SUSTAINABILITY OF HARD APPLE CIDER 8
INTRODUCTION
BACKGROUND
HARD APPLE CIDER IN THE UNITED STATES
Hard apple cider is a newly-emerging niche portion of the craft beverage industry in the
United States (US). While not highly publicized, hard apple cider holds a deep-rooted history in
this country, particularly in the Northeast; the first English settlers began cultivating apple
orchards in the mid-1600s, early on in the colonization of this region. While many of the native
apple trees produced inedible crabapples, transplanted saplings from England took well to the
region’s soil, making hard apple cider the beverage of choice early on in American history
(LeHault, 2011; Cook, 2018). With population, colonization, and agricultural growth, the New
England area is estimated to have produced over 300,000 gallons of cider per year by the turn of
the 18th century (LeHault, 2011). During this time, considered by many historians the “golden
age” of pomology, there were nearly 14,000 apple varieties being produced in the US (Ragan,
1905), an astonishing amount which perhaps can explain the cultural link between America and
apples. However, near the peak of the industry, this trend began to turn. With the expanding and
diversifying population, beer became the beverage of choice for new Americans. Further, the
emergence of town markets and improved road systems allowed for the reliable transportation of
wagons with heavy loads, which changed the small colonies’ reliance on local farmers for their
food and beverage needs (LeHault, 2011; Torres & Momsen, 2011). Farms towards the West
were capable of growing mass amounts of grain, necessary for beer production, with their
expansive cropland and at a much quicker pace and more affordably than was possible for fruit
trees. Affordability and access aside, the diversifying population had an existing palate (and
brewing knowledge) for beer, and the demand for hard apple cider steadily decreased. German
SUSTAINABILITY OF HARD APPLE CIDER 9
brew masters brought their perfected recipes for lagers and pilsners to cater to the German
immigrant population, expanding their customer base and changing the palates of the cider-
drinking English and Irish immigrants (Miller, 1999).
In addition to decreased demand, the hard cider industry was further threatened by the
National Prohibition Act of 1920, which introduced Prohibition to the US with the goal of
prohibiting the production, sale, and transport of intoxicating beverages. This Act instantly
changed the face of apple agriculture; in order to stay profitable farmers changed their crop from
the cider-producing bitter varieties to dessert varieties of apples, displacing many of the apple
tree varieties renowned for quality hard apple cider (Cook, 2018). Mass merchandising also
became opportunistic for orchards, allowing them to transport fruit across the country with
relative ease and to do so year-round with improving refrigeration and storage systems (Torres &
Momsen, 2011; Cook, 2018). The market, both influenced by law and consumer demand, had
changed this “golden age” to a more commercial one. Compared to the astounding 14,000
varieties seen in the late 1800s, today we see less than 100 varieties of commercially grown
apples in the US (Ragan, 1905; US Apple Association, 2019). While Prohibition ended in 1933,
the cider industry never recovered to its former glory, as the face of the alcoholic beverage
industry had shifted significantly. Beer persisted as the beverage of choice for many, due to both
accessibility and taste preferences of the growing population. Barley, a key ingredient for beer,
never halted agricultural production as it holds multiple uses for consumers; cider apple trees,
however, often take a minimum of three years to fruit, and can take up to five to reach their full
potential for fruit production (Cook, 2018). Many of the heirloom apple varieties originally
transplanted from England vanished from the agricultural scene (Cook, 2018; Brown &
Bradshaw, 2013). In recovering from the Great Depression, orchardists could not afford to take a
SUSTAINABILITY OF HARD APPLE CIDER 10
3-year loss in hopes of rebuilding the hard apple cider industry, thus contributing to the downfall
of American cider (Cook, 2018; Brown & Bradshaw, 2013).
While there have been some hard apple cider sales in the US previously, this product began a
nationwide revival in 2012, when Boston Beer Company launched Angry Orchard, making hard
apple cider once again a familiar product on the market (Brown & Bradshaw, 2013; LeHault,
2011). This re-introduction of hard apple cider to the American palate has helped to build a
consumer base for cider once again. Since then, US cider sales have risen, with recent trends
revealing a higher growth rate in craft ciders versus brands owned by larger corporations (Cook,
2018; US Apple Association, 2019). The global cider market was valued at $10.7 billion in 2016,
and is projected to reach over $16.3 billion by 2023, growing at a compound annual growth rate
(CAGR) of 6.1% (Global Cider Market, 2018). This growth is more pronounced in North
America, with an expected CAGR of 10.6% in this time period (Global Cider Market, 2018).
The alcoholic beverage industry encompasses a wide range of products, including fermented
and distilled beverages such as beer, wine, and spirits, among others. The hard apple cider
industry is the smallest, but fastest growing portion of this industry; and like all other products in
this industry, cider is largely dominated by larger corporations (Rogerson, 2016; Bernot &
Fowel, 2016). Throughout the US, however, regional/local ciders have seen growth in sales
ranging from 15-35%, showing that the pathway for regionalized cider varieties has been
established and is expected to continue expansion (The Neilson Company, 2018). While it is
difficult to tell whether consumer preferences for commercially made cider are driven by taste or
accessibility, many of these larger corporations rely on what would typically be considered
dessert-variety apples, producing a sweeter product with considerably less character than
traditionally made hard apple cider (Cook, 2018). As comparable to large agribusiness, these
SUSTAINABILITY OF HARD APPLE CIDER 11
beverage corporations are able to turn a profit from their product. This larger-scale
commercialization of hard apple cider has, to some extent, opened an opportunity for more
traditionally-made products from cider-variety apples (Brown & Bradshaw, 2018; Cook, 2018).
While this may not be an economically viable option for larger corporations, it provides an
entryway for private orchardists to reinvent the American orchard scene and look towards the
countries’ rich history in pomology.
CHALLENGES AND OPPORTUNITIES IN MODERN-DAY AGRIBUSINESS
The United States (US) Environmental Protection Agency (EPA) (2018) estimated that 9.9%
of the country’s greenhouse gas emissions stemmed from the agricultural sector, the equivalent
of 666.7 million metric tons of carbon dioxide (CO2). While the majority of these emissions are
due to industrial agriculture, most notably from livestock production, farms of all scales must
consider the implications of their management practices. Agricultural pollution has many
different sources with varying toxicological effects; for example, fertilizers and pesticides can
produce potent greenhouse gases and pollutant runoff which can contaminate air, water, and soil
in addition to residing directly on consumable goods (Oosterveer & Sonnenfeld, 2011). In order
to provide enough food and supplies for the growing population, the nature of industrialized
agriculture relies on monoculture which allow for greater scale in operation; however,
monoculture farms are not self-sustaining, and are totally dependent on external energy sources
(Oosterveer & Sonnenfeld, 2011). This increased reliance on management intervention can lead
to significant degradation of soil quality and fertility, which is counterproductive as soil is the
basis of agriculture. The impacts of resource consumption, such as energy and water
requirements, can create significant problems throughout their lifecycle, particularly when
compounded by issues such as climate change and water scarcity. These system inputs can have
SUSTAINABILITY OF HARD APPLE CIDER 12
both direct and indirect effects on the environment, thus impacting environmental quality which
characteristics therein effect the health and wellbeing of ecosystems and human beings.
In a response to globalization, a food system localization movement has begun to shape the
way many people value and choose consumable goods. While globalization increases access to
diverse, new, and otherwise unavailable goods, it can also lead to undesirable industrialization
and homogenization of the food system. The National Institute of Food and Agriculture (2020)
defines sustainable agricultural practices as those which are made with intent to “protect the
environment, expand the Earth’s natural resources base, and maintain and improve soil fertility.”
Localization of a food system can help to frame sustainable agriculture and food by encouraging
producers to incorporate practices that avoid environmental degradation, support
agrobiodiversity, empower employees and local community networks, and support economic
growth throughout the local region (Hinrichs, 2003; Andree, 2014). Food system localization
inherently supports biodiversity, which is a primary indicator of a healthy ecosystem, through the
generation and integration of self-sufficient ecosystems. Instead of relying on resource-intensive
intervention, localized food systems often depend on human labor leading to lower production of
greenhouse gases associated with chemicals, fossil fuels, and energy-intensive technologies
(Andree, 2014).
Localized food systems also allow for a number of societal benefits. With globalized food
systems, consumable goods become purely functional and we begin to lose value in our food
choices such as nutritional quality, cultural significance, and supporting sustainable agricultural
practices (Oosterveer & Sonnenfeld, 2011; Andree, 2014; McCullough, 2008). Localization
allows the opportunity to shift this concern, allowing consumers and producers to place value in
locally grown/created consumable goods, leading to the development of a distinct regional
SUSTAINABILITY OF HARD APPLE CIDER 13
identity based on those exclusive, desirable products (Hinrichs, 2003; Andree, 2014). This
movement can lead to the de-commodification of consumable goods, and support specialization
of high-value grown and crafted goods (Andree, 2014; McCullough, 2008).
Developing a market for specialty agro-food products can be particularly meaningful for
rural development and recognition (Lin & Mao, 2015; Ozcelik, 2016; Speilmann et al., in press).
These newly developed markets can assist in reviving and supporting traditional cuisine; for
example, the Slow Food movement, which originated in Italy, promotes and protects local and
traditional cooking and has spread internationally (Leitch, 2003; Slow Food, 2015). As people
are searching for a deeper connection to the environment and a region, the demand for traditional
consumable goods with cultural and historical significance continues to increase (Cerutti, 2013).
Localization of food systems allows for the market to develop in such a way that creates
economic viability for craftsmen to spend the time necessary to develop these consumable goods
without fear of financial loss (Hinrichs, 2003; Cacciolatti et al., 2015). This regional economic
growth can be done in agricultural areas and the peripheral rural regions through specialty
product marketing and tourism. By insisting on high-quality products with integrity, regions may
create an elite level of localism, making visiting and supporting the area attractive to tourists
interested in experiencing a deeper connection with a unique culture and the environment (Cheng
& Wu, 2014; Oosterveer & Sonnenfeld, 2011). When a connection with the environment
becomes a priority for individuals, sustainable agricultural and production practices are
supported. Sustainable practices such as agrobiodiversity have become increasingly supported by
tourists and regional place-building. When a region is being celebrated for the things that make it
unique and desirable, other aspects of sustainability become increasingly important. For
example, localization of food systems encourages supporting biodiversity in an agricultural
SUSTAINABILITY OF HARD APPLE CIDER 14
setting because it makes those systems independent from outside sources, making the elite aspect
of visiting those regions and consuming their products heightened (Sims, 2009; Oosterveer &
Sonnenfeld, 2011).
The industrialization of agriculture has led to a disconnect between consumers and
producers, and the associated issues between food and the environment have been overlooked
and ignored, leading to a number of challenges such as agricultural landscape depletion, loss of
biodiversity, and degraded ecosystems and environmental quality (McCullough, 2008;
Oosterveer & Sonnenfeld, 2011). For something as intimately essential as food is to human
quality of life to have undergone this disconnection for so long makes it very challenging to
build the necessary infrastructure for a paradigm shift that would support the consumer-producer
relationship, and build a strong market for sustainable agriculture and environmentally-conscious
consumers (Oosterveer & Sonnenfeld, 2011).
Improved accessibility and availability of fresh produce has allowed the general population
to rely heavily on corporate agribusiness, making the small American farm less of a necessity
and more of a novelty. Between globalization and improvements in shipping and storage
methods, orchardists have begun to seek other means of profitability (Cook, 2018). While still
mostly relying on dessert apple varieties, orchardists are beginning to turn back to hard apple
cider as a means of increased profitability (Cook, 2018; Wilson. 2019). One major benefit of
producing cider is that it can capitalize on using dropped, blemished, imperfect fruits.
Nonalcoholic sweet cider profit values roughly $9/bushel versus hard cider profit valuing about
$135/bushel (US Apple Association, 2019). This missed market opportunity has been noticed by
some, and has begun to revitalize the hard apple cider industry. Mass merchandisers view apples
in terms of aesthetic value, shelf life, and disease resistance rather than the former celebratory
SUSTAINABILITY OF HARD APPLE CIDER 15
values of variety and uniqueness. While these changes in agricultural industry ideals may have
led to a disconnect between land, fruit, and the consumer, there has been some change led by
consumer demand that has increased the value of local, artisanal goods (i.e. the locavore
movement). The increasing popularity of high-value artisan products can be seen in the more
popular craft brewing industry, which in a way has allowed a path for hard apple cideries to enter
the craft beverage market. In addition, the craft beverage industry has created a huge tourist
following, and many farms have begun to expand their operations to include some form of
agritourism (Cook, 2018; Wilson, 2019). Producing cider allows for another agritourism
opportunity, unique from beer or wine, allowing orchardists to increase profitability for all edible
products. The production of heritage high-value products like cider provides economic benefits
and cultural sustainability to the local, rural communities in which the producers reside (Wilson,
2019). While this trend opens an exciting opportunity to reinvigorate small American orchards
and improve rural, agricultural economies, this growth could also lead to the industry growing
beyond its means, creating a strain on the environment.
Agricultural sustainability is a fundamental requirement for environmental conservation,
food production, and food security. In order to achieve agricultural sustainability, it is essential
that policies are put in place that support sustainable practices and that agricultural institutions
are provided access to the necessary knowledge and technology in order to avoid eroding
biodiversity and environmental quality as well as prepare for the inevitable challenges of climate
change and geographic difficulties (Lankosi & Thiem, 2020). In an increasingly globalized food
system, sustainable agriculture faces challenges in being financially competitive in even its local
market. Policies that support the development of localized food systems can support consumer
valuation on the relationship between themselves, the producer, and the product (Selfa & Qazi,
SUSTAINABILITY OF HARD APPLE CIDER 16
2005; Heron & Roche, 2018; Papaoikonomou & Ginieis, 2017). For most agricultural producers,
it would be more realistic from an economic standpoint to not be fully localized, but rather
distribute in local networks and distribute through larger supply-chains beyond regional
networks (Heron & Roche, 2018). Even when distributing outside of the local network,
agricultural sustainability can be achieved when internal and external policies align to support
the needs of the industry as well as the demands of the consumer.
By acknowledging these inherent challenges with the foundation of cider in the face of a
growing demand for high-quality American cider, orchardists and policy developers alike should
aim to identify sustainable solutions. As opportunity awaits small businesses to grow, sustainable
decisions must be market-driven in order for those industries to be profitable (Lankoski &
Thiem, 2020). By identifying where the market lies for sustainably produced products, we aim to
guide cider producers and policy developers alike. While hard apple cider may be a relatively
small sector within the larger craft beverage industry, it provides a unique opportunity for private
orchardists. High-value artisan products have been shown as a means towards improved
intergenerational transitioning of land and revitalization of rural economies, two key challenges
private farms face in today’s economy (Pensieroso & Sommacal, 2019). Localized food systems
make a case for themselves as proving more sustainable than commercial/globalized ones; by
supporting their proliferation, improved local outcomes through measured sustainability metrics
are possible. By investigating hard apple cider production as a potential path for orchardists, we
hope to improve orchardists’ livelihood as well as reconnect alcoholic beverage consumers to
land and locality.
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STUDY AREA
This study explores the northeastern region of the US (Connecticut, Delaware, Maine,
Maryland, Massachusetts, New Hampshire, New York, New Jersey, Pennsylvania, Rhode Island,
and Vermont), and focuses specifically on the Mid-Atlantic states (New York, New Jersey, and
Pennsylvania) as a case study to better understand the environmental and economic impact of
orchard management and hard apple cider production for the country (Figure 1).
FIGURE 1. RESEARCH STUDY AREA
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The US Northeast represents the densest apple-growing region in the country (Figure 2),
indicating a strong apple growers’ economy (Table 1), and is largest and fastest-growing hard
apple cider economy in the country (The Neilson Company, 2018).
FIGURE 2. TOTAL ACRES OF APPLES, AS PERCENT OF LAND IN ORCHARDS
(2017) US DEPARTMENT OF AGRICULTURE. AG CENSUS WEB MAPS.
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TABLE 1. US NORTHEASTERN STATES APPLE ORCHARD STATISTICS
State
Abr.
Apple-bearing
Acres
Apple-bearing
Density (%)
Price per
Pound ($)
Hard Apple
Cider Producers
c
Connecticut
CT
1,800 b
0.05
0.679 a
10
Delaware
DE
ND
ND
ND
3
Maine
ME
2,700 b
0.01
0.439 a
17
Maryland
MD
1,800 b
0.02
0.193 a
5
Massachusetts
MA
3,300 b
0.05
0.382 a
28
New Hampshire
NH
1,300 b
0.02
0.638 b
8
New Jersey
NJ
2,200 b
0.04
0.943 a
3
New York
NY
44,000 a
0.13
0.269 a
85
Pennsylvania
PA
19,500 a
0.07
0.223 a
38
Rhode Island
RI
230 b
0.03
0.831 b
2
Vermont
VT
2,100 b
0.03
0.742 a
17
United States
US
293,700 a
0.01
0.321 a
749
(a) US Department of Agriculture, National Agricultural Statistics Service, Noncitrus Fruits and
Nuts 2019 Summary; (b) US Department of Agriculture, National Agricultural Statistics Service,
Noncitrus Fruits and Nuts 2017 Summary; (c) Cider Guide. US Cider Map. Retrieved from
https://www.ciderguide.com/cider-maps/united-states/; ND = No Data
From 2017-2018, hard apple cider sales in the northeast were estimated to have increased by
12%; while this upward trend is seen throughout the United States, this region is growing at a
rate 3-5% higher than the remainder of the country. While commercial brands still hold the
majority of total sales, regional/local cider holds 27% of the market share in the northeast, and
has a 15% growth over this same time period (The Neilson Company, 2018). In addition to
volume of sales increase, the price of regional/local cider brands have had success in charging a
premium as compared to alternate alcoholic beverage options (The Neilson Company, 2018).
While hard apple cider on average is close to the same price as craft beer, regional/local ciders
charge an approximately 30% premium in comparison to craft beers. While the cost to produce
hard apple cider is generally more expensive than that of beer, this ability to charge a premium
shows that the product is being highly valued compared to its indirect competitors (Cook, 2018;
Global Cider Market, 2018) . The US Northeast also represents the country’s greatest population
SUSTAINABILITY OF HARD APPLE CIDER 20
density at 345.5 people/mi2, with the Mid-Atlantic states representing an even higher density at
416.5 people/mi2. Despite this apparent opportunity, the industry’s producer-consumer
relationship has not been adequately explored. While industry growth is apparent, there has not
been sufficient research in this area to determine whether hard apple cider is a sustainable
contribution to the food and beverage industry nor to the region’s apple-growing community.
RESEARCH OBJECTIVES
The overarching goal of this dissertation is to analyze the environmental and socioeconomic
opportunities and challenges surrounding apple orchard and hard apple cider production
management in the Northeastern US. This research addresses four closely linked objectives, and
will focus on answer the following research questions:
• What influences farmers’ apple orchard current management practices and their
willingness to adopt sustainable practices?
• What sustainability attributes are considered valuable to hard apple cider consumers, and
how much are they willing to pay for these added qualities?
• What is the environmental and economic impact of the hard apple cider production system
over the course of its lifetime?
• What is the environmental and economic risk of hard apple cider production, and what are
the best adaptation and mitigation strategies to address that risk?
Specifically, the research objectives are to:
1. Identify the relationship between farmers’ values, beliefs, and norms and their likelihood
to utilize sustainable apple orchard management practices.
SUSTAINABILITY OF HARD APPLE CIDER 21
2. Identify a hierarchal relationship amongst sustainability attributes for hard apple cider,
and the added value associated with those benefits.
3. Quantify the emissions and environmental impacts associated with hard apple cider
production, and assess the lifetime socio-economic costs.
4. Assess the environmental and economic uncertainties of hard apple cider production, and
identify management strategies to address the associated risks.
In Chapter 1, we explore apple orchard owner/managers’ perceptions towards the
environment, and how those perceptions shape their current management practices as well as
their willingness to adopt sustainable management practices in the future. We developed an
online questionnaire utilizing the Value-Belief-Norm (VBN) theory, which provides a
framework for understanding behavioral action and inaction in the context of environmentalism,
and collected responses from 65 orchardists in the US Northeast. Through the use of principal
components analysis, we reduced the 27 VBN variables to 8 key components which were used to
further explore respondent’s relationship with sustainable management using multiple regression
models. We analyze the relationship between the 8 VBN components, current management
practices, and willingness to adopt sustainable management practices to estimate the level of
influence environmental preconceptions have over sustainable apple orchard management.
Further, we explore the key motivators and inhibitors that influence current and potential hard
apple cider producers. This study provides important information which can be utilized to guide
supporting community networks and policy framework to support sustainable orchard
management practices and the rural economy in the northeast.
In Chapter 2, we explore how hard apple cider consumers value different aspects of
‘sustainability’, and whether they are willing to pay a premium price for those attributes in the
SUSTAINABILITY OF HARD APPLE CIDER 22
hard apple cider they consume. We developed an online questionnaire and collected 630
responses from hard apple cider consumer residents of New York, New Jersey, and
Pennsylvania. We utilized an integrated best-worst-choice (BWC) model, which is a two-tiered
analytic approach which combines best-worst scaling (BWS) and discrete choice experiment
(DCE) methods to explore BWS estimations and willingness to pay (WTP) through an additional
choice task. Through BWS, we are able to generate a hierarchal scaling of attributes related to
sustainable management used in the hard apple cider production industry; through DCE we are
able to estimate the premium that hard apple cider consumers are WTP for the inclusion of those
sustainable attributes. This study provides valuable information which helps us to better
understand how stated preference may lead to actual behavior in terms of purchasing decisions.
This study offers insight into consumer behavior, which is useful in supporting orchardists’
sustainable management practices, as well as provides data which can be used to support
sustainable agricultural policy advocacy and development.
In Chapter 3, we analyze the environmental and economic impact of the hard apple cider
production system and explore management scenarios to determine ecological and financial
feasibility. We developed an integrated life cycle assessment (LCA) and life cycle cost (LCC)
assessment model to assess the lifetime environmental impact by measuring the emissions
associated with each stage of the food production process, and to inform the environmental costs
measures in addition to traditional costing analyses. The LCA model was used to quantify
emissions measures (including agricultural, production, packaging, distribution, and end-of-life
stages) as broader mid- and long-term sustainability impacts ranging from global warming to
natural resource scarcity. The LCC model addressed capital expenditure, fixed annual costs,
variable costs, and environmental costs (carbon dioxide and nitrous oxides) and calculated the
SUSTAINABILITY OF HARD APPLE CIDER 23
net present value of the operation over a 30-year lifetime, as well as the average cost to produce
a single serving of hard apple cider. Our LCA-LCC model was further applied to various
packaging and distribution scenarios, which can be used to inform producers’ decision-making
and to provide contextual support to encourage sustainable management practices.
In Chapter 4, we identify the environmental and economic risks associated with hard apple
cider production in order to support adaptation and mitigation risk management strategies. Risk
assessment (RA) provides a framework for interpreting risk data, informing the necessary
precautions needed to avoid that risk, and supporting risk management strategies to reduce risk
amidst a business model. We apply Monte Carlo simulation to our LCA and LCC models, which
allows us to measure uncertainty in the data which can be translated to risk. The LCA-RA model
allowed us to indicate the key environmental impact metrics which had greater data uncertainty,
supporting the need for further source testing for contaminants of concern. The LCC-RA model
allowed us to explore uncertainty in long-term cost data, such as the variability in annual costs,
revenue, and growth rate over a 30-year lifetime at a net present value based on various
discounting rates. This study provides useful data for informing adaptation and mitigation risk
management strategies for apple orchardists and provides support for the value of regular
environmental testing and dynamic management in the face of uncertainty.
SUSTAINABILITY OF HARD APPLE CIDER 24
CHAPTER 1. MOTIVATIONS OF FARMER’S MANAGEMENT
DECISIONS AND WILLINGNESS TO ADOPT SUSTAINABLE
PRACTICES
ABSTRACT: Agriculture has a significant impact on environmental health and quality, and
management decisions made throughout the food supply chain holds a great deal of influence on
those direct and indirect effects. Despite farmers’ role in this, the influences which shape their
management decisions are not well understood. In this study, we survey 65 apple orchard
owners/managers in the northeastern US in an attempt to explore how orchardists’ current
management practices and willingness to implement new, sustainable management practices are
influenced by their personal values, beliefs, and social norms. We found that values are most
influential in motivating current sustainable management practices, while beliefs hold the largest
level of influence over willingness to adopt new sustainable management practices. We also
explored the key influencers and inhibitors behind current and potential hard apple cider
production and found that while consumer demand and potential for increased profitability
provided the largest draw, concerns regarding alcohol sale and distribution laws were seen as a
key detractor. These findings help us understand how community and policy can help build upon
orchardists’ pre-existing values in order to better assist sustainable orchard management. This
support could help avoid further environmental detriment, while backing rural development and
regional growth through apple and hard apple cider sales.
SUSTAINABILITY OF HARD APPLE CIDER 25
1. INTRODUCTION
1.1. BACKGROUND
Agriculture and the US food system are widely recognized as having direct and indirect
effects on the environment, the degree of which is based on a number of factors related to
management decisions throughout the supply chain (Harrison & Hester, 2012). The
industrialization of agriculture has exaggerated these detrimental effects, including
agricultural landscape depletion, loss of biodiversity, degraded ecosystems and
environmental quality (Harrison & Hester, 2012). While production has increased
significantly, the current system leads to unintended environmental consequences related to
emissions and environmental contaminants. This transition, however, is subject to several
challenges, most notably the adoption of behavioral changes associated with sustainable
management (Price & Leviston, 2014; Wang et al., 2019; Wensing et al., 2018). The role of
farmers extends beyond their provision of food; their distinct perception on pro-
environmental behaviors and management decisions which impact the environment play a
key role in fostering a sustainable bioeconomy, which encompasses parts of the economy
which use renewable biological resources to produce food, materials, and energy (Wensing et
al., 2019). Despite their critical role in this system, the factors which shape farmers’ beliefs
and motivations that influence their management decisions are not well understood (Wensing
et al., 2019).
In general, fruit trees have a relatively low environmental impact when compared to other
sectors of agriculture, like ground crops and livestock. However, apple production,
particularly in the Northeast where there are added climate-related challenges, often requires
substantial usage of pesticides, fertilizers, and other resources which yield negative impacts
SUSTAINABILITY OF HARD APPLE CIDER 26
on the environment. However, orchards also have many positive effects, including carbon
fixation, oxygen production, and nutrient cycling (Demestihas et al., 2017). When sustainable
management decisions are made, these benefits can be exemplified while the detriments are
negated. The US is the second largest apple producer in the world, with the northeastern
states hosting the second largest commercial cultivation area of nearly 78 thousand acres,
producing approximately 20% of the country’s apples (United States Department of
Agriculture, 2020). However, despite the Northeast’s prominence, there are some inherent
geographical challenges with apple production in this region, such as greater weather
variability and climatic uncertainty which can affect crop yield and quality (Sayre, 2004).
This uncertainty causes challenges in making timely pest and disease management decisions,
which then leads to greater variability in achieving sustainably managed apple orchards.
The apple industry has recently seen a rise in value-added opportunity through expanding
hard (alcoholic) apple cider marketing. Hard apple cider presents an opportunity in utilizing
blemished, dropped, or otherwise imperfect fruits to produce a product which offers a
significantly higher profit margin than fresh produce. The Northeast has also been recognized
as the fastest growing cider economy in the country, with 12% sales growth from 2017 to
2018 (The Nielsen Company, 2018). The Northeastern states represent an opportunity for
regional distribution network systems which could capitalize on current agricultural
production and existing infrastructure among the most population dense region in the
country. Determining orchardists’ interest in joining the hard apple cider movement could
help create greater support through policy improvements and regional network development,
aiding in building a sustainable bioeconomy even further. To better understand the future of
SUSTAINABILITY OF HARD APPLE CIDER 27
any market, it is critical to explore the perspectives of both the consumer and the producer –
both of which can be done through survey-based research.
One key challenge in survey-based research is participation, particularly when the
population of interest is that of a relatively small proportion of a larger community. Farm and
ranch families comprise a mere 1.3% of the US population, and while apples are the most
consumed fruit in the country, they only account for about 25% of tree fruit production
(United States Department of Agriculture, 2018). This small subset of potential survey
participants, in addition to inherent challenges with surveys (where a typical survey response
rate ranges from 5-30%) often leads to a low sample population. In light of these challenges,
we attempt to better understand farmers managing apple orchards in the US Northeast. This
study aims to understand the motivations guiding farmers’ orchard management practices in
this region, and how those motivations may influence pro-environmental behaviors. To
achieve this, we use the Value-Belief-Norm (VBN) theoretical framework to predict
behaviors through understanding the key influencers leading to behaviors and willingness to
adopt sustainable practices (Wensing et al., 2019; Zhang et al., 2020). Through this, we hope
to identify how policies might be able to better support sustainable practices and to provide
agricultural institutions improved access to the necessary knowledge and technology in order
to avoid eroding environmental quality as well as prepare for the inevitable challenges of
climate change (Bopp et al., 2019).
1.2. VALUE-BELIEF-NORM FRAMEWORK
Multiple frameworks have been developed in order to link one’s beliefs and behaviors,
including the theory of reasoned action (Fishbein & Ajzen, 1980), theory of planned behavior
(Ajzen, 1985), and the value-belief-norm (VBN) theory (Stern et al., 1999). The VBN theory
SUSTAINABILITY OF HARD APPLE CIDER 28
is an attitude-behavioral theoretical framework, originally developed by Stern et al. (1999) to
predict environmental conservation action, that uses ethical reasoning rather than rational
reasoning as a focus to predict behavior (Figure 1. 1). Value-based motivations include those
which are egoistic (self-serving), altruistic (for the benefit of other humans), and biospheric
(for the benefit of other species). Belief-based motivations are those which acknowledge the
new ecological paradigm, such that there is an awareness that human activities can adversely
affect the environment and the associated ascription of personal responsibility. Norm-based
motivations include a sense of obligation due to personal, social, and cultural customs. These
different motivations have shown direct causal effects on each other, as well as behavioral
actions or inactions.
FIGURE 1. 1. VALUE-BELIEF-NORM THEORETICAL FRAMEWORK
The VBN framework has proven particularly successful in predicting behaviors of non-
activist environmentalism and has shown success in predicting farmer behaviors in the scope
of environmental related mitigation and adaptation strategies. Wengsing et al. (2019) used
the VBN framework to evaluate vegetable farmers’ ecological views as a predictor for their
interest in the valorization of horticultural by-product biomass for bioenergy generation. This
study found a positive and significant relationship between awareness of environmental
SUSTAINABILITY OF HARD APPLE CIDER 29
consequences, personal norms, openness to change, perceived effectiveness of and market
demand for bioenergy, and interest in fostering the bioenergy economy through supplying
biomass. Zhang et al. (2020) used both the VBN theory and the theory of planned behavior
(TPB) to examine rice growers’ willingness to adapt agricultural behaviors in the context of
climate change mitigation. They found that the VBN model had higher predictive power for
mitigation strategies, whereas TPB has stronger predictive power for adaptation strategies in
the scope of climate variability, which may be more meaningful in terms of decreasing
agriculture-related emissions.
We have built upon the VBN theory by including green-product specific questions, where
a ‘green product’ was defined as a sustainable product designed to minimize its
environmental impact, aiming to maximize resource efficiency and reduce waste. By framing
survey questions within this extended VBN theory, we hope to measure the significance of
these decision motivators to better inform how to support pro-environmental behavior
through encouraging sustainable apple orchard management practices.
2. METHOD
2.1. SURVEY DESIGN
We developed an online questionnaire (Appendix A) using Qualtrics XM survey software
for this study, prefaced by an explanation that its purpose was to explore how apple
orchardists manage their orchards and what motivates those management decisions. If
applicable, participants were also encouraged to share their views on and experience with the
hard apple cider industry. In order to participate in the survey, participants were required to
be adults (18 years or older) that owned and/or managed an apple orchard in the northeastern
SUSTAINABILITY OF HARD APPLE CIDER 30
US (including Connecticut, Delaware, Maine, Maryland, Massachusetts, New Hampshire,
New Jersey, New York, Pennsylvania, Rhode Island, and Vermont). The first part of the
survey included socio-demographic questions, and also inquired about the participants’ land,
land-use, and participation in non-farming activities (i.e. sales types, event hosting, etc.). The
second part of the survey asked about current orchard management practices and their level
of effectiveness, followed by an inquiry on their willingness to adopt the unselected
practices. The third part of the survey was designed to measure pro-environmental behavior
based on personal values and beliefs, and social norms based on the VBN theory (Table 1. 1),
where questions were derived from a number of farmer-focused surveys (Price & Leviston,
2014; Wang et al., 2019; Wensing et al., 2018). For each question, participants were asked to
answer based on a 5-point Likert scale of ‘strongly disagree’ to ‘strongly agree’.
SUSTAINABILITY OF HARD APPLE CIDER 31
TABLE 1. 1. SURVEY QUESTIONS UNDER THE VALUE-BELIEF-NORM THEORY
Survey Question
I choose management practices because…
Value
I like to provide an equal opportunity working experience.
I like to employ those who are in need.
I like to employ friends and family.
I want to be influential and motivate other farmers.
I want to be the best in my field.
I want to earn more money.
I want to prevent pollution and conserve natural resources.
I want to respect the natural world.
I want to protect and preserve the earth and nature.
Belief
I believe that…
Humans have the right to modify their natural environment to suit their needs.
It is my responsibility to protect natural ecosystems.
Plants and animals have as much a right as humans to exist.
The balance of nature is very delicate and easily upset.
The earth has plenty of natural resources if we just learn how to develop them.
It is my responsibility to avoid polluting the environment.
Agriculture is a main contributor to environmental issues.
Runoff from fertilizer and pesticide use is a major pollutant.
Agriculture is disruptive to natural ecosystems.
It is my responsibility to minimize my environmental impact.
Green products should cost more than conventional ones because…
They are more challenging to produce.
They are more expensive to produce.
Norm
I feel…
That I should behave in an environmentally friendly way.
An obligation to buy green products where possible (i.e. organic, local, etc.)
An obligation to protect the environment.
People I know…
Are concerned about the environment.
Think it’s important to buy green products (i.e. organic, local, etc.)
Try to behave in an environmentally friendly way.
The survey concluded with an optional series of questions inquiring about their views,
experience, and concerns regarding hard apple cider production. As the survey involved
human subjects, it was reviewed and approved by Montclair State University’s Institutional
Review Board (IRB) (study no. FY19-20-1803) before being administered.
SUSTAINABILITY OF HARD APPLE CIDER 32
2.2. SAMPLING METHOD AND SURVEY ADMINISTRATION
A distribution email list was generated from publicly available online resources (Orange
Pippin, 2020; Cider Guide, 2020; American Cider Association, 2020) of apple orchards and
hard apple cider producers in the US Northeast. The original list included email addresses
representing three hundred thirty-eight establishments; thirty-two were removed based on
self-reported feedback (did not meet the participation criteria). The survey was administered
July-August 2020 and was sent to our final distribution list of three hundred six potential
participants. From this, we collected sixty-four complete responses, representing a 20.9%
participation rate. Survey results were numerically coded and transcribed into SPSS
statistical software for analysis. Respondents had personally owned or managed the land for a
range of 2-54 years, averaging at approximately 21 years. 45.2% had purchased the land,
37% had inherited the land, 6.5% rent or lease the land, and the remaining respondents
reported it was a family or community-owned farm or that they did not hold any ownership
over. 62.5% of participants self-reported as the primary decision maker, 28.1% as a joint
decision maker, and the remaining 9.4% had some influence in the decision-making process.
The majority of respondents identified as male (77.6%), white or Caucasian (85.7%), and
having received a high level of formal education (89.8% received a bachelor’s degree or
higher).
2.3. DATA ANALYSIS
The VBN theory was tested using principal components analysis (PCA), which helped us
confirm the validity of our model and identify the key components responsible for the
greatest variance in the data amongst the 28 factors analyzed (Denis, 2018). PCA is a method
of data reduction, which is useful in reducing a large dataset of related variables to a few
SUSTAINABILITY OF HARD APPLE CIDER 33
principal components. The components that are extracted are those which account for the
greatest variance in the data. The factors considered for further analysis were those with
eigenvalues above 1.0, and those which loaded above 0.4 on the communalities meeting the
Stevens requirement (Denis, 2018). The model validity was confirmed using Kaiser-Meyer-
Olkin (KMO) and Bartlett’s test of sphericity measures, where KMO return values above 0.6
are considered adequate, and Bartlett’s values indicate significance level less than 0.05
(Denis, 2018). The principal components identified were then used for creating the predictive
models, which explored the relationship between VBN factors and likelihood of currently
utilizing and willingness to implement sustainable orchard management practices.
To explore the relationship between the VBN factors and current use of sustainable
management practices, we produced a multiple linear regression model. For this model, the
VBN regression factor scores derived from the PCA were used as the independent variables.
The dependent variables were generated from the survey responses to a series of binomial
yes-no questions, where respondents were asked to select from a list which management
practices they currently partake in, 16 of which were considered ‘sustainable’. There was
also a write-in option where participants were encouraged to specify additional practices, and
share more about their views, challenges, and successes with orchard management decisions.
These write-in responses were not included in the regression models but rather were used as
qualitative data in the following section. Of the management practices that participants did
not select, participants were asked to identify how willing they were to adopt the practice in
the future based on a 5-point Likert scale from “not at all” to “very”. The scale responses
were used as our dependent variables and the regression factor scores derived from the PCA
were again used as the independent variables for the model.
SUSTAINABILITY OF HARD APPLE CIDER 34
Finally, we explored the motivations for producing hard apple cider as well as the
perceived challenges with the industry for survey participants both currently producing
(38.8%) and those who expressed interest (24.5%) in producing hard apple cider. Due to the
smaller sample size (n=31), we restricted our analysis to descriptive statistics and used write-
in responses as qualitative data to support our discussion.
3. RESULTS AND DISCUSSION
3.1. PRINCIPAL COMPONENTS ANALYSIS
The principal components analysis revealed the presence of eight factors with
eigenvalues above 1.0, which explained 76.2% of the variance in the data. The Kaiser-
Meyer-Olkin measure of sampling adequacy of 0.644 exceeded the recommended value of
0.6, and Bartlett’s tests of sphericity resulting of 916.472 with p<0.001 supported the initial
factorability of the correlation matrix (Denis, 2018). No variables loaded on multiple
components, nor did any load below 0.5 on communalities determining that no variables
needed to be removed from the factor analysis (Denis, 2018). The variables were further
tested using a varimax rotation, which revealed an optimal loading result (Table 1. 2). The
communality scores listed for each variable represents the proportion of variance explained
by the principal component; for clarity on how the variables were reduced, we only included
the communality score for the component responsible for the greatest level of variance in the
data. We gave the eight components new names which summarize the variables they each
contain: (1) Environmentalist, (2) Naturalist, (3) Agricultural, (4) Action, (5) Green Products,
(6) Leadership, (7) Self-Interest, (8) Conservationist. The factor scores for each of the eight
components were saved as regression variables for further analyses used in the following
sections of this report.
SUSTAINABILITY OF HARD APPLE CIDER 35
TABLE 1. 2. ROTATED COMPONENT MATRIX
#
Component
Variable
VBN
Variance
1
Environmentalist
I believe that it is my responsibility to avoid polluting
the environment.
B
.845
I believe that it is my responsibility to protect natural
ecosystems
B
.773
I believe that the balance of nature is very delicate
and easily upset.
B
.740
I feel that I should behave in an environmentally
friendly way.
N
.699
I believe that it is my responsibility to minimize my
environmental impact.
B
.681
I feel an obligation to protect the environment.
N
.662
People I know are concerned about the environment.
N
.635
I believe that plants and animals have as much a right
as humans to exist.
B
.595
2
Naturalist
I want to respect the natural world.
V
.928
I want to protect and preserve the earth and nature.
V
.922
I want to prevent pollution and conserve natural
resources.
V
.802
3
Agricultural
I believe that agriculture is a main contributor to
environmental issues.
B
.838
I believe that agriculture is disruptive to natural
ecosystems.
B
.769
I believe that runoff from fertilizer and pesticide use
is a major pollutant.
B
.705
4
Action
People I know try to behave in an environmentally
friendly way.
N
.830
People I know think it’s important to buy green
products (i.e. organic, local, etc.)
N
.769
I feel an obligation to buy green products where
possible (i.e. organic, local, etc.)
N
.505
5
Green Products
Green products should cost more than conventional
ones because they are more challenging to produce.
B
.943
Green products should cost more than conventional
ones because they are more expensive to produce.
B
.934
6
Leadership
I like to provide an equal opportunity working
experience.
V
.701
I like to employ friends and family.
V
.671
I want to be influential and motivate other farmers.
V
.658
I like to employ those who are in need.
V
.587
7
Self-Interest
I want to be the best in my field.
V
.728
I want to earn more money.
V
.727
I believe that the earth has plenty of natural resources
if we just learn how to develop them.
B
.660
SUSTAINABILITY OF HARD APPLE CIDER 36
8
Conservationist
I believe that humans have the right to modify their
natural environment to suit their needs
B
-.880
3.2. SUSTAINABLE ORCHARD MANAGEMENT DECISIONS
We used the regression factors from the PCA to further explore the relationship between
the 8 motivation categories and the sustainable orchard management practices presented to
the survey participants. Participants were asked to indicate whether they did or did not
currently practice each of the sustainable practices listed in Table 1. 3. For each sustainable
practice, the p-value represents the correlation between it and the motivation factor.
Environmentalist motivations showed a significant relationship with practicing inter-row
plantings and regular plant tissue nutrient testing. These practices are associated with
encouraging tree health through diverting pests/disease and informing soil nutrient
management needs respectively; thus, the relationship between these preventative measures
and the Environmentalist component is not surprising. Naturalist motivations showed a
significant relationship with using active water/irrigation management and conservative
fertilization practices. While agriculture requires some level of resource manipulation, these
conservative practices require limited intervention which reflects the Naturalist component.
Green Product motivations showed a significant relationship with regular plant tissue
nutrient testing. Plant tissue nutrient testing is a valuable tool, but often requires external lab
testing which can be financially inhibitive compared to other sustainable management
practices. Leadership motivations showed a significant relationship with conservation of
native animals and plants, promoting biodiversity through habitat management, regular soil
nutrient testing, and use of organic fertilizers. This component held influence over the
greatest number of management variables, arguing that actions which are both self-serving as
SUSTAINABILITY OF HARD APPLE CIDER 37
well as ‘for the greater good’ are highly associated with egotistic values. Conservationist
motivations showed a significant relationship with beekeeping; while beekeeping does
require manipulation of the natural environment, there are many co-benefits associated with
the practice which go beyond self-serving ones. Agricultural, Action, and Self-Interest
motivations showed no significant relationship with any of the given management practices.
TABLE 1. 3. LINEAR REGRESSION - IMPACT OF PCA FACTORS ON CURRENT
SUSTAINABLE MANAGEMENT PRACTICES
Principal Components (p-value)
Dependent Variable
1
2
3
4
5
6
7
8
Inter-row plantings
.015***
.382
.411
.795
.219
.135
.328
.599
Conservation of native
animals and plants
.604
.519
.986
.758
.788
.011***
.965
.728
Planting pollinator-
attracting plants
.620
.599
.846
.273
.380
.763
.861
.930
Beekeeping
.307
.896
.260
.647
.132
.874
.953
.031**
Rainwater collection
.963
.177
.825
.298
.839
.959
.686
.433
Active water/irrigation
management
.489
.012**
.847
.362
.767
.289
.396
.635
Integrated pest
management
.148
.112
.510
.893
.988
.269
.250
.470
Promote biodiversity
through habitat
management
.187
.242
.760
.976
.799
.046**
.312
.469
Conservative fertilization
practices
.835
.064*
.476
.541
.850
.922
.484
.775
Regular soil nutrient
testing (every 1-3 years)
.244
.428
.811
.499
.493
.040**
.368
.511
Regular plant tissue
nutrient testing (every 1-3
years)
.049**
.605
.745
.653
.033**
.187
.349
.300
Planting tolerant/resistant
species and cultivars
.706
.210
.332
.355
.564
.190
.925
.922
Manual controls to reduce
pests
.415
.313
.651
.698
.718
.705
.372
.537
Use of organic pesticides
.328
.676
.703
.501
.513
.125
.412
.719
Use of organic fertilizers
.296
.461
.609
.707
.116
.082*
.654
.241
(1) Environmentalist, (2) Naturalist, (3) Agricultural, (4) Action, (5) Green Products, (6)
Leadership, (7) Self-Interest, (8) Conservationist; Significance p ≤ 0.01***, p ≤ 0.05**, p ≤ 0.1*
SUSTAINABILITY OF HARD APPLE CIDER 38
As a follow-up question, participants were asked to indicate their willingness to adopt
sustainable practices which they were not currently using; Table 1. 4 shows the relationship
between the motivation factors and those practices. Environmentalist motivations showed a
significant relationship with inter-row plantings, and conservation of native animals and
plants. Agricultural motivations showed a significant relationship between inter-row
plantings, native ground cover, rainwater collection, active water/irrigation management,
promote biodiversity through habitat management, regular soil and plant tissue nutrient
testing, manual controls to reduce pests, and use of organic pesticides. Action motivations
showed a significant relationship with native ground cover. Green Product motivations
showed a significant relationship with conservation of native animals and plants, planting
pollinator-attracting plants, and integrated pest management. Leadership motivations showed
a significant relationship with planting pollinator-attracting plants, integrated pest
management, and regular plant tissue nutrient testing. Self-Interest motivations showed a
significant relationship with inter-row plantings and promote biodiversity through habitat
management. Conservationist motivations showed a significant relationship with native
ground cover, planting pollinator-attracting plants, beekeeping, rainwater collection, and
promote biodiversity through habitat management. Naturalist motivations showed no
significant relationship in likelihood to implement sustainable practices.
SUSTAINABILITY OF HARD APPLE CIDER 39
TABLE 1. 4. STANDARD LEAST SQUARES REGRESSION - IMPACT OF PCA
FACTORS ON LIKELIHOOD TO IMPLEMENT SUSTAINABLE MANAGEMENT
PRACTICES
Principal Components (p-value)
Dependent
Variable
1
2
3
4
5
6
7
8
Inter-row
plantings
.040**
.576
.000***
.875
.906
.695
.094*
.157
Native ground
cover
.491
.223
.034**
.040**
.259
.681
.402
.001***
Conservation
of native
animals and
plants
.012***
.349
.224
.159
.085*
.149
.260
.869
Planting
pollinator-
attracting
plants
.165
.463
.200
.119
.021**
.071*
.451
.021**
Beekeeping
.112
.603
.549
.300
.342
.953
.434
.098*
Rainwater
collection
.863
.994
.094*
.418
.708
.116
.977
.043**
Active
water/irrigatio
n management
.748
.375
.014***
.881
.991
.361
.981
.869
Integrated pest
management
.207
.184
.375
.285
.046**
.045**
.473
.106
Promote
biodiversity
through habitat
management
.282
.134
.079*
.397
.377
.738
.001***
.009***
Conservative
fertilization
practices
.503
.653
.674
.329
.476
.447
.181
.630
Regular soil
nutrient testing
(every 1-3
years)
.112
.792
.072*
.754
.142
.126
.258
.152
Regular plant
tissue nutrient
testing (every
1-3 years)
.575
.425
.017***
.998
.292
.092*
.510
.225
Planting
tolerant/resista
nt species and
cultivars
.583
.894
.947
.409
.727
.466
.965
.645
SUSTAINABILITY OF HARD APPLE CIDER 40
Manual
controls to
reduce pests
.127
.115
.086*
.611
.365
.709
.694
.805
Use of organic
pesticides
.611
.770
.008***
.512
.578
.587
.141
.334
Use of organic
fertilizers
.584
.960
.644
.784
.987
.580
.494
.308
(1) Environmentalist, (2) Naturalist, (3) Agricultural, (4) Action, (5) Green Products, (6)
Leadership, (7) Self-Interest, (8) Conservationist; Significance p ≤ 0.01***, p ≤ 0.05**, p ≤ 0.1*
Many participants expressed their challenges with sustainable farming management
decisions, and their frustrations with communicating to the customer in a way that is
meaningful for both the business’s success and the customer’s values.
“Customers [expect] cheap food, and farmers have to use scale of production to meet
those needs [leading them to] cut prices where they can. The [globalization] of the food
chain has led to the end of the family farm, and will soon lead to more food insecurity.”
The producer-consumer gap is not a new phenomenon, but has been exacerbated based on
the greater disconnect between land and society. This disconnect exists not only due to
limited interaction between the producer and consumer, but also with the propagation of
misinformation through multiple conflicting sources.
“Sustainable farming works together with its natural environment… measured use of both
organic and synthetic inputs can be a part of a sustainable farm system where everything is
able to succeed: the natural world, the business, and the people being fed from that land.”
This poor communication not only affects the consumer, but also leads to confusion and
disagreement within the farming community.
SUSTAINABILITY OF HARD APPLE CIDER 41
“The wide variation in greener agricultural practices makes it hard to figure out what will
and what won’t work. [SARE-type projects] should produce information that encapsulates a
start-to-finish model to adopting such practices effectively and profitably.”
Despite these challenges, most participants expressed a genuine concern for the environment,
and took great consideration in how their practices may impact their environment, business,
and community.
“I am just trying to do right by the earth and practice a do not harm philosophy.”
3.3. GREEN AND PREMIUM PRODUCTS
We also used the regression factors from the PCA to further explore the relationship
between the 8 motivation components and participants’ willingness to produce green and
premium-priced products. Participants were asked to indicate their willingness based on a 5-
point Likert scale from ‘not at all’ to ‘very’ as seen in Table 1. 5. Willingness to produce a
green product regardless of the sales price showed a relationship with Agricultural, Action,
Green Products, Leadership, and Conservationist motivations. Willingness to produce a
green product if they could charge a premium price showed a relationship with Naturalist,
Agricultural, Action, and Green Products motivations. The high association with
environmental-based values, beliefs, and norm related motivations supports our findings that
the participants have a high regard for environmental well-being. While they are running a
business, profitability is not their key motivation guiding their management practices.
Willingness to incur more costs in order to produce a green, premium-priced product showed
a relationship with Naturalist, Agricultural, and Leadership motivations. Willingness to
commit more time and effort in order to produce a green, premium-priced product showed a
SUSTAINABILITY OF HARD APPLE CIDER 42
relationship with Naturalist and Agricultural motivations. A key distinction between these
variables, is perhaps that as Leadership motivations are to an extent more self-serving than
other motivations there is an understanding that,
“…it takes money to make money.”
Environmentalist and Self-Interest motivations showed no relationship with any of the
dependent variables explored in this model.
TABLE 1. 5. LINEAR REGRESSION - IMPACT OF PCA FACTORS ON LIKELIHOOD
TO PRODUCE A GREEN PRODUCT
Principal Components (p-value)
Dependent
Variable
1
2
3
4
5
6
7
8
I would be willing
to…
produce a green
product, regardless
of sales price.
.500
.266
.008***
.067*
.092*
.011***
.118
.013***
produce a green
product if I could
charge a premium
price.
.839
.007***
.000***
.005***
.029**
.001***
.286
.335
incur more costs to
produce a green,
premium-priced
product.
.846
.058**
.011***
.575
.563
.054**
.549
.323
commit more time
and effort to
produce a green,
premium-priced
product.
.281
.007***
.002***
.708
.246
.186
.533
.323
(1) Environmentalist, (2) Naturalist, (3) Agricultural, (4) Action, (5) Green Products, (6)
Leadership, (7) Self-Interest, (8) Conservationist; Significance p ≤ 0.01***, p ≤ 0.05**, p ≤ 0.1*
These findings show a largely positive relationship between farmer’s willingness to
produce a green, premium-priced product and their VBN motivations.
SUSTAINABILITY OF HARD APPLE CIDER 43
“My wife and I hope to use our business to influence people towards having greater
respect for the environment, agriculture, product, and people so that they begin to prioritize
these [values] over profit-making.”
While not all articulated their altruistic hopes for the environment and society, there does
appear to be a strong draw towards sustainably produced goods. Despite the primarily
positive outlook on sustainable orchard management, some participants expressed
disagreement or distaste with organic farming, stating that the standards were not appropriate
for apples grown in the northeast region.
“Just because a product is labeled green or organic doesn’t necessarily mean the
propagation methods are best for the environment.”
The concern of greenwashing, or marketing items as better for the environment without being
fully upfront about the environmental impact, is not new and has been recognized by both the
producer and the consumer on many scales,
“I think organic is a scam, but I do it because it pays.”
To promote behavioral change, it is important for social and financial support to provide a
foundation to encourage best management practices,
“Like any business, farming is practiced to produce a profit and feed the population. Give
me a monetary incentive and I am a player.”
It is to the benefit of the community at large for political and educational institutions to
provide the tools in order to support farmers and encourage sustainable management
decisions.
SUSTAINABILITY OF HARD APPLE CIDER 44
“In the northeast…organic apples are not worth growing due to practicality. However, I
believe it’s possible to take some of those methods and integrate them into a conventional
system.”
3.4. HARD APPLE CIDER: MOTIVATIONS AND CHALLENGES
Of our respondents, 38.8% indicated that they currently produced hard apple cider. Of
this group, there was a range between 2-25 years of experience producing hard apple cider, at
an average of 9.7 years. There was a wide scale of volume produced annually as well,
ranging from a reported 5-10,000 barrels per annum (1 barrel = 158.99 liters = 42 gallons).
For those that do not currently produce hard apple cider, 40% expressed an interest in making
it and 40% stated that they would sell their apples for others to produce it. Of the total survey
participants, we utilized only responses from those currently producing and from those who
expressed interest in producing hard apple cider in this segment. Participants were asked to
rank their level of agreement on a 5-point Likert scale from “strongly disagree” to “strongly
agree” on reasons that influence their decision to produce (or consider producing) hard apple
cider, and their greatest concerns when it comes to producing (or consider producing) hard
apple cider (Table 1. 6).
SUSTAINABILITY OF HARD APPLE CIDER 45
TABLE 1. 6. AVERAGE RESPONSES OF MOTIVATORS AND INHIBITORS FOR
PRODUCING HARD APPLE CIDER
Current
Producers
Potential
Producers
What are the reasons that influence your decision to produce (or
consider producing) hard apple cider?
Opportunity for increased profit
4.66
4.63
Consumer demand
4.58
4.32
Opportunity to profit on bruised, otherwise unsaleable apples
3.92
3.42
My children/heirs may be more inclined to stay with the farm
3.08
2.53
Bring more customers to the farm (i.e. tours, tastings)
4.08
3.47
Bring more customers to the farm through private events (i.e.
weddings)
3.67
2.63
What are your greatest concerns when it comes to producing (or
consider producing) hard apple cider?
Laws regarding sales of alcoholic beverages
3.92
4.26
Laws regarding distribution of alcoholic beverages
4.08
4.21
Initial costs of cider-production equipment
4.17
4.00
Lack of understanding on how to produce quality hard apple cider
3.67
3.00
Lack of understanding on how to market hard apple cider
3.25
3.10
While both groups placed different levels of agreement on their reasons to produce or
consider producing hard apple cider, those reasons were ranked similarly. Opportunity for
increased profit and consumer demand were by far the most important factors for engaging in
the hard apple cider industry.
“Hard cider sold through distribution is a saturated marketplace [by commercial
brands]; on-site retail is likely the best entry and long-term play for most producers.”
Some potential producers expressed that while they did not make their own hard apple cider,
they have shown success with selling their sweet cider for hard apple cider production.
“[We produce cider] which is sold to a local winery where they make hard cider. They make
a wonderful product, and I feel more comfortable with their expertise rather than trying to
produce something myself.”
This collaborative relationship was expressed from both sides,
SUSTAINABILITY OF HARD APPLE CIDER 46
“We are a cider producer first. We source from small to mid-sized orchards in addition to
our own,”
showcasing that the hard apple cider industry is supported by multiple business frameworks.
More contrasting were the responses between current and potential producers for greatest
concerns regarding hard apple cider production. For current producers, initial cost of cider-
production equipment was of greatest concern. While cider can be made on a small scale
from relatively low-tech, affordable equipment, it can quickly escalate when venturing into
production-scale needs. Larger-scale equipment supports needs of convenience and ease of
operation, but also ensures food safety, which is a critical component of any consumable
good. For both groups, laws regarding distribution and sales of alcoholic beverages were of
high concern. Understandably, due to lack of experience, these factors were of greater
concern for potential producers. Alcohol beverage control (ABC) laws are notoriously
difficult to follow between the use of legal jargon and high level of variation between states.
These concerns are justified, and while some states have taken measures to alleviate these
hurdles, many others have not yet acknowledged hard apple cider as a product distinct from
wine or beer.
“The NY Farm Cider license greatly facilitates this kind of operation, but the regulations
around alcohol production and marketing are quite byzantine.”
While hard apple cider is thriving in the northeast, is it important to foster its continued
development from multiple perspectives. Comprehensive laws, public education, and focused
marketing efforts are necessary, particularly when many of the key players include small
orchards in remote locations. Building the hard apple cider community can be reflective of
SUSTAINABILITY OF HARD APPLE CIDER 47
the craft beer and wine industries, which have substantially greater market saturation but
have still seen growth over the years.
4. CONCLUSION
This study surveyed 64 apple orchard owners and/or managers operating in the
northeastern US. By using the VBN theoretical framework, we analyzed the key motivating
factors which influenced current management practices and likelihood of adopting
sustainable management practices. Through PCA, we reduced 27 variables to 8 principal
components which explained 76.2% variance in the data. We utilized these findings to
explore the data through multiple regression analyses. We found that the relationship behind
sustainable practices and the 8 components varied depending on the nature of the
management intervention. The Leadership component showed the largest level of influence
over current management practices, providing the argument that personal values are perhaps
the most important factor. However, the Agricultural component showed the largest level of
influence over willingness to implement alternative management practices, showing that
personal beliefs are the most important factor when it comes to willingness to change. When
asked a series of questions regarding willingness to produce green and premium-priced
products, the Agricultural component again showed influence across each question. This
finding supports our belief that the orchardists surveyed show a great deal of respect for the
environment, and consider its well-being regardless of the time, effort, and money it takes to
produce a quality product.
We also explored the key motivators and inhibitors to produce or consider producing
hard apple cider among the smaller subset who had expressed interest (n=31). We found that
among both current and potential producers, potential for increased profit and consumer
SUSTAINABILITY OF HARD APPLE CIDER 48
demand were the highest motivating factors for entering the hard apple cider production
industry. The northeastern US has the largest, fastest growing cider economy, and is the
second largest apple producing-region in the country, so it is understandable that this industry
would be attractive to current and potential producers alike. Amongst current producers,
initial costs of cider production equipment were the greatest concern, perhaps due to the large
variability in cost depending on production scale needs. Both current and potential producers
indicated a great deal of concern regarding the laws associated with alcoholic beverage
production and distribution. ABC laws have inherent challenges and can become increasingly
complex as these laws vary state-to-state. While there appears to be great appeal to produce
hard apple cider, we can see that greater political and community support is needed to help
this industry reach its full potential.
Future research could continue to build upon this study through reaching a wider
audience. While the number of apple orchard owners/managers is limited, a larger sample
would help provide greater representation and understanding of their management
motivations. This larger sample could also help to provide important information amongst
states or sub-regions of the northeastern US, which is important in understanding
management decisions due to climate and geographic variations. Further, this research could
be extended throughout the US, and focus on other key apple-growing regions like the
Pacific Northwest and Great Lakes region to understand how apple orchardists’ approach
sustainable management decision making throughout the country.
SUSTAINABILITY OF HARD APPLE CIDER 49
CHAPTER 2. VALUATION OF SUSTAINABLE ATTRIBUTES OF
HARD APPLE CIDER: A BEST-WORST CHOICE APPROACH
ABSTRACT: Hard apple cider is the smallest, but fastest growing sector within the alcoholic
beverage industry in the United States and opens a unique opportunity for agricultural
entrepreneurship amongst apple orchard owners of all sizes. To support sustainable industry
development, it is important to understand which attributes of ‘sustainability’ are most valued to
customers, and how those values translate to their willingness to pay a premium for sustainably
produced goods. This study surveyed 630 hard apple cider consumers residing in the US Mid-
Atlantic states. By using the best-worst choice, we presented a two-tiered method which
estimated a hierarchal relationship among sustainability attributes that affect a cider consumer’s
intention to purchase at different price points. ‘Local’ and ‘organic’ held the highest utility and
were both highly valued attributes, where consumers are willing to pay a $10.05 and $6.39
premium, respectively. Agricultural management practices ‘IPM’ and ‘supporting biodiversity
restoration’ had a positive impact on consumer perception and commanded a premium of $5.81
and $5.68 respectively. While eco-conscious packaging and using renewable energy did not
show substantial utility to the consumer, respondents were still willing to pay a premium for
these attributes. Social responsibility attribute levels showed negative utility; however, our
analysis found that consumers were still willing to pay a premium of $5.89 for charitable
donations and $7.49 for community volunteering. This analysis points to a key challenge in
consumer behavior research: the attitude-behavior gap. Effective communication of the specific
actions and inactions that take place in sustainable management practices is necessary to convey
the proper message to potential consumers. By bridging this gap, hard apple cider producers can
SUSTAINABILITY OF HARD APPLE CIDER 50
better position their product, convey important environmental information in the scope of
agricultural and business management, and have consumers value their products in a way that
makes the additional resources allocations to incorporate sustainability metrics prudent in terms
of enhanced product profitability.
SUSTAINABILITY OF HARD APPLE CIDER 51
1. INTRODUCTION
1.1. HARD (ALCOHOLIC) APPLE CIDER MARKET
Hard (alcoholic) apple cider is one of the fastest growing industries within the United
States’ (US) alcoholic beverage sector, with over 1.3 million barrels (approx. 42 million
gallons) produced in 2019 (Alcohol and Tax Trade Bureau, 2020). Cider sales are estimated
to have grown by 500% since 2011, with over 1000 cider producers currently at work in the
country (American Cider Association, 2020). Nationally distributed commercially made
cider brands dominate in terms of net sales, though regional/local cider sales are growing
each year (The Nielsen Company, 2018). Specifically, the US northeast has the fastest
growing cider economy in the country, with 12% sales growth from 2017 to 2018 (The
Nielsen Company, 2018). New York is the second largest apple producer in the country
(New York Apple Association, 2020), has the most cider producers in the country at 104, and
continues to expand annually (Cider Culture, 2020). Pennsylvania is the fourth largest US
apple producer (USDA Noncitrus Fruits and Nuts 2018 Summary, 2019), with 60 cider
producers (Cider Culture, 2020). While New Jersey ranks relatively low in terms of pounds
produced, the yield per acre is comparable to that of California, the fifth largest apple
producer, making New Jersey a relatively orchard-dense state (USDA Noncitrus Fruits and
Nuts 2018 Summary, 2019), with a mere five cider producers. These Mid-Atlantic states, a
subsection of the US northeast, represent an opportunity for localized and regional
distribution network systems which could capitalize on current agricultural production and
existing infrastructure amongst the most population dense region in the country; thus, New
York, Pennsylvania, and New Jersey have been identified as key states of interest for this
study.
SUSTAINABILITY OF HARD APPLE CIDER 52
Consumers’ growing interest in purchasing regional cider has provided opportunities for
private orchards and currently operating wineries and breweries. Cider can be made using
dropped, blemished, or imperfect fruits, which otherwise may be considered unsaleable. This
inherent benefit of using otherwise wasted produce in addition to producing fruits specific for
hard apple cider production adds a level of added sustainable value which is typically unseen
for other apple-based goods. While nonalcoholic cider or apple juice values roughly $9 per
bushel, hard cider is able to turn a profit of about $135 per bushel (US Apple Association,
2019). Recent changes in taxing alcoholic products have also made cider production more
appealing; cider is classified as a wine by US law, which is highly taxed due to its relatively
high alcohol by volume (ABV). As of September 2017, a new lower tax rate for cider under
7% ABV allows for a new opportunity with lower annual costs for active and potential cider
producers (Alcohol and Tax Trade Bureau, 2020). These financial incentives, along with
consumer demand, continue to support and grow the cider industry in the US. The US Mid-
Atlantic represents a region in the country with the largest market share of cider sales, ample
apple production volume and potential, and a supporting network for continued development
of the cider economy; thus, making it a key area of interest for this research.
While cider research is not new, few studies have been conducted surveying cider
consumers. Many studies have explored how populations value certain qualities of
consumable goods and alcoholic beverages, focusing specifically on environmental qualities
(Schaufele & Hamm, 2017; Mazzocchi et al, 2019; Sogari et al, 2016); however, studies
exploring environmental attributes of hard apple cider are missing. As with any growing
industry, it is important to consider the potential negative consequences associated with that
growth; as consumer demand grows, there can be an increased strain on the environment and
SUSTAINABILITY OF HARD APPLE CIDER 53
its natural resources without proper planning. The hard apple cider production system
requires agricultural inputs (i.e. pesticides, fertilizers) and production inputs (i.e. energy,
cleaning agents) which in turn have an impact on the environment. By identifying strategies
which support environmental, societal, and economic growth, we gain key insight to inform
management decisions which are truly sustainable. Incorporating sustainable management
practices can be seen as a hurdle for small business, wherein the cost of entry may seem too
high without certainty of possible future returns. To better support small businesses transition
towards sustainable management practices, it is important to understand which attributes of
sustainability are most valued by customers, and how those values translate to their
willingness to pay a premium for sustainably produced goods. In this paper, we aim to
identify sustainable qualities preferred by hard cider consumers and how those qualities are
valued in terms of likelihood to purchase. This paper reports the results of a stated preference
survey analysis of hard apple cider consumers surveyed in New Jersey, New York, and
Pennsylvania.
1.2. VALUE OF SUSTAINABLE ATTRIBUTES
Sustainability is a concept that describes the balance of social equity, environmental
quality, and economic prosperity. One of the main drivers of incorporating sustainability into
business models is consumer demand (Ehgartner, 2018). Consumers’ purchasing decisions
are not only based on how well a product satisfies their needs, but also on how a product
affects the community at large (Ehgartner, 2018). In turn, it is the responsibility of businesses
and policy-developers to assist consumers in making ethical purchasing decisions by
providing sustainably produced goods and truthful marketing of sustainable goods (Barnett,
2011). These aspects of sustainability are ideally viewed from a holistic perspective, such
SUSTAINABILITY OF HARD APPLE CIDER 54
that each pillar is addressed at every stage, albeit in different ways, in a business’s
management practices. There are various approaches to integrating sustainability, and many
businesses have begun to incorporate some of these practices in order to gain a competitive
advantage, amongst other motivations.
Consumer preferences for and valuation of various aspects of sustainability has been
explored extensively in previous literature with an intention to better understand how
consumer behaviors may be indicative of a circular economy. Within the scope of
consumable goods, namely food and beverages, aspects of sustainable production should be
explored among each step of the food production process. Sustainable practices amongst the
agricultural phase, ranging from official organic certification to more specific environmental
management practices (i.e. integrated pest management), have been identified as some of the
most valuable traits as viewed by consumers (Jorge et al., 2020; Sellers-Rubio, 2016; Tait et
al., 2019; Kneafsey et al., 2013; Maczzocchi et al., 2019; Stanieri et al., 2017). Many
consumer valuation studies focus on the environmental aspects of sustainability, and those
attributes which benefit ecological health seem to be the most well understood and accepted
by consumers (Mazzochi et al., 2019; Hall & Martins, 2020; Russo et al., 2019; Fiore et al.,
2017; Jorge et al., 2020). In more recent years, we have also seen a rise in the valuation of
social equity, where consumers expect a certain level of social responsibility action from the
companies/brands they choose to support (Amatulli et al., 2018; Kim et al., 2017; Parsa et al.,
2015; Xie et al., 2019). While there have been numerous studies in this field, there is no
‘general consensus’ on the value of these various sustainability attributes; consumer
preferences and purchasing intention varies greatly depending on the product itself and the
SUSTAINABILITY OF HARD APPLE CIDER 55
communication styles used to convey sustainability messages (Du et al., 2011; Wu, 2013;
Tait et al., 2019).
In the midst of this uncertainty between effectively communicating sustainable
management practices to consumers and determining how consumers’ value certain practices
can be challenging for business owners in determining where to best put their time and
resources. Intrinsic value and price value are separate, but inherently intertwined measures of
utility, and it is key to understand both sides of this equation when translating value to actual
market potential and consumer willingness to pay (WTP). WTP can be measured using a
number of methods, and frequently involves surveying consumers. Stated preference
experiments are one such technique for identifying preferences in absence of revealed
preference data, wherein survey participants are asked to state their preference within
hypothetical scenarios of a given product or service. This method allows the estimation of
relative importance of different aspects, the tradeoffs between said aspects, and overall
satisfaction with the product or service.
Since its development, best-worst scaling (BWS) methods have been used extensively in
literature (Finn & Louviere, 1992; Louviere & Woodworth, 1990), though the guidelines for
data analysis and interpretation are unclear as there are a number of approaches for applying
this methodology (Marley & Pihlens, 2012). Marley and Louviere (2005) summarized
multiple models through the development of the best-worst choice (BWC) approach, which
analyzes utility through the combination of two stated preference methods, best-worst scaling
(BWS) and discrete choice experiment (DCE). By applying the BWC approach, we aim to
answer key questions on sustainable management practices and how those efforts are valued
by consumers within the hard cider industry in the mid-Atlantic United States (Soto et al.,
SUSTAINABILITY OF HARD APPLE CIDER 56
2016; Marley & Louviere, 2005; Marley et al., 2008). Valuation of sustainability attributes
has been estimated in a number of studies featuring consumable goods; to the best of our
knowledge, this method has not yet been applied to hard apple cider.
2. METHOD
2.1. BEST-WORST CHOICE AND SELECTION OF ATTRIBUTES
Best-worst choice (BWC) is a two-tiered analytic approach which combines best-worst
scaling (BWS) and discrete choice experiment (DCE) methods to explore BWS estimations
and willingness to pay (WTP) through an additional choice task (Marley & Louviere, 2005;
Marley et al., 2008). Best-worst scaling (BWS) is a discrete choice method developed by
Finn and Louviere (1992) which asks a person to select the ‘best’ or ‘most preferred’ and the
‘worst’ or ‘least preferred’ item in a given choice set. BWS is commonly used to provide
more choice data, and to understand choice processes through a random utility framework
which allows one to estimate the value of a specific item or attribute within a choice set. Due
to the nature of this framework, BWS is frequently perceived as having greater
discriminatory power than other traditional measures (i.e. Likert ratings), can provide a
greater rationale behind purchasing decisions, and is less cognitively demanding for the
survey taker to generate more valid data (Louviere et al., 2015; Burton et al., 2019; Parvin et
al., 2016). Discrete choice experiment (DCE) is a quantitative method of assessing
preferences by asking survey participants to accept or reject a given scenario based on the
entire profile. By incorporating price into DCE, we are also able to gain invaluable insight by
measuring individuals’ WTP estimates for a given product based on traditional demand
theory (Soto et al., 2016).
SUSTAINABILITY OF HARD APPLE CIDER 57
In this study, we identified various sustainability attributes which may be linked to hard
apple cider as depicted in Table 2. 1. We identified these attributes as those which may occur
throughout the production process and separated them into five distinct categories for the
BWS design. While not traditionally linked with ‘sustainability’, we also included critic
score as a means for more traditional judgement of quality. For each category, we identified
three levels requiring varying extent of intervention/effort from the producer; the baseline of
which indicating the lowest level of deviation from standard practices (or business-as-usual).
The sixth attribute category, price, was a component of the DCE design.
SUSTAINABILITY OF HARD APPLE CIDER 58
TABLE 2. 1. CIDER ATTRIBUTES USED FOR THE BEST-WORST SCALING DESIGN
Attributes
Description
Levels
About the apples
Broad information
about the primary
ingredient for the
hard apple cider.
• Made from conventionally grown
apples (CON)*
• Uses locally grown apples (LOC)
• Made from 100% organic apples
(ORG)
Sustainable
agriculture
Sustainable practices
specifically
pertaining to orchard
management.
• Uses pollinator management practices
to protect bees (POL)*
• Farming practices support biodiversity
or restoration enhancement (BIO)
• Uses Integrated Pest Management to
lessen environmental consequence
(IPM)
Sustainable
production
Sustainable practices
specifically
pertaining to hard
apple cider
production, beyond
the agricultural
phase.
• Recycles by-products (i.e. uses apple
pomace for fertilizer) (REC)*
• Eco-conscious packaging and labeling
(ECO)
• Uses some energy from renewable
sources (REN)
Social Responsibility
Business practices
which contribute to
fulfilling civic duty
that benefit society as
a whole.
• Uses fair employment practices
(EMP)*
• Employees volunteer with the
community (VOL)
• Company makes charitable donations
(DON)
Critic Score
A score provided by
experts during a
tasting to provide
consumers better
information on
quality and subtle
differences.
• 85-89: Very good*
• 90-94: Outstanding
• 95-100: Classic
Price
The price of 6, 12-
fluid ounce servings
of hard apple cider.
• $6.99*
• $10.99
• $14.99
Asterisks indicate baseline variables for each attribute used for level-scale coding.
About the Apples
A key focus of many studies which aim to assess how consumers value sustainability is
the agricultural aspect of production. One of the most explored production methods is
SUSTAINABILITY OF HARD APPLE CIDER 59
organic farming. United States Department of Agriculture (USDA) defines certified organic
foods as those that have been grown and processed according to federal guidelines pertaining
to soil quality management, pest and disease management, and other aspects. Many studies
have shown organically produced consumables to be associated with positive consumer
attitudes (Jorge et al., 2020; D’Amico et al., 2016), increased intention to purchase (Shin et
al., 2017; Aitken et al., 2020), and increased willingness to pay (Sellers-Rubio, 2016; Tait et
al., 2019; Mazzocchi et al., 2019). Because ‘organic’ is a term where standards are
transparent and regulated by the US Department of Agriculture, this metric of
environmentally friendly production helps to ease the ambiguity that characterizes non-
organic modes of production.
An additional aspect of sustainability that is highly explored is local production and
consumption. Unlike organic, the term ‘local’ does not have an official definition or set of
federal standards for labelling purposes. Local food systems call for shorter supply chains,
which contribute to economic benefits for both the producer and community at large,
improved farmer-consumer relationships, and a lower environmental footprint (Kneafsey, et
al., 2013). Using ‘local’ messaging on products has also been associated with a positive
impact on willingness to pay in developed regions renowned for production of certain goods
(i.e. Napa Valley wine) and in lesser-known emerging regions (Eustice et al., 2019). This
aspect is of particular interest for hard apple cider, as it is still an emerging market in many
regions throughout the country, and there is not yet a specific area which is regarded as
superior to others. Regional level solutions, like geographical indication, have proven
successful for sustaining specialty goods with qualities related to local identity, wherein an
SUSTAINABILITY OF HARD APPLE CIDER 60
elevated market value is preserved despite small producers lacking the resources to achieve
this individually (Dogan & Gokovali, 2012).
Sustainable Agriculture
Many aspects of sustainable agriculture management fall within organic farming
practices; however, the specifics of how a farm is managed are often not communicated to
the consumer. While gaining USDA organic certification has proven effective in improving
consumer attitudes towards consumable goods, this may not be a realistic path for small
businesses. There are many means of sustainable management that can be utilized by
farmers without pursing USDA organic certification, which can be a timely and costly
process (Veldstra et al., 2014; Jouzi et al., 2017). Designating official certifications which
address the role of ambiguity in marketing sustainably produced goods has shown promise in
addressing the gap between consumers’ attitudes and their behavioral intentions (Jorge, et al.,
2020). Labelling of specific practices has also shown improvements in positive attitudes
towards sustainably produced consumables, increasing behavioral intention to purchase
(Aitken et al., 2020).
Sustainable management practices which are not uncommon in apple orchard
management which we have included as attributes for our design include management
practices that support biodiversity and use of pest or disease management practices with
lower environmental impact. Through recent press and media, pollinators and other insect
species have gain visibility in the public eye and their value is increasingly recognized (Hall
& Martins, 2020). Specifically, pollinator management to protect bee populations has gained
important traction in conservation efforts in order to stabilize agriculture and support food
SUSTAINABILITY OF HARD APPLE CIDER 61
security (Hall & Martins, 2020). The importance of biodiversity has also been well-noted in
the agricultural field and has begun to play a role in consumer preferences as well.
Mazzocchi, et al. (2019) found that the inclusion of a label certifying biodiversity
conservation on wine had a positive impact on consumers’ willingness to pay a premium of
up to 50% for both low- and medium-priced wines. This label was particularly impactful on
consumers who had previous knowledge of the concept of biodiversity, showing that
sustainability education is an important aspect of marketing (Mazzocchi et al., 2019).
Integrated pest management (IPM) is the term used sustainable, science-based decision-
making management practice which aims to reduce pest risk while minimizing negative
health and economic impacts. While IPM terminology and associated practices are well used
in the industry, consumer awareness and perception are less understood (Stranieri et al.,
2017; Anderson et al., 1996). While each of these agricultural management practices have
similar goals in limiting negative environmental impact while supporting species with
symbiotic relationships, greater understanding on consumer perspective is needed.
Sustainable Production
Beyond agricultural production methods, studies have explored further along the product
management process. “Reduce, reuse, recycle” or the three R’s have been synonymous with
environmental conservation movement, and each of these terms are widely understood from
a general standpoint. Communication and marketing which uses this terminology has
traditionally proven successful in positively impacting consumer perception, however this is
not always the case with consumable goods. Reuse of water resources and food waste help to
create a closed-loop agricultural system, though studies have showed mixed perceptions
among consumers; while in many cases this is viewed positively (Russo et al., 2019; van
SUSTAINABILITY OF HARD APPLE CIDER 62
Herpen & de Hooge, 2019), there are also instances of disgust (McClaran et al., 2020;
Morales & Fitzsimons, 2007). While this method of sustainability calls for low-level
intervention, more research is needed to understand how consumers value recycling and
reuse in food systems.
Fiore et al. (2017) found that application of and advertising the use of new technology,
such as those which reduce emissions, to reach environmental sustainability goals has proven
a successful marketing technique in positively influencing attitudes towards wine. Renewable
energy is one such technology that has gained recognition and positive acceptance with
many. Most studies, however, have focused on consumer acceptance based on electricity
received from renewable sources rather than acceptance of products generated from the use
of renewable energy. This gap in understanding is critical to explore in order to support a
transition to a clean energy economy, and residential energy use only represents a fraction of
the country’s environmental footprint in comparison to industrial energy consumption.
Among many environmental impact studies associate with consumable goods, packaging
has been widely acknowledged by producers and consumers alike as a cause of numerous
environmental problems; however, solutions for eco-friendly food packaging are lesser
known amongst consumers (Ketelsen et al., 2020; Nguyen et al., 2020). This gap in
knowledge allows for little change in consumers’ attitudes towards packaging, and therefore
intention to purchase despite their acknowledgement that packaging is a major contributor to
environmental damage. This component of the food supply chain, however, is important to
explore as it effects both the producers’ and consumers’ environmental footprint (Zeng et al.,
2020). Understanding which communication tools are successful in conveying positive
SUSTAINABILITY OF HARD APPLE CIDER 63
messages of business management attributes in terms of reaching sustainability goals is an
important consideration for businesses entering this new eco-friendly market.
Social Responsibility
Another key aspect of many businesses’ sustainability goals include social responsibility,
including equitable employment and community goodwill through volunteering and
charitable donations. Many studies exploring the effects of corporate social responsibility
(CSR) efforts have shown a positive perception effect on consumer behavior (Amatulli et al.,
2018; Kim, 2017). Studies from Kwok et al. (2016) and Parsa et al. (2015) found that
businesses which committed to socially responsible green projects in terms of participating in
and/or donating to environmental projects resonated positively with restaurant patrons with
customers willing to pay more and travel farther for the experience. Further, this study found
that customers prioritized ‘green practices’ over other restaurant attributes including the food
and other amenities such as customer service. Despite these findings, there is again a
challenge with effectively conveying information to consumers in a way that is trustworthy
and meaningful. Companies showcasing their social responsibility can be perceived as self-
serving, having a negative impact on consumers’ attitudes towards the company and green
purchasing intentions (Arli et al., 2017; Zhang et al., 2018; Dang et al., 2020). Consumer
perception surrounding these social aspects of sustainability is based heavily on not
awareness but trust in the company and its leaders (Du et al., 2011; Xie et al., 2019; Wu,
2013).
Critic Score
SUSTAINABILITY OF HARD APPLE CIDER 64
Critic score, while not necessarily an attribute of sustainability values, has been the
traditional measure of quality for many products. Most notably, the use of critic score has
been used extensively as an independent measure of quality for wine and beer consumers
(Costanigro et al., 2014; Tait et al., 2019). While there are a number of valuation methods for
wine and beer, the most commonly used among critics and consumer reports is on a 50-100
numerical scale, where a score of at least 85 is considered above average quality. Among
studies where sustainability attributes among other qualities are evaluated, critic score has
been shown to have a consistent influence over consumers’ valuation of a product and
willingness to pay (Tait et al., 2019). While under independent consumer testing, hedonic
preference and perceived quality of wines do not always correlate to critic scores (Hopfer &
Heymann, 2014), these critic scores still hold an inherent influence over purchasing
decisions.
Price
Price of the product or cost to the consumer is expected to be viewed as a negative
attribute of any product or service, regardless of the level presented. Due to this, price was
not considered among the scaling design but rather the choice design within the BWC model.
Because the hard apple cider is underexplored among academic literature, the price levels
defined in this model were informed by national market data (The Nielson Company, 2018).
Hard apple cider domestic brands are typically more expensive than domestic beer brands;
however, because of market variations we identified the baseline price of $6.99 for a 6-pack.
For the medium ($10.99) and high ($14.99) level scale values, we utilized a price increase of
approximately 1.5 times and 2 times higher than the baseline, respectively.
SUSTAINABILITY OF HARD APPLE CIDER 65
2.2. SURVEY DESIGN
We developed an online questionnaire (Appendix B) using Qualtrics XM survey software
for this study, prefaced by an explanation that its purpose was to identify how hard apple
cider consumers value various aspects of sustainable production. In order to participate in the
survey, participants were required to be of legal US drinking age (21 years or older) and to
have purchased and consumed cider at least six times in the last year. All participants were
also required to be residents of the US Mid-Atlantic states of interest: New Jersey, New
York, or Pennsylvania. To avoid response bias, the survey introduction did not provide any
details about common or best management practice related to apple agriculture, nor hard
apple cider production. The first part of the survey included sociodemographic questions:
gender, age, ethnicity, marital status, education, and household income. The second part of
the survey explored consumer behaviors, beliefs, and perceptions surrounding cider. The
third part of the survey, which is the key focus of this study, was designed to measure the
importance that respondents attached to sustainable attributes of hard apple cider using the
best-worst scaling method. The eighteen attributes, discussed in the previous section, were
clustered in six categories to best reflect the different aspects of sustainability (environment,
economy, society) throughout the cider production process (Table 2. 1). The attributes,
levels, and descriptions of key benefits pertaining to each level were given to survey
participants before the survey questions were posed.
The eighteen attribute levels were combined into fifty-four choice sets of six items each,
separated into six separate blocks such that a single respondent would only see nine choice
sets; respondents were asked to select the best and worst attribute of each set as if they were
shown on the label of a 6-pack of cider. The choice sets were generated using JMP Pro 14.2
SUSTAINABILITY OF HARD APPLE CIDER 66
software through the MaxDiff Design Platform, which follows a balanced incomplete block
design, such that each pair of items occurs equally often in the design. Price was introduced
through the follow-up question “What is the likelihood that you would pay $x.99 for this
product?” where the respondent could answer on a scale of 0-10. This was done to reduce
implicit bias that consumers attached to cost, and to close the gap between hypothetical and
true willingness to pay. The respondent was randomly assigned one of the six blocks using
the randomizing tool in Qualtrics XM, thereby increasing variation between respondents and
reducing potential bias in responses. Respondents were asked to complete two tasks for this
set of questions, 1) to choose the ‘most important’ and ‘least important’ attribute level, and 2)
to identify their likelihood to purchase the product at a given cost (Figure 2. 1). These two
tasks allow the researcher to compare the utility of all attribute levels and estimate their
willingness to pay for said attribute levels.
FIGURE 2. 1. BEST-WORST CHOICE QUESTIONS EXAMPLE
Imagine the information below is on the labeling of a hard apple cider 6-pack and has a flavor
profile that you are interested in trying. Select the “best feature” and the “worst feature” of
this product.
Best Feature
Worst
Feature
O
Uses locally grown apples
O
Ο
Pollinator management to protect bees
Ο
Ο
Eco-conscious packaging and labeling
Ο
Ο
Fair employment (equal opportunity, fair wages, etc.)
Ο
Ο
Critic Score: 90-94
Ο
On a scale from 0-10, how likely are you to purchase this product for $6.99?
Not at all likely Extremely likely
0 1 2 3 4 5 6 7 8 9 10
SUSTAINABILITY OF HARD APPLE CIDER 67
As the survey involved human subjects, it was reviewed and approved by Montclair State
University’s Institutional Review Board (IRB) (study no. FY19-20-1600) before being
administered.
2.3. SAMPLING METHOD AND SURVEY ADMINISTRATION
A pre-test survey was administered in December 2019, and was distributed to all three
states through Qualtrics, a third-party experience management company which specializes in
marketing research (Qualtrics, Provo, UT). The pre-test received sixty-three complete
responses. Based on the data and response metrics, we adjusted the survey to make the
format more visually engaging to ensure participants were carefully reading the questions
and responding thoughtfully. Due to these changes, the pre-test data was not included in the
final analysis. The final survey was administered in January 2020. Quotas were set on the
survey platform such that a minimum of two hundred responses came from each state (New
Jersey, New York, Pennsylvania), and reached a sample that allowed for a representative
distribution of the states’ populations in terms of sex, age, and ethnicity (Table 2. 2).
SUSTAINABILITY OF HARD APPLE CIDER 68
TABLE 2. 2. DEMOGRAPHIC DISTRIBUTION OF SURVEY RESPONDENTS
Surveyed population
(%)
US Census Estimates
(NJ, NY, PA total) (%)
Sex
Male
Female
Prefer not to answer
50.0
49.7
0.3
48.8
51.2
--
Age
21-24
25-34
35-44
45-54
55-64
65+
14.0
17.8
18.1
17.8
17.4
14.9
5.0
19.3
17.1
18.4
19.0
21.2
Ethnicity
White
Black or African American
Hispanic or Latino
Asian or Pacific Islander
Native American or American
Indian
Other
Prefer not to answer
75.6
10.5
6.8
4.4
1.7
0.8
0.2
69.3
13.8
15.9
7.3
0.3
6.3
--
US Census Data obtained from the 2018 American Community Survey estimates (United States
Census Bureau ACS Estimates, 2018)
2.4. DATA ANALYSIS
The data was analyzed using STATA/SE 15.1 software through two different models to
estimate each choice task by using paired estimation (BWS) and random effect logit
estimation methods (DCE) (Flynn et al, 2007; Soto et al., 2016). Paired estimation of the
BWS model uses conditional (fixed effects) logit analysis to identify the ‘most important’
and the ‘least important’ attribute level by treating each best-worst pair as a distinct choice
outcome. The possible best-worst combinations can be calculated as
𝐽𝐽(𝐽𝐽−1)=𝑜𝑜𝑜𝑜𝑜𝑜𝑜𝑜𝑜𝑜𝑜𝑜𝑜𝑜𝑜𝑜
Where 𝐽𝐽 is the number of attributes per choice set which fits likelihood models with a
dichotomous dependent variable coded as 1 if the best-worst pair was chosen and coded as 0
SUSTAINABILITY OF HARD APPLE CIDER 69
otherwise, such that the data are grouped and the likelihood is calculated relative to each
group (Soto et al., 2016; Flynn et al., 2007). The model then records observations for
individual 𝑖𝑖 that are correlated and affect the error terms ∈𝑖𝑖𝑖𝑖 and ∈𝑖𝑖𝑖𝑖 for both the best 𝑖𝑖 and
worst 𝑘𝑘 choices expressed as
𝐼𝐼𝑖𝑖𝑖𝑖 = 𝜆𝜆𝑖𝑖+∈𝑖𝑖𝑖𝑖 and 𝐼𝐼𝑖𝑖𝑖𝑖 = 𝜆𝜆𝑖𝑖+∈𝑖𝑖𝑖𝑖
Where 𝐼𝐼𝑖𝑖𝑖𝑖 and 𝐼𝐼𝑖𝑖𝑖𝑖 are all other possible best-worst combinations available in the given
scenario, and 𝜆𝜆𝑖𝑖 represents the location of value 𝑗𝑗 for individual i on an underlying scale of
importance (Soto et al., 2016).
𝑜𝑜𝜆𝜆𝑗𝑗−𝜆𝜆𝑘𝑘� � 𝑜𝑜𝜆𝜆𝑖𝑖−𝜆𝜆𝑚𝑚
𝐽𝐽
𝑚𝑚=1
𝐽𝐽
𝑙𝑙=1
�
Above multinomial logit equation can be applied to this analysis to estimate the
probability of best-worst choice, which is done with the conditional fixed-effects logistic
regression (clogit) command within the STATA/SE statistical software package (Flynn et al.,
2007). In our case, the clogit command does this through all 20 possible best-worst
combinations. The difference in importance or ‘utility’ (𝑈𝑈𝑑𝑑𝑖𝑖𝑑𝑑𝑑𝑑
𝑖𝑖) of each attribute is
represented by the BWS equation adapted from Soto et al., 2016.
𝑈𝑈𝑑𝑑𝑖𝑖𝑑𝑑𝑑𝑑
𝑖𝑖=𝛽𝛽𝐴𝐴1
𝑖𝑖+⋯+𝛽𝛽𝐴𝐴𝐴𝐴
𝑖𝑖+⋯+𝛽𝛽𝐴𝐴1𝐿𝐿1
𝑖𝑖𝐷𝐷𝐴𝐴1𝐿𝐿1
𝑖𝑖+⋯+𝛽𝛽𝐴𝐴𝐴𝐴𝐿𝐿𝐴𝐴
𝑖𝑖𝐷𝐷𝐴𝐴𝐴𝐴𝐿𝐿𝐴𝐴
𝑖𝑖+∈𝑖𝑖
Where the importance of each best-worst pair in question 𝑖𝑖 (𝑖𝑖= 1, … 𝑛𝑛) and the level
scale values, such that the attribute chosen as best (𝛽𝛽𝐴𝐴𝐴𝐴𝐿𝐿𝐴𝐴
𝑖𝑖) has an impact value (𝐷𝐷𝐴𝐴𝐴𝐴𝐿𝐿𝐴𝐴
𝑖𝑖) of 1,
the worst choice taking a value of -1, and the remaining taking a value of 0.
For the DCE task, the survey asked the respondent to answer on a scale of 1-10 the
likelihood that they would pay a given cost. The dependent variable here was coded as a 1 if
the profile considered a higher likelihood to pay (5-10) and as 0 otherwise (0-4) to indicate a
SUSTAINABILITY OF HARD APPLE CIDER 70
lower likelihood to pay. The data was analyzed using random effects logit (REL) which
assumes potentially unobserved heterogeneity in the data is a part of the error term structure.
The logit STATA/SE command fits a logit model for binary response by maximum
likelihood for each variable as well as the model’s constant. We estimated willingness to pay
using the wtp STATA/SE command (Hole, 2007) which estimates confidence for willingness
to pay measures for dichotomous data using the calculated cost coefficient and the attribute
coefficient from the REL model. This measure represents the willingness to pay in relation to
a baseline variable (Lopez-Feldman, 2013) such that it may be interpreted as an additional
premium to a given cost.
3. RESULTS AND DISCUSSION
3.1. SOCIODEMOGRAPHIC AND CONSUMER BEHAVIOR STATISTICS
A total of 630 complete responses were collected and included in all analyses. We
received a representative distribution of sex, age, and ethnicity (Table 2. 2) and an equivalent
representation of each state of interest (Table 2. 3), which is reflective of the targeted
audience goal of this survey (Table 2. 2 and Table 2. 3). The majority of respondents were
white (75.6%), which is marginally higher than 2010 US Census Bureau data for the three
states of interest (NJ: 72%, NY: 69.7%, PA: 81.8%). Survey respondents were highly
educated, with 53.2% having earned a bachelor’s degree or higher. This is significantly
higher than what is seen in Census data, wherein approximately 35.2% of the population in
these states over 25 years old have earned this level of formal education (US Census Bureau,
2010). The distribution of household income is also found to be representative of the area,
where 22.1% of respondents fell within the average income bracket $50,000-$74,999. Higher
SUSTAINABILITY OF HARD APPLE CIDER 71
household incomes ($75,000 and above) were more highly represented than those below the
average income, likely due to the larger married (possibly dual-income) population.
TABLE 2. 3. SOCIODEMOGRAPHIC CHARACTERISTICS
Variable
%
Variable
%
State of Residence
New Jersey
New York
Pennsylvania
33.2
33.4
33.4
Marital Status
Single (never married)
Married or in a domestic partnership
Divorced
Widowed
31.5
56.3
8.7
3.5
Household Income
Below $25,000
$25,000-$34,999
$35,000-$49,999
$50,000-$74,999
$75,000-$99,999
$100,000-$149,999
$150,000-$199,999
$200,000 or more
8.9
9.7
12.5
22.1
17.0
16.3
7.0
6.5
Education
Less than a high school diploma
High school diploma or equivalent
Trade/technical/vocational training
Some college
Associate degree
Bachelor’s degree
Graduate degree
Other
1.3
25.5
6.3
1.1
12.4
34.3
18.9
0.2
We also explored respondents’ consumption habits (Table 2. 4) and the normal price
range they would pay for a 6-pack of cider. Survey respondents, more often than not, are
seen as not exclusively cider drinkers, but rather enjoy beer and/or wine often more
frequently than cider. While 41.1% report drinking cider once a week or more, 53.1% drink
beer, and 52% drink wine at the same frequency. 21.3% of survey participants reported
consuming cider a few times a year, which was nearly double the amount compared to beer
and wine, and approximately equivalent to those who drank beer or wine a few times a year
or less. This finding nods to the industry finding of cider being an accessible alcoholic drink
with diverse appeal (The Nielson Company, 2018). The Nielson Company (2018), a global
market research firm, reported cider showed equal appeal to all genders, and has shown
steadily increasing appeal among usual wine and beer drinkers over the last five years. While
this points to an important opportunity which can be leveraged by cider producers, there are
SUSTAINABILITY OF HARD APPLE CIDER 72
some inherent challenges with market retention for this demographic of those with diverse
taste preferences.
TABLE 2. 4. CONSUMPTION FREQUENCY
Variable
Cider (%)
Beer (%)
Wine (%)
How frequently do you consume ….?
Never or very rarely
A few times a year
About once a month
Two to three times a month
About once a week
A few times a week
Daily or almost daily
--
21.3
14.1
23.5
16.5
14.9
9.7
14.4
12.5
8.4
11.4
14.1
26.5
12.5
7.9
13.8
10.5
15.7
17.3
23.4
11.3
Popular, commercially made cider brands can typically be found for $10 or less, above
which are generally craft or boutique ciders (The Neilson Company, 2018). When asked
“What is the average price you pay for a 6-pack of cider?” 57.15% of respondents answered
they paid a premium price of $10 or more (Figure 2. 2). This question was unrelated to any
specific hard apple cider attributes and was merely included as a general gauge of average
purchasing price.
SUSTAINABILITY OF HARD APPLE CIDER 73
FIGURE 2. 2. PERCENTAGES OF RESPONDENTS THAT ARE WILLING TO PAY
FOR A 6-PACK OF CIDER AT VARIOUS PRICE POINTS
This split between major price points (≤$10 versus ≥$10 per 6-pack) may indicate that our
sample population has a diversity in experience levels when it comes to the subtle
complexities of hard apple cider associated with traditional quality assessment.
3.2. BEST-WORST SCALING ANALYSIS
The conditional fixed-effects logistic regression (clogit) performed on the attribute
groups showed consistent results in terms of significance, expected sign, and magnitude
(Table 2. 5). The ‘critic score’ group was omitted due to collinearity with the data; because
critic score is an assessment by outside expert opinion with a known given value, this
attribute is objective while the others are subjective and based on the respondents’ opinions.
By removing this group, it also serves as a reference point for the underlying scale of
importance for other groups.
7.29%
35.56%
42.36%
10.19%
4.60%
$5-$7
$7-$10
$10-$15
$15-$20
over $20
SUSTAINABILITY OF HARD APPLE CIDER 74
TABLE 2. 5. PAIRED ESTIMATION CONDITIONAL LOGISTIC REGRESSION
ANALYSIS
Attribute Group
Coefficient
Standard Error
95% CI
About the apples
.7783**
.0275
.7243
.8322
Sustainable agriculture
.5625**
.0274
.5088
.6162
Sustainable production
.3435**
.0271
.2904
.3967
Social responsibility
.1537**
.0268
.1013
.2062
Critic score
0 (omitted)
Attribute Level
LOC
.9591**
.3868
.8333
1.0349
ORG
.7962**
.4140
.7151
.8773
BIO
.2014**
.0379
.1271
.2757
IPM
.3193**
.0409
.2392
.3995
ECO
.0426
.0375
-.0310
.1161
REN
-.0293
.0402
-.1082
.0496
VOL
-.3614**
.0397
-.4393
-.2835
DON
-.0853*
.0382
-.1602
-.0104
Number of observations
113,400
Prob > Chi-square
0.000
Log likelihood
-16355.703
Asterisks following coefficients indicate significant differences at, ** <.001 and * <.05.
LOC: made from locally grown apples, ORG: made from 100% organic apples, BIO: farming
practices support biodiversity or restoration enhancement, IPM: uses integrated pest
management to lessen environmental consequence, ECO: eco-conscious packaging and labeling,
REN: uses some energy from renewable sources, VOL: employees volunteer with the community,
DON: company makes charitable donations.
All attribute groups were found significant, where ‘about the apples’ was found to be the
most highly valued group, followed by ‘sustainable agriculture’, ‘sustainable production’,
and ‘social responsibility’. With each of these groups showing significance, we can assume
that each attribute explored plays a role in consumers’ preferences for hard apple cider. As
anticipated given previous consumer studies, sustainability metrics have an influence on
preferences for consumable goods. The baseline level for attribute groups were not included
in the analysis, such that the results would show the marginal utility in comparison to the
SUSTAINABILITY OF HARD APPLE CIDER 75
baseline level (see Table 1). Levels within the ‘about the apples’, ‘sustainable agriculture’,
and ‘social responsibility’ groups were found to be significant in respect to the baseline level.
Levels pertaining to the cider’s primary ingredient were the most highly positive and
significant factors found to influence a consumer’s utility of a product. The attribute level
‘uses locally grown apples’ was the most highly valued (0.9591), followed closely behind by
‘100% organic’ (0.7962). Organic and local characteristics have been frequently identified as
some of the most highly valued aspects of sustainability affecting purchasing decisions.
Schaulfele & Hamm (2018) found that wine consumers preferred organic products because
of their greater trust in the product, contribution to combating climate change, taste
preference, and possible health benefits, while consumers found local products preferable
because they perceived a higher quality and had greater trust in the product itself. While
‘local’ may have different interpretations, literature has shown a level of awareness and
appreciation of terroir when it comes to purchasing consumable goods, building the product’s
exclusivity and desirability (Eustice et al., 2019; Dogan & Gokovali, 2012). Janssen (2018)
found that consumers prioritized local and domestic food over other attributes including
perceived quality, price, convenience, and environmental impact. While the concept of
ethnocentrism has not been applied to cider, it has been seen as a driving factor for similar
products like wine and other high-value products (Fernandez-Ferrin et al., 2018; Maksan et
al., 2019).
Levels regarding best management practices specific to the agricultural production
behind the final product were also found as positive and significant. ‘Integrated pest
management’ was valued higher (0.3193451) than ‘support biodiversity restoration or
enhancement’ (0.201409). When compared to the marginal utility of how the apples were
SUSTAINABILITY OF HARD APPLE CIDER 76
farmed, however, these values are relatively low. It is possible that the baseline ‘pollinator
management’ is something that is more readily understood than the other levels in this
attribute group, pointing to a possible gap in consumer knowledge regarding specific
agricultural management practices. Pollinator conservation continues to be a major focus of
conservation efforts, and has gained attention in both public policy and education; however,
studies have shown that this has not necessarily translated to public knowledge of
biodiversity’s role in pollination and other ecosystem services (Nicholls et al, 2020). While
these attribute levels were expected to be positive (Mazzocchi et al., 2019), there is likely an
opportunity to make meaningful communication outreach efforts to potential customers.
Sustainable production practice attribute levels were found to be insignificant, indicating
that the baseline value of ‘recycling by-products’ is more highly valued than the other
attribute levels. While the baseline levels were chosen to be representative of the least
resource-intensive management methods from the producer perspective, it is possible that
that is misunderstood by the consumer. Again, this indicates an important gap in effective
communication between the producer and consumer, which should be addressed in order to
ensure that consumers are able to acknowledge the benefit of various, lesser understood,
sustainable management practices (Plank & Teichmann, 2018; Opitz et al., 2019)
Levels regarding social responsibility attributes were found significant and negative,
indicating that hard apple ciders which advertise their employees volunteering with the
community and/or making charitable donations is viewed as a detractor for potential
customers. Opposite to the findings in studies Kwok et al (2016) and Parsa et al (2015), this
was an unexpected result. This finding could point to the concern of negative consumer
perception towards corporate social responsibility claims, which have been perceived as
SUSTAINABILITY OF HARD APPLE CIDER 77
hypocritical or untrustworthy (Arli et al., 2017). While some sustainability claims are easily
conveyed to consumers and are well understood, like ‘local’ and ‘organic’, others may
require increased intensive efforts from company marketing and communications to ensure
the proper message is being given and that the target audience is being reached.
3.3. WILLINGNESS TO PAY ANALYSIS
For the random effects logistic (REL) regression model, the data was pooled together (1-
4=no, 5-9=yes) to create a binary dataset, where responses answered whether they were
likely to pay the given price for hard apple cider with the given set of attribute levels. This
model allows us to compute the marginal willingness to pay values for specific attributes. For
this regression, we included ‘critic score’ levels as the objective score may play a role in the
subjective value of a product. We again removed the baseline values for each attribute group
to represent a point of comparison for value within the group levels. The results in table 6
show that all given attributes were positively valued and significant to their willingness to
pay. The ‘cost’ and ‘constant’ variables are those which are generated through the REL
regression model, and are used to calculate the WTP value for each attribute variable
included in the model. Each of the WTP values shown in Table 2. 6 indicates the
respondents’ willingness to pay a premium to go from the baseline values to the alternative
attribute levels within each attribute group.
SUSTAINABILITY OF HARD APPLE CIDER 78
TABLE 2. 6. WILLINGNESS TO PAY REL MODEL
Attribute
Coefficient
Standard Error
95% CI
|WTP|
About the apples
LOC
ORG
1.1269**
.7170**
.0961
.0967
.9385
.5274
1.3153
.9066
$10.05
$6.39
Sustainable agriculture
BIO
IPM
.6365**
.6517**
.0987
.0978
.4431
.4601
.8298
.8433
$5.68
$5.81
Sustainable production
ECO
REN
.7951**
.5199**
.0941
.0945
.6107
.3347
.9796
.7052
$7.09
$4.64
Social responsibility
VOL
DON
.8397**
.6604**
.0913
.0901
.6484
.4839
1.0310
.8369
$7.49
$5.89
Critic score
90-94
95-100
.9775**
1.0651**
.1044
.1044
.7986
.8605
1.1565
1.2697
$8.72
$9.50
Cost
.1121
.0083
.0959
.1284
Constant
-1.7813
.0394
-1.8586
-1.7041
Number of
observations
11,340
Prob > Chi-square
0.0000
Log likelihood
-4421.656
LOC: made from locally grown apples, ORG: made from 100% organic apples, BIO: farming
practices support biodiversity or restoration enhancement, IPM: uses integrated pest
management to lessen environmental consequence, ECO: eco-conscious packaging and labeling,
REN: uses some energy from renewable sources, VOL: employees volunteer with the community,
DON: company makes charitable donations.
The most highly valued attribute level was for hard apple cider which uses locally grown
apples, where consumers were willing to pay an additional $10.05 per 6-pack as compared to
that which uses conventionally grown apples of unspecified origin. Cider using organic
apples was also valued highly, albeit less so than locally grown, at an additional $6.39. These
findings were consistent with those in the best-worst scaling analysis and with previous
literature, where studies have shown that the connection between attitudes towards organic
and local food products is consistent with purchasing behavior and a willingness to pay a
SUSTAINABILITY OF HARD APPLE CIDER 79
premium for these features (Janseen, 2017; Schaufele & Hamm, 2018). These findings are
also supported through the increasing tendency to reimagine food and its growing
embeddedness in identity; as environmental issues become more salient, food choices have
increasingly been viewed in a holistic context (Yin et al., 2020; Aleksandrowicz et al., 2016).
Critic score was the second most highly valued attribute group, playing a substantial role
in consumers’ willingness to pay a premium, with an additional $9.50 for ’95-100: Classic’
and $8.72 for ’90-94: Outstanding’ reviews. While this group is not considered as an aspect
of sustainability, these findings show that consumers may be more familiar with traditional
scaling and trusting of expert opinions, valuing the perceived quality of a hard apple cider
more than sustainability merit characteristics which may be included in cider production.
Tait, et al. (2019) found similar results, where critic score is highly valued in terms of
willingness to pay a premium as compared to other label features. Our results show that
while the highest score is most highly valued, it only provides an additional $0.78 premium.
A study on wine quality judgement by Hopfer and Heymann (2014) found that rating and
perception of quality often varied between wine experts and consumers, though the
evaluations of wines was more consistent among expert critics. This study links this finding
not to the necessity of wine expert critics, but as the value of having the ability to define and
describe the characteristics and qualities of a product they enjoy. The 100-point rating scale
can be useful as a quick reference for purchasers to identify quality; however, this finding
shows that reaching the elite standard of ‘classic’ should not necessarily be prioritized by
cider makers when it comes to charging a premium for their product. As supported by our
findings and previous literature, critic score provides some value in obtaining new customers
but does not necessarily play a strong role in customer retention or product loyalty.
SUSTAINABILITY OF HARD APPLE CIDER 80
Agricultural management practices were also found valued positively, with ‘integrated
pest management’ valued at a premium of $5.81 compared to more traditional pollinator
management practices. As anticipated based on the BWS results, using practices which
‘support biodiversity restoration’ had a lesser impact on willingness to pay, with an added
value of $5.68. These findings could mean a possible gap in the understanding of agricultural
management practices and their impact on the environment. While IPM allows for a
decreased environmental impact, biodiversity restoration practices can actually have a
positive impact on the agricultural ecosystem. Each of these aspects may be integrated in
organic farming; however, more consumer education may be necessary to ensure premium
profit in order to make these time and resource intensive management practices worthwhile
for the farmer. Nicholls, et al. (2020), found that while there was public concern for
pollinator conservation and biodiversity, this did not translate to public understanding of
species’ roles in ecosystem services. In order to translate this concern into effective support
of agricultural management practices, public education and related policy development is
necessary (Lima & Bastos, 2019).
Sustainable management production practices were found positively valued, where use of
‘eco-conscious packaging’ was valued at a premium of $7.09 and ‘uses power from some
renewable energy sources’ at $4.64 as compared to the baseline level ‘recycles by-products’.
This finding is unexpected, as these attribute levels were both insignificant, and were lowly
and negatively valued, respectively. This finding could also be explained as a limitation in
the model – we considered recycling by-products as the baseline value, as it requires very
low-level intervention/effort from a management perspective. However, recycling and reuse
is generally better understood among consumers; this finding could point to a gap in
SUSTAINABILITY OF HARD APPLE CIDER 81
information pertaining to sustainable production practices like those involving energy use
and packaging. Another unexpected result was that levels within the ‘social responsibility’
group were also highly valued, where consumers were willing to pay an additional $7.49 to
support a product where company employees volunteer with the community, and $5.89 for a
company which donates to charity as compared to one which only practices fair employment.
Similarly, this result could be due to our baseline value of ‘fair employment’ – while this is
commonly considered a standard practice as compared to volunteering/donations, it is
possible that this aspect of social responsibility is more highly valued than efforts which may
require the company to go beyond the bare minimum expectation of social equity.
These unexpected findings may indicate that while respondents may have a low utility for
these attributes, they do still value them in terms of their purchasing decisions. For example,
attributes like packaging and charitable donations can be framed as tangible whereas the
benefits of biodiversity and renewable energy are relatively intangible, particularly when
framed in terms of monetary valuation. These results point to a key challenge in consumer
behavior research, namely the attitude-behavior gap between how consumers feel about a
product (or its attributes) and how they behave in terms of intended and actual purchases.
This could also point to a notable challenge in sustainability marketing, which is the
perception of greenwashing marketing (Arli et al., 2017; Zhang et al., 2018; Dang et al.,
2020). Brands making unsubstantiated claims for a product’s environmental attributes have
caused mistrust and can play a large role in widening the gap between the producer-consumer
relationship. Research has shown that substantiating claims, such as a certification label
granted by a trusted external organization (i.e. USDA’s organic), improves this relationship
and helps to close the gap between consumers attitudes towards the environment and
SUSTAINABILITY OF HARD APPLE CIDER 82
behaviors in purchasing environmentally friendly products (Dang et al., 2020; Zhang et al.,
2018).
4. CONCLUSION
This study surveyed 630 hard apple cider consumers residing in New Jersey, New York,
and Pennsylvania. By using the BWC method which combines BWS and DCE models, we
presented a two-tiered method which estimated a hierarchal relationship among sustainability
attributes that affect a cider consumer’s intention to purchase at different price points.
‘Local’ had the highest utility and was most highly valued at a $10.05 premium when
compared to conventionally grown. ‘Organic’ was also very highly perceived but had a lesser
value at a $6.39 premium. As anticipated, critic score was highly valued in a linear manner,
where a higher critic score led to a higher willingness to pay. Agricultural management
practices IPM and supporting biodiversity restoration had a positive impact on consumer
perception and were valued at a premium of $5.81 and $5.68 respectively. The sustainable
production practice attribute levels showed confounding results, where they did not show
substantial utility to the consumer; however, they were valued at a premium as compared to
the baseline of recycling by-products. Social responsibility also presented confounding
results as the attribute levels showed negative utility, but the WTP model showed that
consumers were still willing to pay a premium of $5.89 for charitable donations and $7.49
for community volunteering.
The somewhat confounding results found when comparing the BWS and DCE model
results points to a key challenge in consumer behavior research: the attitude-behavior
divergence between how consumers feel about a product (or its attributes) and how they
behave in terms of intended and actual purchases. Based on these unexpected findings in this
SUSTAINABILITY OF HARD APPLE CIDER 83
research, and similar challenges discussed through previous literature exploring consumer
valuation of sustainability attributes, more exploratory behavioral research is needed in this
field. Effective communication of the specific actions and inactions that take place in
sustainable management practices is necessary in order to convey the proper message to
potential consumers. By bridging this gap, hard apple cider producers can better represent
their product, convey important environmental information in the scope of agricultural and
business management, and have consumers value their products in a way that make the
additional resources necessary to incorporate sustainability metrics worthwhile in terms of
product profitability.
The Mid-Atlantic states of the US northeast represent an ideal marketplace for the
growing hard apple cider industry, based on its current apple production, existing road and
network infrastructure, and population density in addition to the currently booming cider
economy. Inconsistencies and barriers related to state ABC (Alcohol Beverage Control) laws,
however, do lead to some interstate regional development challenges. For instance, hard
apple cider has only recently been recognized as a product distinct from wine or beer for
taxation and regulation purposes in many states despite its vast differences in terms of
production process and percent ABV. While regulating policy is moving in the right direction
from a logistics standpoint, there is still considerable work needed to assist continued
industry growth. Policy incentives regarding sustainable agricultural and production
management practices also could help to improve sustainability metrics among hard apple
cider. Some incentives, like those surrounding USDA organic certification, are frequently
considered inaccessible to small business due to high participation costs. Through the
creation of government incentives directed specifically for private orchards, rather than
SUSTAINABILITY OF HARD APPLE CIDER 84
commercial ones, sustainable management practices could see greater support and access to
resources which are otherwise out of reach. This research shows that consumers are willing
to pay a premium for hard apple cider with sustainability attributes, and the development of
policy which supports farmers’ incorporating sustainable production practice would help to
improve the supply chain and encourage sustainable growth.
Future research could build upon this research by utilizing other survey methods which
may more accurately represent willingness to pay and intention to purchase, such as revealed
preference methods like analyzing market data and applying auction experiments in various
settings. Ethnographic research could also be explored to develop a more detailed
understanding of behavior and choices, which could help in explaining these seeming
paradoxes that our research has uncovered. Similar consumer behavioral research should also
continue to explore how sustainability attributes impact competitive sales, like wine, beer,
and spirits, to determine how sustainably produced products impact overall sales and
consumer expectations for alcoholic beverage features. Further, research could continue to
seek to bridge the producer-consumer gap through gathering survey and interview data from
hard apple cider producers to gain perspective on willingness to accept. Such research could
provide useful information for alcoholic beverage industry marketing analytics, and help
guide policy development aimed at promoting sustainable business growth and development.
By pursuing continued research within this field, we hope to gain insight on the hard apple
cider industry and inform related sustainable agricultural development endeavors.
SUSTAINABILITY OF HARD APPLE CIDER 85
CHAPTER 3. ENVIRONMENTAL AND ECONOMIC ASSESSMENT
OF HARD APPLE CIDER USING AN INTEGRATED LCA-LCC
APPROACH
ABSTRACT: Food production systems rely heavily on resources and energy inputs, and are
associated with environmental impacts such as emissions to air, water, and soil. While best
management practices are often put in place to ensure land productivity and production
efficiency, there are still many unknowns when it comes to sustainable farm and processing
management. This study uses an integrated Life Cycle Assessment (LCA) and Life Cycle Cost
(LCC) model approach to address these challenges utilizing apple orchards in the northeastern
US as case for sustainable management through the hard apple cider production system. We
explored organic farming, hard apple cider production, and both on-site and off-site packaging
and distribution scenarios to better inform orchardists’ approach towards sustainable
management decision-making. We found that packaging and distribution held the largest
environmental impact, and that 100% on-site distribution had the lowest carbon footprint at
0.912kg CO2 per serving of hard apple cider. Further, this scenario was found to have the lowest
cost at just $1.52-$0.79 per serving (depending on the discount rate applied), based on capital,
operational, and environmental (CO2 and NOx emissions) costs. Comparatively, 100% off-site
distribution had an impact of 1.296kg CO2 at a cost of $1.86-$0.95 per serving; and 50/50 on-
site/off-site distribution had an impact of 1.205kg CO2 at a cost of $1.71-$0.88 per serving.
While at a per serving scale these differences may appear marginal, this study provides valuable
findings for current and potential hard apple cider producers to help better inform management
SUSTAINABILITY OF HARD APPLE CIDER 86
decisions, supporting the longevity of an environmentally friendly and economically viable
business model.
1. INTRODUCTION
1.1. SUSTAINABLE FOOD PRODUCTION FOR CLIMATE CHANGE MITIGATION
Food systems rely heavily on resource and energy inputs and are associated with
environmental impacts such as emissions to air, land, and water that can affect environmental
quality and productivity. In 2018, agriculture was responsible for an estimated 661 million
metric tons of CO2 equivalent, representing 9.9% of total United States (US) greenhouse gas
emissions (US Environmental Protection Agency, 2018). In the face of evolving challenges
in food production, agricultural systems have looked towards sustainable solutions to meet
the needs of the consumer while decreasing environmental consequences where possible
(Oosterveer & Sonnenfeld, 2011; McCullough, 2008). Thus, agricultural sustainability is a
fundamental requirement for environmental conservation, food production, and food security.
In order to achieve agricultural sustainability, it is essential that policies are put in place that
support sustainable practices and ensure that agricultural institutions are provided access to
necessary knowledge and technology. These advances are crucial to avoid eroding
biodiversity and environmental quality while preparing for the inevitable challenges of
climate change. In an increasingly globalized food system, sustainable agricultural systems
face even more challenges in being financially competitive in even local markets. Policies
that support the development of localized food systems can support consumer valuation on
the relationship between themselves, the producer, and the product (Selfa & Qazi, 2005;
Heron & Roche, 2018; Papaoikonomou & Ginieis, 2017). For most agricultural producers, it
would be more realistic from an economic standpoint to not be fully localized, but rather
SUSTAINABILITY OF HARD APPLE CIDER 87
distribute in local networks and distribute through larger supply-chains beyond regional
networks (Heron & Roche, 2018). Even when distributing outside of the local network,
agricultural sustainability can be achieved when internal and external policies align to
support the needs of the industry as well as the demands of the consumer.
1.2. A CASE FOR HARD APPLE CIDER
Apple production encompasses a complete system, including agricultural cultivation and
production as well as post-harvest management such as food processing and distribution. The
US is the second largest apple producer in the world, with approximately 85% of production
consumed domestically (US Department of Agriculture, 2016). Apples, like many tree crops,
are highly dependent on pesticides and fertilizers, making orchard agricultural systems
subject to multiple challenges in achieving sustainable production practices. Orchard
management often also requires a great deal of energy and water resources in order to ensure
the orchard’s health and productivity, as well as to prepare fruits for sale. USDA organic
certification is just one measure of sustainable production; however, organically produced
apples only account for a small portion of the country’s annual production. While the
northeast produces approximately 20% of US grown apples (with the majority grown in New
York state), only 0.45% of that production comes from certified or exempt organic farms (US
Department of Agriculture, 2014; US Department of Agriculture, 2020). Another concern
with sustainable production is food waste. The National Resources Defense Council (2017)
estimated that 16% of food waste comes from farms at the very beginning of the food supply
chain. While reducing the volume of surplus food generated may be the most apparent
method of waste reduction, it is not necessarily a practical means for agribusinesses.
SUSTAINABILITY OF HARD APPLE CIDER 88
Recovering this food loss by introducing additional food processing methods may be
considerably more feasible for businesses of varying sizes.
While previous studies have attempted to measure the environmental impact of apples
(Zhu et al., 2018; Goosens et al., 2017; Keyes et al., 2015), the evaluation of apple
production has not yet been extended to hard (alcoholic) apple cider. The increasing
popularity of high-value artisan products can be seen in the more popular craft brewing
industry, which in a way has revealed a path for hard apple cideries to enter the craft
beverage market. Similarly, supporting new agricultural ventures is the food system
localization movement, which can help to support specialization of high value grown and
crafted goods. Localization of a food system also can help to frame sustainable agriculture
and food by encouraging producers to incorporate practices that avoid environmental
degradation, support agrobiodiversity, empower employees and local community networks,
and support economic growth throughout the local region (Hinrichs, 2003). While this trend
opens an exciting opportunity to reinvigorate small orchards and improve rural agricultural
economies, this growth could also lead to the industry growing beyond its means, creating a
strain on the environment. Sustainable planning and development can be approached through
evaluation techniques including Life Cycle Assessment (LCA) and Life Cycle Cost Analysis
(LCCA) which are useful tools in providing a holistic evaluation of a production system.
1.3. INTEGRATING LIFE CYCLE ASSESSMENT AND LIFE CYCLE COST MODELS
LCA is a cradle-to-grave assessment approach that is used to estimate the cumulative
environmental impact of a system or process. This comprehensive approach considers inputs
such as raw materials, energy and water requirements, and land use change as well as outputs
such as emissions and waste to better assess the ecological impact of a system throughout the
SUSTAINABILITY OF HARD APPLE CIDER 89
life of a system operation. LCA can be used as a decision-making tool that can identify
environmental hotspots of a system and the key drivers of said hotspots to inform where
changes might be made to dampen environmental impact. LCCA is a useful tool which can
be used to provide a holistic evaluation of costs ranging from capital investment, through
operational use, and end-of-life. While many studies have shown success in calculating the
environmental impact of apple production (Zhu et al., 2018; Goosens et al., 2017; Keyes et
al., 2015), none have been representative of organic orchards in the Northeastern US.
Further, while environmental impact assessments of processes like vinification (Meneses et
al., 2016; Iannone et al., 2016), brewing (Cimini & Moresi, 2016; Koroneos et al., 2005), and
beverage packaging (Cimini & Moresi, 2016; Cimini & Moresi, 2018; Iannone et al., 2016)
have been performed, none to our knowledge have explored these aspects in the scope of
hard apple cider production.
In this investigation, we utilize an integrated Life Cycle Assessment and Life Cycle Cost
(LCA-LCC) model (Norris, 2001; Bi et al., 2016) which was developed to provide a
comprehensive environmental and economic assessment of organic apple production in the
Northeastern US, and investigate hard apple cider production and distribution as a means for
low-impact added value for organic orchards. In our integrated LCA-LCC approach, we
constrain our input parameters to underscore the growing conditions and present market in
the northeast, and utilize data informed from local orchards, previous studies, and LCA
datasets to be representative of the specific conditions in a locally made and distributed hard
apple cider production system. By utilizing the findings from the LCA model to inform the
LCC model, we are able to incorporate the costs of externalities informed through
environmental emissions data. In doing so, we can interpret our LCA-LCC findings to help
SUSTAINABILITY OF HARD APPLE CIDER 90
guide future policy development for strategies related to supporting organic farming and
agribusiness.
2. METHOD
An integrated LCA-LCC model was developed to provide a comprehensive assessment
of a hard apple cider production system, and to compare distribution scenarios to evaluate
sustainable management practices (Figure 3. 1). The LCA and LCC models are described in
the sections below.
FIGURE 3. 1. INTEGRATED LIFE CYCLE ASSESSMENT AND LIFE CYCLE COST
(LCA-LCC) MODEL OF THE HARD APPLE CIDER PRODUCTION SYSTEM
SUSTAINABILITY OF HARD APPLE CIDER 91
2.1. LIFE CYCLE ASSESSMENT MODEL
We performed the LCA through SimaPro Version 9.1 software using the ReCiPe 2016
method under the hierarchist perspective, which is considered the consensus model most
commonly used in scientific research with calculated emissions based on a global perspective
of a 100-year time horizon (National Institute for Public Health and the Environment, 2016;
Goedkoop et al., 2009). The ReCipE midpoint impact categories are suitable for detecting
environmental impacts early in the cause-effect chain, which represents a large number of
impact categories, including climate change, ozone depletion, human toxicity, ecotoxicity,
land and water stress, and resource depletion, among others (Table 3. 1). The endpoint
impact categories are better suited to evaluate a more holistic view of the end of the cause-
effect chain and are based on damage, where impacts on human health, environmental
quality, and resource availability are directly derived from the midpoint characterization
factors (Goedkoop et al., 2009).
SUSTAINABILITY OF HARD APPLE CIDER 92
TABLE 3. 1. RECIPE MIDPOINT AND ENDPOINT IMPACT CATEGORIES
Midpoint Impact Category
Abbreviation
Global warming
GW
Stratospheric ozone depletion
OD
Ionizing radiation
IR
Ozone formation, Human health
OFH
Fine particulate matter formation
PM
Ozone formation, terrestrial ecosystems
OFT
Terrestrial acidification
TA
Freshwater eutrophication
FT
Marine eutrophication
MU
Terrestrial ecotoxicity
TE
Freshwater ecotoxicity
FE
Marine ecotoxicity
ME
Human carcinogenic toxicity
HC
Human non-carcinogenic toxicity
HN
Land use
LU
Mineral resource scarcity
MS
Fossil resource scarcity
FS
Water consumption
WC
Endpoint Impact Category
Human health
HH
Ecosystem health
EH
Resource scarcity
RS
Within the ReCiPe framework, the LCA model was conducted to be representative of a
hard apple cider production system operating and distributing within the US northeast. The
selected functional unit, to which all values are related, was a 12-fluid ounce serving of hard
apple cider. Some key assumptions of our model include consistent production volume of
apples between the two different agricultural systems, conventional and organic. Certain
pieces of equipment were not included in the production and packaging stages, such as
fermentation chambers, refrigeration equipment, and filling equipment. While the production
and disposal of these equipment does have known high environmental impacts such as
energy costs associated with raw material extraction and refining, similar studies have
excluded ancillary equipment in their inventories and rather included only their impact while
SUSTAINABILITY OF HARD APPLE CIDER 93
in use (Meneses et al., 2016; Iannone et al., 2016; Rodriguez-Gonzalez et al., 2015). To
address this, we only considered the water and electricity consumption associated with
completing these processes (crushing, pressing, filling, etc.) for our analysis. Transportation
estimations were also made when considering the distribution of the final product.
Relationships between producers and distributors vary greatly depending on state alcohol
sale and distribution laws, as well as consumer supply and demand. Thus, distance and
volume estimations were made based on a 100-mile radius (approximately 160-km) from
where the hard apple cider produced, a distance which in much literature is considered ‘local’
for consumable goods (Smith & MacKinnon, 2007). Activities, such as refrigeration before
customer sales or consumption, were also not taken into account; while hard apple cider is
most commonly consumed cold, it is challenging to estimate electricity use without extensive
consumer behavior studies.
2.2. LIFE CYCLE INVENTORY
The life cycle inventory consists of the collection, interpretation, and preparation of data
necessary for the environmental assessment within the project’s system boundaries. The
EcoInvent (version 3) database was utilized as the principal source of background data;
however, the majority of the processes and material information were adapted so that they
were representative of the observed system. Agricultural phase data was adapted from
primary data obtained from the Rodale Institute, an organic agricultural research facility in
Pennsylvania, which shared information on their apple orchard management practices. Where
specific primary data could not be obtained, data from previous literature were used to
complete the inventory (Cimini & Moresi, 2016; Meneses et al., 2016; Iannone et al., 2016;
Rodriguez-Gonzalez et al., 2015). For each phase within the system boundary, input data (i.e.
SUSTAINABILITY OF HARD APPLE CIDER 94
materials, natural resources, energy requirements) and output data (i.e. emissions) were
included. All data was adapted to be representative of our functional unit, 12 fluid ounces, or
a single serving, of hard apple cider.
The agricultural phase begins with establishing the orchard, which includes the tree
nursery producing fruit seedlings, soil cultivation, planting trees, installation of a trellis
system, and sowing grass seed. We assumed normal precipitation levels (254 m3/ha) in the
Northeast (National Climate Report, 2019), which is considered adequate rainfall for most
apple trees, and therefore did not include a drip irrigation system in our model. While
irrigation is often considered common practice for many agricultural systems, this is not
necessarily the case for plots of all sizes nor for organic farming systems. When considering
conservation agricultural practices, irrigation systems should match the scope of the farm,
and manual irrigation methods are not unheard of in small orchards like that at the Rodale
Institute, which informed our data inventory. After three years with continued soil
cultivation, the apple trees are assumed mature and fruiting, which is when the orchard
moves to a more productive phase. The productive phase includes soil cultivation, compost
application, pesticide and fungicide application, mowing, harvesting, transporting the harvest
to the hard apple cider production facility, and all associated machine use. Carbon dioxide
uptake by biomass was estimated at 49 tons/hectare (World Food LCA Database, 2016).
Annual compost application was estimated at 12 tons/hectare (Rodale Institute, 2019). One of
the largest challenges with managing orchards using organic practices is dealing with pests.
Pest management (insecticide and fungicide applications) was estimated as the following:
dormant oil at 18.7 liters/hectare annually, Procidic at 0.44 liters/hectare, Sulfur at 6.7
kg/hectare 10 times annually, Surround at 56 kg/hectare 5 times annually, Entrust at 0.73
SUSTAINABILITY OF HARD APPLE CIDER 95
liters/hectare DiPel at 2.2 kg/hectare and Madex at 0.15 liters/hectare each 5 times annually
(Rodale Institute, 2019). We assumed 100% emissions to soil for all pesticide materials.
Water needs for applying insecticide and fungicide were estimated using the suggested
dilution method for each product above, and the associated emissions were calculated using
the World Food LCA Database guidelines. Diesel needs were estimated based on tractor and
trailer transport requirements for applying pesticides, bimonthly mowing in the summer
months (June-September), bimonthly manual fruit thinning in June, annual manual pruning
done during the winter months (December-February), and harvesting. The average annual
production was assumed to be 40.8 tons/hectare based on the EcoInvent (v3) US apple
production dataset and was deemed appropriate for the region of interest based on the Rodale
Institute’s reported annual yield.
The hard apple cider production phase begins with washing the apples, where water
needs were estimated at 200 gallons/ton (Water and Wastewater Use in the Food Processing
Industry, 2020). Next, the apples are crushed and pressed, where we estimated electricity
needs based on a vinification LCA study by Iannone et al., (2016). This process produces
apple pomace, which is the pulpy residue from crushed fruit which contains skins, seeds,
stems, and other fibrous material. Pomace is returned to the system and can be used as a
component to create compost, which in turn fertilizes the orchard. An estimated 0.638 kg of
apples are required to produce 12 fluid ounces of cider and 0.16 kg of pomace. The
remaining cider then goes through an UV pasteurization process, for which we estimated
electricity requirements of 0.22 Joules/gram of juice (Rodriguez-Gonzalez et al., 2015). The
pasteurized cider then moves to a collection container, where yeast is added for temperature-
controlled fermentation (Meneses et al., 2016; Iannone et al., 2016). Cleaning and sanitizing
SUSTAINABILITY OF HARD APPLE CIDER 96
are crucial components of safe consumable goods production, and thus we also approximated
quantities for conventional food-safe cleaning and sanitizing agents and the water required
for washing equipment (Meneses et al., 2016). After two to four weeks, the cider has
fermented, and can move to the packaging phase.
The hard apple cider is packaged in aluminum cans with a volume of 12 fluid ounces
(0.35 liters) for distribution, and steel kegs with a volume of 30 liters for on-site consumption
(which contains approximately 84 12 fluid ounce servings). Data for this phase was primarily
informed from a study by Cimini and Moresi (2016), though calculations were made to be
representative of our functional unit and system requirements. Canned packaging considered
the primary packaging requirements, including secondary aluminum for the can, shape casted
aluminum for the tab, label paper, ink, ink diluent, and acrylic binder. Packaging needs for
distribution were also considered, which included a cardboard 6-pack holder and cardboard
case (holds four 6-packs) and the associated ink and adhesive needs for labeling both pieces.
Kegged packaging consisted only of primary packaging, as they were not distributed outside
of the facility, which included stainless steel, ink, ink diluent, and the plastic ball for the keg
coupler. Electricity requirements for filling both primary packaging types was estimated at
0.00108 kWh per functional unit. Recycling is included in both datasets for the aluminum
can and the steel keg. While the aluminum cans are single use, they are fully recyclable.
Similarly, the steel keg can be reused indefinitely when cleaned and handled with care, has a
life expectancy of over 30 years, and is also 100% recyclable.
The baseline scenario distribution phase consists of both on and off-site hard apple cider
sales. On-site sales consist of pouring the hard apple cider from the keg into a glass, and
considers the water and detergents required to clean the serving glass. On-site distribution
SUSTAINABILITY OF HARD APPLE CIDER 97
also considers the water and detergents required to clean the keg for reuse, which were
estimated based on the data obtained which informed the production phase (Meneses et al.,
2016). We assume cellar keg storage remains at a palpable serving temperature, and therefore
have not included refrigeration or electricity in this model. Not included in this scenario are
the other amenities that would typically be associated with a tasting room, and focuses solely
on the requirements of the product. Off-site distribution consists of transporting the packaged
cans using a lightweight commercial vehicle (EcoInvent, v3) driving a distance of 100-miles
(160-km) (Smith & MacKinnon, 2007). Based on an average 2-ton cargo load capability, we
estimated the maximum carrying capacity of 200 cases of hard apple cider (4800 total units)
per delivery. Not included in this scenario are the refrigeration requirements and other
secondary expenditures associated with the distribution center sometimes used at the point of
sale.
2.3. LIFE CYCLE COST MODEL
The LCC model accounts for a lifetime of 30 years, including capital expenditure, fixed
costs, and operating costs for each phase of the life cycle. Results from the LCA model were
used as input parameters for the LCC model to calculate the social cost of emissions data.
The summary of cost inputs can be viewed in Table 3. 2. To account for present value, we
explored discount rates of 0%, 3%, and 5% using the formula 𝑃𝑃𝑃𝑃 =𝐹𝐹𝑃𝑃 (1 + 𝑟𝑟)𝐴𝐴
⁄ where PV
represents present value, FV represents future value, r represents the discount rate, and n
represents the amount of time in years.
SUSTAINABILITY OF HARD APPLE CIDER 98
TABLE 3. 2. SUMMARY OF LIFE CYCLE COST INPUTS
Capital Costs
Value
Reference
Land acquisition
$5,690/acre
US Department of
Agriculture, 2019
Agricultural machinery
$35,000
Galinato et al., 2014
Trellis system
$2,262.87/acre
Galinato et al., 2014
Tree seedlings
$6.25/tree
Galinato et al., 2014
Pole barn + outfitting
$40,000
Galinato et al., 2014
Cider processing equipment
$94,000
OESCO, Inc., 2020
On-site packaging equipment
$6,540
Cydea, Inc., 2020
Off-site packaging equipment
$85,000
Cydea, Inc., 2020
On-site distribution supplies
$16,250
Cydea, Inc., 2020
Off-site distribution
equipment
$40,000
Commercial Truck Trader,
2020
Fixed costs
Land and property taxes
$90/acre/year
Galinato et al., 2014
Farm insurance
$50/acre/year
Galinato et al., 2014
LLC registration fees
$125 fee + $50/year
Cider production/licenses and
permits
$2,450/year
US Department of the
Treasury, 2019
Well water inspection
$500/5 years
US Department of
Environmental Protection,
2019
Operating costs
Orchard establishment (soil
preparation, compost,
pesticides, pruning, fuel)
$16,260/year years 1-3
Rodale Institute; Galinato et
al., 2014
Orchard management
(compost, pesticides, pruning,
fuel)
$23,716/year years 4-30
Rodale Institute; Galinato et
al., 2014
Electricity
$0.13/kwh
US Energy Information
Administration, 2020
Off-site packaging supplies
$144,583/year
Cydea, Inc., 2020
Fuel (distribution)
$2.38/gallon
US Energy Information
Administration, 2020
Hourly employee labor
$15.09/hr
US Department of
Agriculture, 2020
Manager salary
$85,570/yr
US Bureau of Labor
Statistics, 2019
Emissions costs
Carbon dioxide (CO
2
)
$42/metric ton
US Environmental Protection
Agency, 2016
Nitrous oxides (NO
x
)
$15,000/metric ton
US Environmental Protection
Agency, 2016
SUSTAINABILITY OF HARD APPLE CIDER 99
2.4. LCA-LCC SCENARIO ANALYSIS
The integrated LCA-LCC model explores five distribution scenarios. The baseline
scenario (S0) represents 50% on-site 50% off-site, scenario 1 (S1) represents 100% on-site
sales, scenario 2 (S2) represents 75% on-site 25% off-site, scenario 3 (S3) represents 25%
on-site 75% off-site, and scenario 4 (S4) represents 100% off-site. All on- and off-site
distribution are calculated based on the parameters described in the previous section. Each of
these scenarios were analyzed using both LCA and LCC models, such that the associated
emissions and costs (actual and social) are calculated and presented using the 12-fluid ounce
functional unit.
3. RESULTS AND DISCUSSION
3.1. LIFE CYCLE INVENTORY
The resulting inventory for the inputs of the hard apple cider production system is shown
in Table 3. 3, with values related to the functional unit of one 12 fluid ounce serving.
SUSTAINABILITY OF HARD APPLE CIDER 100
TABLE 3. 3. LIFE CYCLE INVENTORY
Phase
Input
Amount
Unit
Agricultural
Carbon dioxide
0.1523
kg
Energy, in biomass
1.7285
MJ
Occupation, permanent crop, fruit
0.1567
m2a
Transformation, from permanent crop
0.0078
m2
Transformation, to permanent crop
0.0078
m2
Water
7.04E-10
l
Establishing Orchard
1.09E-03
p
Fruit tree seedling, for planting
1.09E-03
p
Mulching
7.78E-05
ha
Planting tree
7.78E-05
p
Trellis system
1.56E-05
ha
Compost
0.1753
kg
Pesticides and Fungicides
4.69E-03
kg
Packaging for insecticides
2.35E-07
kg
Diesel, low-sulfur
1.29E-03
kg
Transport, tractor and trailer
7.75E-04
tkm
Production
Water
0.8630
l
Electricity
0.1154
MJ
Yeast
1.64E-04
kg
Cleaning and Sanitizing agents
0.1862
kg
Packaging
Aluminum
0.0149
kg
Steel
0.1056
kg
Adhesive for label
1.54E-04
kg
Ink
1.32E-06
kg
Ink dilutent
4.93E-06
kg
Label
3.6E-04
kg
Can closure
3.8E-03
kg
Plastic lock keg coupler
5.5E-05
kg
Electricity
2.08E-03
MJ
Corrugated board
0.2449
kg
Adhesive for board
0.0300
kg
On-Site
Distribution
Glass
0.1889
kg
Water, for cleaning
0.863
l
Cleaning and sanitizing agents
0.1084
kg
Off-site
Distribution
Transport, lightweight commercial vehicle,
empty
0.1667
tkm
Transport, lightweight commercial vehicle,
full
0.3
tkm
End of Life
SUSTAINABILITY OF HARD APPLE CIDER 101
3.2. HARD APPLE CIDER PRODUCTION SYSTEM
The results of the impact assessment using a baseline distribution scenario of equivalent
on-site and off-site distribution of the final product can be found in Table 3. 4, while the
contribution analysis is visually depicted in Figure 3. 2. Overall, the agricultural phase has a
relatively low impact with the exception of that on land use, which is expected due to land
transformation requirements. A study by Goosens et al. (2017) investigated the
environmental impact of industrial conventional, integrated and organic orchards, and found
those systems to produce 0.075, 0.073 and 0.170 kg CO2 eq per kg of apples produced
respectively – nearly double the emissions of our localized organically managed system. The
production phase accounts for the largest impact on stratospheric ozone depletion, which is
largely attributed to the cleaning and sanitizing agents required for safe food processing.
Cimini & Moresi (2016) found that brewing beer produced an estimated 6.26 kg CO2 eq per
serving, which is substantially higher than our estimated emissions of cider production,
primarily due to the lower energy consumption requirements. As anticipated, packaging
shows the greatest impact in three areas of concern: water consumption, mineral resource
scarcity, and marine ecotoxicity. Impact on water consumption is primarily due to the water
required to process steel, the primary material for the keg packaging scenario. However, due
to the reuse value and relatively long life of kegs, they are still considered one of the most
eco-friendly packaging methods. Impact on mineral resource scarcity is due to the extraction
and processing of raw materials required to produce aluminum and steel for packaging
materials. Impact of water ecotoxicity is largely due to the can packaging scenario where the
aluminum accounts for approximately 40% of the overall impact in each category. While
SUSTAINABILITY OF HARD APPLE CIDER 102
these impacts are not to be ignored, aluminum cans have been identified as one of the least
detrimental single-use packaging forms for beverages. Glass bottles, while also a recyclable
option, have shown a much higher environmental impact than secondary aluminum cans in
previous studies (Cimini & Moresi, 2018). We see that off-site distribution accounts for the
greatest level of environmental contribution across most impact categories, associated with
the lightweight commercial vehicle emissions and diesel fuel use required for transporting
the product. On-site distribution also plays a role across many categories, primarily due to the
cleaning and sanitizing agents required for the safe service of consumable goods. Our model
presents a case of equal volume on- and off-site distribution, assuming the consumed hard
apple cider has an equal likelihood of being obtained either directly from the producer or at a
nearby retailer.
SUSTAINABILITY OF HARD APPLE CIDER 103
FIGURE 3. 2. CONTRIBUTION ANALYSIS - HARD APPLE CIDER PRODUCTION
SYSTEM
0.
10.
20.
30.
40.
50.
60.
70.
80.
90.
100.
GW
OD
IR
OFH
PM
OFT
TA
FT
MU
TE
FE
ME
HC
HN
LU
MS
FS
WC
%
Analyzing Baseline Scenario (S0);
Method: ReCiPe 2016 Midpoint (H) V1.04 / World (2010) H / Characterization
Off-Site Distribution
On-Site Distribution
Packaging Phase
Production Phase
Agricultural Phase
SUSTAINABILITY OF HARD APPLE CIDER 104
TABLE 3. 4. IMPACT ASSESSMENT RESULTS - HARD APPLE CIDER
PRODUCTION SYSTEM
Impact
category
Unit
Agricultural
phase
Production
phase
Packaging
phase
On-site
distribution
Off-site
distribution
Total
GW
Kg CO2 eq
0.0445
0.3212
0.1124
0.273
0.454
1.205
OD
Kg CFC11 eq
4.97E-7
7.3E-6
1.01E-7
3.74E-6
2.75E-7
1.19E-5
IR
kBq Co-60 eq
1.04E-3
9.37E-3
5.24E-3
7.44E-3
0.0146
0.0377
OFH
Kg NOx eq
1.62E-4
6.68E-4
3.24E-4
7.15E-4
2.02E-3
3.89E-3
PM
Kg PM2.5 eq
4.85E-5
3.77E-4
1.95E-4
4.34E-4
7.22E-4
1.78E-3
OFT
Kg NOx eq
1.71E-4
6.78E-4
3.33E-4
7.26E-4
2.09E-3
0.004
TA
Kg SO2 eq
3.3E-5
1.18E-3
4.35E-4
1.24E-3
1.56E-3
4.45E-3
FT
Kg P eq
1.5E-5
4.85E-5
4.67E-5
9.5E-5
8.09E-5
2.86E-4
MU
Kg N eq
9.78E-6
4.37E-6
1.99E-5
1.5E-5
5.62E-6
5.47E-5
TE
Kg 1,4-DCB
0.265
0.6912
0.5546
0.927
2.94
5.38
FE
Kg 1,4-DCB
0.0094
0.0118
8.28E-3
0.0107
0.0428
0.0829
ME
Kg 1,4-DCB
8.17E-3
0.0153
0.0107
0.014
0.0567
0.105
HC
Kg 1,4-DCB
2.47E-3
7.02E-3
5.0E-3
8.75E-3
0.0202
0.0435
HN
Kg 1,4-DCB
0.11
0.2719
0.1692
0.231
0.878
1.66
LU
M2a crop eq
0.451
0.0593
0.3535
0.104
0.0753
1.04
MS
Kg Cu eq
4.69E-4
1.28E-3
0.0248
1.95E-3
2.13E-3
0.0306
FS
Kg oil eq
0.0108
0.0464
0.0936
0.053
0.147
0.35
WC
M3
4.21E-4
3.6E-3
0.3713
3.36E-3
1.21E-3
0.38
3.3. LIFE CYCLE CUMULATIVE COSTS
Model results are reported as cumulative costs on a year-to-year basis using a discount
rate of 0%, 3% and 5% (Table 3. 5). The model assumes an orchard operating on 10 acres of
land, planted at 600 trees per acre over a 30-year lifetime. The establishment years 1-3 do not
include harvest activities; years 4-30 are considered the productive years with an estimated
annual yield of 16.2 tons apples per acre. This yield produces 230,351 12 fluid ounce
servings of prepared hard apple cider annually.
SUSTAINABILITY OF HARD APPLE CIDER 105
TABLE 3. 5. LIFE CYCLE COST ASSESSMENT SUMMARY
Scenario
0% Discount Rate
3% Discount Rate
5% Discount Rate
S0
$10,606,400.85
$6,957,019.14
$5,474,977.90
S1
$9,470,443.22
$6,208,293.34
$4,883,164.24
S2
$10,223,604.43
$6,719,543.56
$5,296,070.23
S3
$11,339,588.05
$7,412,150.07
$5,818,039.80
S4
$11,598,543.11
$7,565,966.38
$5,929,614.23
Discounting allows for the valuation of long-term expenditures in present day, accounting
for the time value of money in terms of usability and inflation rates. The higher the
discounting rate, the lower the net present value of future costs, accounting for greater
uncertainty. As anticipated, Scenario 1 (S1) represents the lowest cost business model due to
a lack of off-site distribution. On-site distribution calls for lower capital and operational
costs, allowing for a significantly lower lifetime cost. Scenario 4 (S4) represents the highest
cost business model; while full off-site distribution cuts some capital and operational costs
from including on-site distribution equipment and resources, the increased fuel requirements
still make this scenario the most expensive for business owners. Scenarios 0, 2, and 3 (S0,
S2, S3) represent both on- and off-site distribution, which allows for greater flexibility and
visibility from a marketing perspective and have a relatively minimal difference in lifetime
cost.
3.4. INTEGRATED LCA-LCC MODEL SCENARIO ANALYSIS
Model results have been calculated using cumulative costs for a 30-year lifetime of a hard
apple cider production system and are presented based on various distribution scenarios
(Appendix C). By assuming an annual apple yield of 162 tons for each productive year (4-
30), a total of 230,351 12-fluid ounce servings are produced annually. The cumulative costs
SUSTAINABILITY OF HARD APPLE CIDER 106
have been redefined to represent the estimated cost per serving, or the 12-fluid ounce
functional unit, as depicted in Table 3. 6.
TABLE 3. 6. LCA-LCC DISTRIBUTION SCENARIO ANALYSIS
Impact
category
Unit
S0
S1
S2
S3
S4
GW
Kg CO2 eq
1.205
0.9121
1.058
1.239
1.296
OD
Kg CFC11 eq
1.19E-5
1.53E-5
1.36E-5
1.0E-5
8.37E-6
IR
kBq Co-60 eq
0.0377
0.0261
0.0319
0.0387
0.0406
OFH
Kg NOx eq
3.89E-3
2.27E-3
3.08E-3
4.39E-3
4.94E-3
PM
Kg PM2.5 eq
1.78E-3
1.3E-3
1.54E-3
1.82E-3
1.91E-3
OFT
Kg NOx eq
0.004
2.31E-3
3.15E-3
4.51E-3
5.09E-3
TA
Kg SO2 eq
4.45E-3
3.69E-3
4.07E-3
4.4E-3
4.43E-3
FT
Kg P eq
2.86E-4
2.54E-4
2.7E-4
02.56E-4
2.35E-4
MU
Kg N eq
5.47E-5
4.49E-5
4.98E-5
4.0E-5
2.93E-5
TE
Kg 1,4-DCB
5.38
2.812
4.096
6.113
6.955
FE
Kg 1,4-DCB
0.0829
0.0426
0.0627
0.0949
0.1085
ME
Kg 1,4-DCB
0.105
0.0515
0.0782
0.1210
0.1392
HC
Kg 1,4-DCB
0.0435
0.0270
0.0352
0.0467
0.0509
HN
Kg 1,4-DCB
1.66
0.8442
1.252
1.9
2.173
LU
M2a crop eq
1.04
0.7174
0.8800
0.8517
0.7315
MS
Kg Cu eq
0.0306
0.0537
0.0422
0.0183
6.15E-3
FS
Kg oil eq
0.35
0.2780
0.3142
0.3505
0.3579
WC
M3
0.38
0.7502
0.5650
0.1932
6.76E-3
HH
DALY
3.6E-6
3.61E-6
3.61E-6
3.31E-6
3.08E-6
EH
Species.yr
1.95E-8
2.03E-8
1.99E-8
1.54E-8
1.21E-8
RS
USD2013
0.128
0.0926
0.11
0.134
0.142
Cost Per Serving (0% DR)
$1.71
$1.52
$1.64
$1.82
$1.86
Cost Per Serving (3% DR)
$1.12
$1.00
$1.08
$1.19
$1.22
Cost Per Serving (5% DR)
$0.88
$0.79
$0.85
$0.94
$0.95
Scenarios: S0. 50% on-site, 50% off-site; S1. 100% on-site; S2. 75% on-site, 25% off-site; S3.
25% on-site, 75% off-site; S4. 100% off-site
Each of the distribution scenarios shows challenges and benefits towards various impact
categories when compared. S0 shows the highest impact across terrestrial acidification,
eutrophication (freshwater and marine), and land use. S1 shows the highest impact across
stratospheric ozone depletion, mineral resource scarcity, and water consumption; it also
SUSTAINABILITY OF HARD APPLE CIDER 107
shows the largest endpoint impact on ecosystem health at the detriment of 2.08E-8 species
per year. These impacts can be primarily attributed to the raw material extraction and
processing of steel used for kegging. S4 shows the highest impact across global warming,
ionizing radiation, ozone formation (human and terrestrial), fine particulate matter formation,
ecotoxicity (terrestrial, freshwater, and marine), human toxicity (carcinogenic and non-), and
fossil resource scarcity; it also shows the highest endpoint impact on resource scarcity at
$0.142 USD. S0, S1, and S2 show nearly equivalent endpoint impact on human health at
3.6E-6 DALY (disability-adjusted life years) which again can most likely be attributed to the
higher steel requirements. These impacts are most heavily due to the transportation required
to distribute the product off-site. When looking at the cost per serving, we see the same trend
as reported in Table 5, where no or less off-site distribution accounts for lower cost.
4. CONCLUSION
In this study, we perform an integrated LCA-LCC approach to evaluate the
environmental and economic costs of the hard apple cider production system. We explore
five distribution scenarios that consider varying levels of on- and off-site distribution and
report the associated emissions and costs of a single 12 fluid ounce serving of hard apple
cider. Our findings show that on-site distribution allows for lower environmental emissions
and costs, as it is able to decrease the use of fuel used in transporting the goods. Despite these
findings, distribution scenarios which include off-site should not be written off – while there
may be higher costs, there is also the potential for higher profitability which is a key
component for the success of all businesses.
SUSTAINABILITY OF HARD APPLE CIDER 108
Future research could address some of the assumptions made in the study, which exclude
raw materials and disposal of ancillary equipment in the production, packaging, and
distribution phases. By including these data in our system boundary, our model might better
represent the impact of the system amongst the distribution scenarios. Future research could
also expand on this model by considering more sophisticated distribution models, where
considerations beyond a fixed distance are incorporated which could support instilling best
practices when identifying a distribution radius that maintains a limited impact on the
business’s environmental footprint.
LCA allows a cradle-to-grave analysis of a system to identify environmental hotspots that
can help inform targeted change in order to address sustainability concerns. Decision makers
from agricultural institutions and policy development must align on the means to achieve
agricultural sustainability as well as the support required to reach those goals. Through
collaborative support, sustainable agriculture can help to avoid further degradation of
environmental quality in a way that is physically and financially achievable. This research
has identified hard apple cider as a means for low-impact, high-profit added value for an
apple orchard. Hard apple cider opens an opportunity for decreasing food waste at the farm
level, and further through the supply chain by offering a shelf-stable product. It can also
contribution to supporting the localization of food systems, which can help to build the
consumer and policy support network necessary for sustainable agriculture.
SUSTAINABILITY OF HARD APPLE CIDER 109
CHAPTER 4. RISK ASSESSMENT OF HARD APPLE CIDER: A
SOCIOECOLOGICAL AND FINANCIAL ANALYSIS
ABSTRACT: Through life cycle assessment (LCA) and life cycle cost (LCC) analyses models,
we have been able to identify the socioenvironmental and economic impacts associated with the
hard apple cider production system. However, many of these impacts have been estimated based
on measurements which contain some level of uncertainty in the data; quantification of such
uncertainty allows for a more direct measurement of risk. Risk assessment (RA) is a method of
identifying and analyzing potential events which may negatively impact environmental, societal,
or economic health, and provides a framework for decision-making based on the tolerability of
the risk. In this study, we measure the socioecological financial risks by applying Monte Carlo
simulation to our integrated LCA-LCC model. The LCA-RA identified 4 key impact categories
(ionizing radiation, human carcinogenic toxicity, human noncarcinogenic toxicity, and water
consumption) which held the greatest level of uncertainty and should therefore be the focus of
risk mitigation strategies. The LCC-RA found that the net present value of a 30-year business
operation is positive, indicating that there is high risk of financial gain, and a relatively low risk
(<25%) of long-term financial loss or stagnancy. These findings support our belief that the hard
apple cider industry is one well worth exploring for orchardists in the Northeast, and that risk
assessment is a valuable tool in guiding data-based decision making throughout this new yet still
developing sector.
SUSTAINABILITY OF HARD APPLE CIDER 110
1. INTRODUCTION
Risk is a measure of uncertainty and is considered the situation under which the
likelihood of occurrence of decision outcomes are known to the decision-maker. All business
models come with a certain level of risk and uncertainty; the US Bureau of Labor Statistics
(2019) estimates that 20% of small businesses fail within the first year, by year 5 nearly 50%
have faltered, and by year 10 just one third of businesses have survived. In the agricultural
private sector, however, these rates are more promising: in 2019, business survival rate after
1 year of operation was 85.9%, 69.9% after 5 years, and 50.3% after 10 years (US Bureau of
Labor and Statistics, 2019). Uncertainties in business are not measurable; however, most
business models attempt to estimate such uncertainties as a measure of risk. The key
uncertainty in business models is the fluctuation in cash flow and profit, which can vary year-
to-year based on factors such as annual variable costs, revenue growth rate, and sales
volumes. While many business models attempt to account for these uncertainties, adaptive
risk management is a challenging but vital strategy towards supporting company success
(Brillinger et al., 2020).
The uncertainties inherent in weather, yields, prices, government policy, and other factors
which may impact farming contribute to a large level of risk for farm profitability. The US
Department of Agriculture (USDA) (2020) identifies five general types of risk for farms:
production, price or market, financial, institutional, and human or personal. Production risk
describes that which is associated with the natural growth process of crops which affects the
quality and quantity of the crop produced. Price or market risk describes the uncertainty
surrounding the price producers will receive for the crop, as well as the variation in the input
costs. Financial risk is associated with rising interest rates for loans and restricted credit
SUSTAINABILITY OF HARD APPLE CIDER 111
availability. Institutional risk describes the unknowns surrounding government actions,
including tax laws, production rules and regulations, and government income support
programs. Human or personal risk refers to uncertainties surrounding personal health and
relationships which can threaten the prosperity of a business.
These economic and environmental uncertainties yield a level of risk, and while a certain
level risk is understood among any enterprise, risk assessment (RA) allows one to analyze
and evaluate potential risk which can help to dictate risk management strategies. Farmers
need information about the causes of environmental impacts, and the uncertainties which
impact the sustainability of the agricultural industry. Life cycle assessment (LCA) and life
cycle cost (LCC) have been established as highly valuable tools which allow the generation
of such useful information. Agricultural LCA studies have been completed to compare
different farming systems (i.e. conventional vs. organic) (Goosens et al., 2017; Zhu et al.,
2018), and have explored specific agricultural management practices such as fertilizer use
(Wowra et al., 2020), agroforestry and intercropping (Paolotti et al., 2016; Brankatschk &
Finkbeiner, 2015), and irrigation (Borsato et al., 2019). Further LCA studies have explored
other aspects of the food production and supply chain, helping to identify environmental
hotspots in the system at question as well as provide useful data to better inform best
management practices (Borsato et al., 2019; Tasca et al., 2017). Similar work has been done
in LCC studies, quantifying the value of sustainability measures in agriculture and food
systems (Bosona et al., 2019; Konstantas et al., 2019; Martins et al., 2018). Most LCA and
LCC studies use a combination of primary and secondary data; while primary data is
measured and considered the most reliable, secondary data is often based on an estimation of
inputs and outputs which causes a certain level of variability and thus, uncertainty in the data.
SUSTAINABILITY OF HARD APPLE CIDER 112
RA provides a framework for evaluating these uncertainties and determining steps to move
forward.
RA includes three basic steps: hazard identification, vulnerability assessment, and impact
analyses. For an environmental/economic RA, hazards include emissions and financial data.
Vulnerability accounts for the uncertainty in that data, and impact is the calculation of how
those unknowns may affect the surrounding ecological and financial health. We can then use
the RA results to generate risk management strategies which allow businesses the
opportunity to plan for the unknown and create decision-making tools for appropriate
adaptive/reactive behavior in an attempt to reduce risk. While several RA studies have been
utilized to evaluate risk associated with supply chains within agricultural and food production
(Mouron et al., 2006; Dai & Liu, 2020; Clarke et al., 2018), none to our knowledge have
applied this method toward hard apple cider. In this study, we use an environmental and
economic risk assessment to inform risk management adaptation and mitigation strategies for
orchardists producing hard apple cider.
2. METHOD
2.1. LIFE CYCLE-BASED RISK ASSESSMENT
Life cycle-based risk assessment (LC-RA) is the integration of life cycle assessment
methods – including life cycle assessment (LCA) and life cycle costing (LCC) – and risk
assessment (RA) frameworks, used to evaluate risk associated with a system or product
(Walser et al., 2017). LCA is a cradle-to-grave assessment approach that is used to estimate
the cumulative environmental impact by evaluating system inputs (i.e. raw materials, energy,
fuel) and quantifying the associated emissions. LCC is an economic modeling approach used
SUSTAINABILITY OF HARD APPLE CIDER 113
to estimate the cumulative costs associated with the lifetime of a system. RA is used to
characterize the magnitude and nature of risk to environmental and human health from
pollutants that may be present in the environment (EPA, 2020). The calculated emissions and
costs outputs from the LCA and LCC models can be used to inform the RA based on
acceptable risk parameters associated with each emission and variable output to better
determine the performance uncertainties of the system in question. For this study, an
environmental and economic LC-RA model was developed to provide a comprehensive
assessment of a hard apple cider production system, and to determine the associated
environmental and human health risk (Figure 4. 1).
SUSTAINABILITY OF HARD APPLE CIDER 114
FIGURE 4. 1. LIFE CYCLE RISK ASSESSMENT FRAMEWORK
2.2. LIFE CYCLE ASSESSMENT MODELS
We performed the LCA through SimaPro Version 9.1 software under the ReCiPe
midpoint framework, which categorizes emissions data into 18 impact categories (Table 3.
1). The first step of LCA is the collection and curation of the life cycle inventory data
necessary for the environmental assessment within the project’s system boundaries. The
EcoInvent (version 3) database was utilized as the principal source of background data;
however, the majority of the processes and material information were adapted so that they
SUSTAINABILITY OF HARD APPLE CIDER 115
were representative of the observed system. Agricultural phase data was adapted from
primary data obtained from the Rodale Institute, an organic agricultural research facility in
Pennsylvania, which shared information on their apple orchard management practices. Where
specific primary data could not be obtained, data from open source databases (EcoInvent
[version 3], 2016; World Food LCA Database, 2016), government and professional sources
(National Climate Report, 2019; Food Northwest, n.d.), and previous literature (Cimini &
Moresi, 2016; Meneses et al., 2016; Iannone et al., 2016; Rodriguez-Gonzalez et al., 2015)
were used to complete the inventory. For each phase within the system boundary, input data
(i.e. materials, natural resources, energy requirements) and output data (i.e. emissions) were
included. The LCA and LCA-RA used the baseline scenario which included equal likelihood
for on-site and off-site distribution. While the LCA was modeled as a 30-year lifetime, all
data was adapted to be representative of the functional unit, 12 fluid ounce servings of hard
apple cider (Table 3. 3).
We performed the LCC assessment accounting for a lifetime operation of 30 years. We
gathered costing data including capital expenditures (US Department of Agriculture, 2019;
Galinato et al., 2014; OESCO Inc., 2020; Cydea Inc., 2020; Commercial Truck Trader,
2020), fixed costs (Galinato et al., 2014; US Department of the Treasury, 2019; US
Department of Environmental Protection, 2019), operating costs (Rodale Institute; Galinato
et al., 2014; US Energy Information Administration, 2020; Cydea Inc., 2020; US Department
of Agriculture, 2020; US Bureau of Labor Statistics, 2019) and emissions costs (US
Environmental Protection Agency, 2016). Results from the LCA model were used as input
parameters for the LCC model to calculate the social cost of emissions data. The summary of
cost inputs can be viewed in Table 3. 2.
SUSTAINABILITY OF HARD APPLE CIDER 116
2.3. RISK ASSESSMENT MODEL
Probability distributions provide a mathematical function which gives the likelihood of
occurrence of possible outcomes for an experiment. While there are many types of
probability distributions, we have identified lognormal, normal, triangular, and
uniform/range as the potential distribution types for this risk assessment based on the input
data and software abilities (SimaPro 9.1; Palisade @RISK). A lognormal distribution
describes variables which can be modelled as the product of multiple small independent
positive variables; a normal distribution assumes a continuous probability distribution with
variance of the distribution as the squared standard deviation; a triangular distribution is used
when the mode, lower, and upper limits are known; and a uniform/range distribution is used
when all intervals along the distribution are equally probable, and that the distribution is
relatively symmetric between bounds (Rothschild, 1986).
The risk assessment was performed using Monte Carlo simulation, which interprets data
uncertainty through probability distributions (i.e. normal, lognormal) by analyzing a series of
iterations, resulting in a probability distribution of possible outcomes expressed as a range or
standard deviation. Monte Carlo approximation can be defined as:
𝐸𝐸(𝑋𝑋)≈1
𝑁𝑁�𝑥𝑥𝐴𝐴
𝑁𝑁
𝐴𝐴=1
which can be read as the expectation E of the variable X is approximately equal to the
sum of the samples N divided by the sample size n. This method provides a more
comprehensive view of what may happen over traditional, single-point estimate analysis, in
addition to producing a sensitivity analysis which allows one to determine which inputs have
SUSTAINABILITY OF HARD APPLE CIDER 117
the largest effect on overall results. To base our model on what may be applicable in a real-
time scenario, we utilized the US EPA risk assessment guideline documentation Guidelines
for Ecological Risk Assessment (1998) and Guiding Principles for Monte Carlo Analysis
(1997) to guide the development of our LCA and LCC analytical techniques.
The LCA model was evaluated using the SimaPro 9.1 uncertainty analysis tool at a 90%
confidence interval. The EcoInvent (v3) database used to inform the impact assessment uses
data points that come with a specification of uncertainty. In the data, those uncertainty scores
have been set using the Pedigree matrix, which accounts for reliability, completeness,
temporal correlation, geographical correlation, and further technological correlation
(Weidema, 1996). For each factor, these scores range from 1 (measured data) to 5 (estimated
values based on different scale or process) to indicate the level of uncertainty. SimaPro offers
four different distributions: uniform, triangular, normal, and lognormal – and the majority of
the data assumes a lognormal distribution (PRé Sustainability, 2016). Because we adapted
the data to be representative of our specific scenario, we did not make any changes to the
uncertainty scores or distribution curves. For our primary data, we utilized an uncertainty
score of 1 (low uncertainty) as it was measured data, with normal distribution.
The LCC model was evaluated using the Palisade @RISK 8.0 analysis software, which is
and add-on to Microsoft Excel. The known inputs included unit cost ($0.64 per 12 fluid
ounce serving) based on the LCC model output, unit sales price ($2.50 per 12 fluid ounce
serving) based on the survey findings in Chapter 2, where there was an average willingness
to pay a medium-high price of $14.99 per 6-pack of hard apple cider. With a 10-acre orchard
producing 162 tons of apples per annum, we estimated an annual sales volume of 200,000
units based on the maximum output of 230,351 units (approximately 85% productivity). The
SUSTAINABILITY OF HARD APPLE CIDER 118
uncertain inputs included capital cost, annual fixed cost, annual variable cost percentage,
annual revenue, and annual revenue growth rate (Table 4. 1). The capital cost and annual
fixed cost were assigned normal distributions, with median values of $432,048.70 and
$376,827.86 respectively, based on the LCC model output and a standard deviation based on
10% of the median. The annual variable cost percentage was assigned a triangle distribution,
with a median value of 1.2% based on the current annual inflation rates, with a minimum of
0.7% and a maximum of 3%, based on the low and high annual inflation seen over the last
decade (US Inflation Data, 2019). The annual revenue was assigned a triangle distribution,
with a mode value of $500,000 based on an estimated sales rate of 200,000 units at $2.50
each, a minimum value of $0, and a maximum value of $575,877 (based on 100%
productivity). The annual revenue growth rate was assigned a uniform distribution, with
median value of 1.2% with a ±0.1% standard deviation, based on current annual inflation
rates, and consumer expectation that year-to-year cost per unit changes are insignificant. The
risk output was based on the net present value (NPV) which was calculated based on the
aforementioned inputs/outputs in addition to three separate discount rates of 0%, 3%, and
5%.
TABLE 4. 1. LCC-RA UNCERTAIN INPUTS
Input
Distribution
Lower CI
Median
Upper CI
Capital cost
Normal
$360,577
$432,048.70
$502,733
Annual fixed cost
Normal
$314,654
$376,827.86
$438,564
Annual variable cost
Triangle
0.7%
1.2%
3.0%
Annual revenue
Triangle
$248,402
$445,662.13
$553,713
Annual revenue growth rate
Uniform
1.09%
1.2%
1.3%
Using these emissions and costs inputs and model parameters, we performed the SimaPro
and @RISK Monte Carlo simulations using 1,000 iterations to compute the estimated mean
SUSTAINABILITY OF HARD APPLE CIDER 119
and variance. The results allowed us to evaluate risk, and informed our communication and
management strategies.
3. RESULTS AND DISCUSSION
3.1. LCA RISK ASSESSMENT
The LCA-RA model was run based on a 30-year operation of a hard apple cider
production system, and the output was based on the annual operating capacity of 230,351
servings of hard apple cider under the functional unit of 12 fluid ounces. The Monte Carlo
simulation showed that 73% of the data contained uncertainties, with the distribution of that
data being 72.7% lognormal, 0.0556% normal, 0.238% triangle, and 0.00019% uniform.
Table 4. 2 shows the results of the Monte Carlo simulation under the ReCiPe framework,
stating the mean, median, standard deviation, coefficient of variability (CV), and lower and
upper limits of the 90% confidence interval (CI) (Table 4. 2).
SUSTAINABILITY OF HARD APPLE CIDER 120
TABLE 4. 2. MONTE CARLO SIMULATION RESULTS - RECIPE FRAMEWORK
Impact
Category
Unit
Mean
Median
Std. Dev.
CV
5% CI
95% CI
GW
kg CO2 eq
1.2
1.2
9.58E-2
27.9
1.06
1.37
OD
kg CFC11 eq
1.19E-5
1.17E-5
2.34E-6
19.7
8.27E-6
1.61E-5
IR
kBq Co-60 eq
0.039
0.0236
0.0512
131
0.009
3.24
OFH
kg NOx eq
0.0039
0.00387
0.000346
8.88
0.00337
0.00449
PM
kg PM2.5 eq
0.00178
0.00176
0.000141
7.93
0.00157
0.00204
OFT
kg NOx eq
0.004
0.00397
0.000349
8.72
0.00346
0.00459
TA
kg SO2 eq
0.00445
0.00443
0.000316
7.1
0.00399
0.005
FT
kg 1,4-DCB
0.0819
0.075
0.0272
33.2
0.051
0.135
MU
kg N eq
5.94E-5
5.45E-5
3.93E-6
7.16
4.93E-5
6.18E-5
TE
kg 1,4-DCB
0.0819
0.075
0.0272
33.2
0.051
0.135
FE
kg 1,4-DCB
0.0819
0.075
0.0272
33.2
0.051
0.135
ME
kg 1,4-DCB
0.104
0.0947
0.0357
34.4
0.0642
0.174
HC
kg 1,4-DCB
0.0441
0.0381
0.0395
89.7
0.0267
0.0753
HN
kg 1,4-DCB
1.64
1.55
0.935
56.9
0.327
3.24
LU
m2a crop eq
1.05
1.03
0.15
14.3
0.844
1.33
MS
kg Cu eq
0.0306
0.0304
0.00114
3.73
0.0292
0.0326
FS
kg oil eq
0.351
0.349
0.024
6.82
0.315
0.395
WC
m3
0.371
0.388
0.15
40.4
0.0868
0.589
The impact categories marked in red represent those with a CV ≥ 40, indicating an unacceptable
level of uncertainty in the data.
Global Warming (GW); Ozone Depletion (OD); Ionizing Radiation (IR); Ozone Formation,
Human health (OFH); Fine Particulate Matter Formation (PM); Ozone Formation, Terrestrial
health (OFT); Terrestrial Acidification (TA); Freshwater Ecotoxicity (FT); Marine Ecotoxicity
(MT); Terrestrial Eutrophication (TE); Freshwater Eutrophication (FE); Marine Eutrophication
(ME); Human Carcinogenic Toxicity (HC); Human Noncarcinogenic Toxicity (HN); Land Use
(LU); Mineral Resource Scarcity (MS); Fossil Resource Scarcity (FS); Water Consumption
(WC)
The CV value represents the ratio between the standard deviation and the mean, showing
the relative magnitude of uncertainty within the impact category; the lower the CV, the less
uncertainty there is in the data. A CV ≤ 30 is generally considered an acceptable value in the
literature; however, agricultural research accounts for an acceptability level of CV ≤ 40 (Cui,
1989; Kozak et al., 2013). Based on this parameter, our data shows certain levels of variance
that represent a large level of risk which must be considered when providing risk
SUSTAINABILITY OF HARD APPLE CIDER 121
management strategies: ionizing radiation (CV=131), human carcinogenic toxicity
(CV=89.7), human non-carcinogenic toxicity (CV=56.9), and water consumption (CV=40.4)
(Figure 4. 2). Due to the higher level of uncertainty, these impact categories represent the
priority areas of risk management intervention. Ionizing radiation accounts for the level of
exposure for the global population, based on the unit of annual kilobecquerels (kBq) of
Cobalt-60 equivalent to air. While ionizing radiation has the highest CV, we can see the data
is right-skewed and that there is a significantly higher probability of lower CO-60 emission
levels. Human carcinogenic and non-carcinogenic toxicity accounts for the environmental
accumulation in the food chain, based on the unit of annual kilograms (kg) of 1,4-
dichlorobenzeen (1,4-DCB) emitted. The key difference between these units (carcinogenic
vs. non) is that carcinogenic 1,4-DCB is generally a lower level, because there is a lower
likelihood that the associated emissions are at carcinogenic toxicity levels. Like ionizing
radiation, human carcinogenic toxicity is also right-skewed, indicating a higher likelihood of
lower 1,4-DCB emission levels. Human noncarcinogenic toxicity, however, has a more
normal distribution curve, albeit slightly right skewed. Water consumption accounts for cubic
meters (m3) of water used related to local water scarcity, and also shows a more normal
distribution curve which is slightly left-skewed, indicating that water use is more likely
higher than the median value.
SUSTAINABILITY OF HARD APPLE CIDER 122
FIGURE 4. 2. DISTRIBUTION OUTPUT FOR HIGH-RISK IMPACT CATEGORIES
(A) Probability Characterization – Ionizing Radiation (kBq Co-60 eq)
(B) Probability Characterization – Human Carcinogenic Toxicity (kg 1,4-DCB)
(C) Probability Characterization – Human Non-Carcinogenic Toxicity (kg 1,4-DCB)
(D) Probability Characterization – Water Consumption (m3)
SUSTAINABILITY OF HARD APPLE CIDER 123
We are also able to explore the uncertainty in the data specific to the emissions which
inform the ReCiPe midpoint impact categories. While the impact categories are useful for
providing general guidelines, the variation in the emissions data is important in dictating
whether management strategies should be mitigation or adaptation based for specific priority
pollutants. The LCA-RA output allows us to view the emissions data based on the
corresponding emissions compartment (air, raw, social, soil, waste, and water), which allows
for a more in-depth analysis of priority pollutants. Of the 2020 substance inputs, 74 (3.7%)
had a CV of “not a number” (NAN) representing that there was not enough information to
calculate the uncertainty of those variables, and 268 (13.3%) substance inputs showed a CV
≥ 40. When looking at each of the emissions compartment separately, 51 (10%) air
emissions, 76 (12.4%) raw emissions, 2 (66.7%) social emissions, 26 (7.1%) soil emissions,
and 110 (20.8%) water emissions showed a CV ≥ 40. By understanding these specific
uncertainties surrounding emissions data, we can justify further need for measurement of
data to improve the overall model for future work.
3.2. LCC RISK ASSESSMENT
The LCC-RA model was run based on a 30-year business plan for a hard apple cider
production system, using a 1,000 iteration Monte Carlo simulation with a 90% confidence
interval for discount rate scenarios of 0%, 3%, and 5% (Figure 4. 3). The 0% discount rate
simulation showed a mean NPV of $2,767,011.82 ± $163,916.71. The model showed a lower
limit of -$9,277,126.19 and an upper limit of $9,574,815.48, with an 81.3% chance of NPV ≥
0. The 3% discount rate simulation showed a mean NPV of $1,546,570.89 ± $109,206.68.
The model showed a lower limit of -$7,595,658.79 and an upper limit of $5,832,079.77, with
a 77.3% chance of NPV ≥ 0. The 5% discount rate simulation showed a mean NPV of
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$1,055,575.90 ± $86,374.96. The model showed a lower limit of -$4,937,877.36 and an
upper limit of $4,480,673.69, with a 74.8% chance of NPV ≥ 0. As anticipated based on
economic theory, the higher discount rate was associated with a lower net present value and
standard deviation. By applying the higher discount rate, we place the value of money today
higher than that of money in the future. While this discounted cash flow shows a lesser
overall value of the lifetime of the hard apple cider business, it also presents significantly
lower risk. While each of these scenarios presents a potential loss (negative NPV over 30
years), each scenario does show that the upper 95% likelihood is positive. Each of the
scenarios also show the data is moderately left (or positively) skewed, with a skewness
between -0.596 and -0.637. The kurtosis for each scenario is approximately equal to 3,
presenting a normal, mesokurtic distribution.
FIGURE 4. 3. MONTE CARLO SIMULATION DISTRIBUTION OUTPUT - NPV 0%,
3%, 5%
Values
x
10°-7
Values
x
10°-7
25
20
os:
0.0
3.0
25
os:
0.0
NPV
-
3%
Discount
Rate
0,00
@RISK
Course
Montclair
State
UI
Values
in
Milions
($)
NPV
-
5%
Discount
Rate
Values
in
Milions
(8)
Cell
Minimum
Maximum
Mean
90%
CI
Mode
Median
std
Dev
‘Skewness
kurtosis
Values
Errors
Filtered
Left
x
Left
P
Right
x
Right
P
Model_0%!C24
~$7,595,658.79
$5,832,079.77
$1,546,570.89
+=
$109,206.68,
$1,554,364.09
$1,828,199.94
$2,097,584.31
-0.6848
3.3061
1000!
0
0
$0.00
22.7%
$4,338,907.91
95.0%
Cell
Minimum
Maximum
Mean
90%
CI
Mode
Median
std
Dev
‘Skewness
kurtosis
Values
Errors
Filtered
Left
x
Left
P
Right
x
Right
P
Model_0%!C24
~$4,937,877.36
$4,480,673.69
$1,055,575.90
++
$86,374.96)
$1,733,407.38
$1,290,280.88
$1,659,044.69
-0.5960
3.0561
1000!
0
0
$0.00
25.2%
$3,416,146.88
95.0%
SUSTAINABILITY OF HARD APPLE CIDER 125
SUSTAINABILITY OF HARD APPLE CIDER 126
3.3. RECOMMENDED RISK MANAGEMENT STRATEGIES
Based on the LCA-RA model, we have identified that while the hard apple cider
production system represents a low ecological and human health environmental impact, there
is some risk associated with the uncertainty measures of the data. Based on these findings,
one can argue that risk communication requirements for both the producer and consumer are
relatively low because even with measurable uncertainty, the associated emissions for each
impact category are minimal. However, the LCA-RA findings do show that more primary
data is needed to solidify this argument, as there is a large level of uncertainty for 4 primary
impact categories: ionizing radiation, human carcinogenic toxicity, human noncarcinogenic
toxicity, and water consumption. When referring to our finding through the impact
assessment in Chapter 3 (Table 3. 4), we can see more information about the hard apple cider
system stages associated with each impact category of concern. By utilizing this information,
we can recommend guidelines for further testing measures so that we can decrease
uncertainty and the associated risk and provide recommendations for best management
practices. Off-site distribution was the highest contributor to ionizing radiation, human
carcinogenic toxicity, and human noncarcinogenic toxicity. Based on this, we recommend
that hard apple cider producers skew towards using primarily on-site distribution methods,
consider using electric or low-emissions fleet vehicles for transportation, and limit
distribution mileage as much as possible. Packaging was the highest contributor to water
consumption, where stainless steel used to produce kegs was most responsible for the
associated impact. Based on this, we recommend that producers consider sustainable
sourcing where possible, such as using used kegs, and participating in reuse/recycling
programs to support the longevity of these high-impact materials.
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Based on the LCC-RA model, we can argue that this business model is viable and should
be pursued by apple orchardists and investors alike. The NPV of a 30-year business presents
positive growth, with the company valuing an average of approximately $1.06-2.77 million
depending on the discount rate applied. While each discounted cash flow scenario
represented a wide range of net present value, all three models show a minimal likelihood of
business failure (negative value) or stagnancy over the course of its lifetime. Based on these
findings, we recommend utilizing the 5% discounted rate cash flow in business planning and
management to account for the uncertain value of money in the future and act on a lower-risk
business model. One key takeaway from the LCC-RA model is that while each NPV shows a
positive value, these findings do not necessarily address every business model involving hard
apple cider. We based our revenue and costs based on informed estimates, but this analysis
provides merely a snapshot into what the current market is for a hard apple cidery growing its
own apples which uses all of its apple yield toward hard apple cider. While our model can be
used as an approximation of risk, hard apple cider producers should consider the costs and
benefits specific to their personal business models to understand the actual likelihood of
long-term financial success.
4. CONCLUSION
In this study, we performed a life cycle-based risk assessment of hard apple cider
production by applying Monte Carlo simulation to LCA and LCC models to measure the
level of uncertainty based on our environmental and financial impact data. We applied these
models to the theoretical scenario of a hard apple cider production system managing a 10-
acre apple orchard using organic management practices, producing hard apple cider on-site,
and packaging it for both on-site and off-site distribution over a 30-year lifetime. Based on
SUSTAINABILITY OF HARD APPLE CIDER 128
the LCA-RA, we determined that the greatest uncertainty in the data was associated with
ionizing radiation, human carcinogenic toxicity, human noncarcinogenic toxicity, and water
consumption. While these findings indicate a need for improved data measurements, we can
conclude that the hazard associated with the approximated emissions is relatively low. For
further risk mitigation, we recommend that hard apple cider producers partake in emissions
testing on-site to inform whether intervention is needed.
Because our ecological and human health risk assessment was primarily based on
secondary material, and that risk was measured based on levels of uncertainty in the data, we
also recommend that hard apple cider producers participate in sourcing data specific to their
own land and production management practices. While these estimations are useful for
predicting risk, the most reliable method is through source emissions testing. Environmental
risk can be done by testing air, soil, and water at the apple orchard and/or hard apple cider
production facility, and comparing those results to maximum contaminant levels (MCLs)
listed in US EPA regional screening level guidelines which provide information on emissions
action-levels for various substances depending on the medium (i.e. groundwater). Human
health risk can be assessed by using emissions data obtained at the farm/production area,
which would be most applicable to those with greatest exposure to the area, like employees
or people residing within a close proximity. More commonly for consumable goods,
however, would be contaminant testing of the actual hard apple cider. By testing the hard
apple cider for the same priority MCLs listed in the EPA’s drinking water standards, we can
gain valuable insight into the dose-response relationship between contaminants of concern
and risk communication.
SUSTAINABILITY OF HARD APPLE CIDER 129
The LCC-RA showed promising results, indicating that hard apple cider production
shows a strong likelihood (≥ 25%) of having positive net present value over the course of a
30-year lifetime. While there was a wide range of income potential, the likelihood of loss or
stagnancy was relatively low. We recommend orchardists utilize our model as a baseline for
their own practices and adjust it so that it is representative of their own operations, including
employee compensation.
SUSTAINABILITY OF HARD APPLE CIDER 130
CONCLUSION
SUSTAINABILITY VALUES AND THE PRODUCER-CONSUMER RELATIONSHIP
Sustainability encompasses the balance of environmental quality, societal equity, and
economic prosperity. By incorporating sustainability metrics in system management, producers
and consumers alike stand to benefit from improved growth and accessibility without degrading
our most important natural resources. In Chapters 1 and 2, we explored the value that apple
orchard owners/managers and hard apple cider consumers placed on various attributes of
sustainability.
By applying the VBN theoretical framework to the apple orchard owner/manager survey, we
were able to analyze and identify how key motivating factors which influenced current
management practices and likelihood of adopting sustainable management practices. Our model,
which combined PCA and multiple regression analysis techniques, provided important insight on
preexisting values’, beliefs’, and norms’ influence over actual and predicted behaviors. This
study indicated that personal values showed the largest level of influence over actual behavior,
pertaining to current application of sustainable apple orchard management practices. Personal
beliefs, however, showed the most influence over predicted behavior, related both to the level of
willingness to implement sustainable management practices in the future and willingness to
produce green, premium-priced products. Values are deeply embedded ideas that hold important
and typically govern the way one behaves and communicates. Beliefs are concepts that are held
as truth, regardless of evidence though often supported by one’s values. This study’s findings
highlight a key distinction between values and beliefs: while both play a key role in our attitudes
and opinions, they are inherently different in the way one behaves. This study provides valuable
SUSTAINABILITY OF HARD APPLE CIDER 131
information which can be used to generate educational techniques and supportive policy which
can be used to build on as help shape agricultural practices within a framework which aligns with
the values and beliefs among agricultural communities.
By applying the BWC method to the hard apple cider consumer survey, we were able to
estimate a hierarchal relationship among sustainability attributes that affect a cider consumer’s
intention to purchase at different price points. This study indicated that the way the apples were
grown (organic and local) in addition to specific sustainable agricultural practices (i.e. IPM)
were the most highly valued attributes. Of this, locally sourced, followed by organic, were the
most highly perceived sustainable qualities of a hypothetical hard apple cider. Sustainable
production practices (i.e. renewable energy use) were insignificant, and socially responsible
practices (i.e. charitable donations) were significant though negatively perceived. This finding
indicates a key challenge in effective communication through marketing, and a gap in
foundational knowledge of what ‘sustainability’ means beyond environmental consequence.
Despite these findings, survey participants were willing to pay a premium price for all of the
sustainable attributes, ranging from a premium of $4.64-$10.05, which argues that while certain
sustainability attributes are more highly valued, consumers are generally willing to pay a higher
than average price for hard apple cider. This study provides a useful foundation for supporting
sustainable agricultural practices, showing evidence that hard apple cider consumers are willing
to pay a premium for products which advertise the sustainable qualities of their product.
These studies provide an underpinning of knowledge invaluable to bridging the gap among
the producer-consumer relationship. This information is key in developing market-driven
development strategies, ranging from public education efforts to providing government-based
incentives which can help to provide support for sustainable agriculture and business
SUSTAINABILITY OF HARD APPLE CIDER 132
development. While this research has explored just a few key topics, it has created a foundation
for continued work in this field and has opened a gateway for producer-consumer research for
hard apple cider among other burgeoning sectors of the food and beverage industry.
ENVIRONMENTAL AND SOCIO-ECONOMIC IMPACT AND RISK
Impact assessment provides a formal, evidence-based basis of information which can be
valuable in assessing the environmental and socio-economic effects of a system. This assessment
method can be applied on a number of scales to estimate mid- and long-term impacts and can
help to support mitigation and adaptation management strategies to avoid undue risk. In Chapters
3 and 4, we apply this technique to the hard apple cider production system over a 30-year
lifetime through LCA, LCCA, and RA analytical techniques.
By applying LCA and LCCA assessment techniques to a hard apple cider production system,
we were able to estimate the environmental and socio-economic costs associated with a single
serving of hard apple cider. Our LCA model estimated the emissions and determined how those
values impacted various sustainability metrics. By quantifying the emissions for each phase
(agricultural, production, packaging, and distribution) of the system, we were able to identify key
issues which could be addressed through adaptive management strategies throughout the system.
Overall, we identified distribution as the largest contributor to most impact categories; thus, we
focused on a variety of distribution scenarios for further analysis. Our LCA model also provided
useful information used to inform the environmental costs we included in our LCCA model. Our
LCCA model estimated the costs (capital, fixed annual, variable, and environmental) under net
present values calculated under multiple discount rates for each of the distribution scenarios
previously explored and provided a cost estimate for the final product ranging from $0.25-$0.78
per serving. The findings from our integrated LCA-LCC model indicated that hard apple cider
SUSTAINABILITY OF HARD APPLE CIDER 133
producers should rely more heavily on on-site distribution to lessen their overall costs and
improve sustainability metrics.
By applying RA to our LCA and LCCA models, we were able to measure the level of
uncertainty in the data which allowed us to estimate the risk associated with the hard apple cider
production system. Our LCA-RA model indicated that the greatest level of risk was associated
with uncertainty in the data pertaining to emissions quantified as the sustainability metrics
ionizing radiation, human carcinogenic toxicity, human noncarcinogenic toxicity, and water
consumption. While these findings support the need for increased data collection and regular on-
site emissions testing, we are able to see that even amongst uncertainty that the hard apple cider
production system offers relatively low-risk value. Our LCC-RA model showed promising
results, such that the average lifetime value ranged from approximately $3.7-7.3 million, with a
0.6-1.1% chance of breaking even or negative value, depending on the discount rate used. As
anticipated based on economic principles, the larger the discount rate used to calculate net
present value showed a lower rate of return and a lower level of uncertainty. These findings
support the argument for using a larger discount rate for longer-term fiscal planning in order to
support management strategies under reduced financial risk. This study provides a framework for
similar businesses to generate risk assessment and management strategies, though also indicates
the need for increased data sources for improved reliability.
LIMITATIONS AND FUTURE WORK
While throughout our research we attempted to identify clear boundaries for our studies,
there are a number of limitations which could be addressed through future work. In Chapter 1,
our primary limitation was the sample size of our surveyed group. Our distribution list consisted
of 306 apple orchard owners/managers in our study area. However, this was limited to what we
SUSTAINABILITY OF HARD APPLE CIDER 134
were able to find publicly available online and excluded those who did not have email addresses
associated with their businesses. The online format of this survey is a limiting factor which may
exclude participation from those with limited internet access and familiarity; a mixed-medium
approach using paper surveys may be more inclusive. Further, the survey provided limited
insight on how environmental values, beliefs, and norms translated to sustainable
actions/inactions; however, there are likely many other factors which play into decision-making
such as habit, past experience, education, and access to resources, which were not fully explored
in this study. Another limitation of the study is that practicing or not practicing certain
sustainable management practices does not necessarily translate to the environmental impact.
Future work should include both self-reporting of practices in addition to site-testing data to
better assess how successful those sustainable measures have been in decreasing an orchards’
environmental footprint.
In Chapter 2, our approach was also limited as an online format, which may have excluded
participation from those without internet access. While using a 3rd party marketing company like
Qualtrics minimizes bias to an extent, participants did receive minor compensation for their
participation which may have led to a biased response. The survey was also based on self-
reported cider consumption, which is not always reliable. Future work could use a mixed-
medium approach by including phone, in-person, and online surveys for potential participants
with known purchasing habits to ensure the respondent truly qualifies for the survey. While we
have no reason to believe that survey distribution in January would have been biased, responses
collected over a larger range of time may provide more reliable cost data for the analysis. By
collecting responses over the course of a full year, we would stand to both increase the number
of responses and reliability of the data in future work. Additionally, this study used a stated
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preference approach, and while this method is useful in predicting behavior, a revealed
preference approach using actual purchasing data may be more reliable in predicting actual
purchasing decisions and willingness to pay.
In Chapter 3, our key limitation was reliance on secondary data for both calculating both
environmental and economic costs. While we took measures to acquire our secondary data from
dependable sources, and justified any scaling and calculations based on reliable methods, our
study would be greatly improved through field data collection from multiple primary sources.
While our research was able to provide estimations of environmental impact and life cycle cost,
these estimations would be more applicable to apple orchards and hard apple cider producers if it
were based on actual data obtained from land and producers based on our study area. Future
research could also continue to build upon our model to include more scenarios which explore
the many variables, which can lead to great disparity in environmental and economic impact. For
example, the agricultural phase used data from one organic apple orchard and while these may be
considered best practices for that particular orchard, they are not necessarily representative of
best practices for all orchards in all circumstances (i.e. under varying geographical and weather
conditions). The production phase assumed that all apples were used for producing hard apple
cider, however, many operations may include alternative uses for their crop such as fresh fruit
sales or other consumable goods. The packaging phase included 12-oz aluminum cans and steel
kegs based on previous literature, however, there are many alternative packaging mechanisms
which could have been utilized. Lastly, the distribution phase could be expanded to include a
more complex transportation distance and should consider including the consumer emissions
associated with acquiring the final product for both on- and off-site scenarios.
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In Chapter 4, we see similar limitations to those in Chapter 3 as the LCA and LCC models
were used to quantify risk. Risk assessment and the measuring of uncertainty becomes greatly
improved with more primary data. Future work should continue to collect environmental
emissions and financial data directly from apple orchards and hard apple cider production
facilities to more accurately estimate the level of risk associated with this production system. By
collecting primary environmental emissions data, we could create a more cohesive risk
management plan by comparing the data to US EPA maximum contaminant level guidelines for
air, water, and soil pollutants. By collecting data from multiple resources, we could also gain
insight into how certain inputs (i.e. pesticides, fertilizers, cleaning agents) may impact a specific
environment based on preexisting geographical conditions (i.e. slope, soil texture, precipitation).
Future work could also include longer-term financial data collection, which would be useful in
predicting unknown variables such as annual cost and annual revenue growth rate, which play an
important role in economic risk assessment. While there is always a level of uncertainty, more
data directly from the hard apple cider sector would greatly improve our model.
While the methods employed in this research have been used in many different applications,
this dissertation is the first to our knowledge to apply them towards hard apple cider. Fruit tree
agriculture and alcoholic beverage sectors are widely explored in academic research; however,
hard apple cider is relatively unexplored and can be considered a novel sector within these two
branches of research. By pursuing further environmental and socioeconomic research of hard
apple cider, we hope to continue to gain insight towards this new, but rapidly growing sector of
the food and beverage industry. Through this, we hope to support the hard apple cider industry,
and the regional, local farmers and rural communities which stand to gain from its success.