The Role of Digital Economies in Modern GDP Calculation
Introduction
The increasing digitization of economies worldwide presents both opportunities and challenges
for assessing national economic performance using traditional GDP measures. The value
generated from digital activities and assets involves both tangible and intangible outputs that are
often hard to precisely capture within GDP boundaries. At the same time, digital technologies
have broader impacts across industries through productivity gains and new business models
that again are difficult for standard national accounts to fully reflect.
This paper examines the implications of digital economies for GDP accounting and aims to shed
light on ongoing efforts to enhance national measurement frameworks to keep pace. The
emergence of "digital GDP" statistics is discussed as a supplementary approach to gain a fuller
picture of modern output. Case studies provide empirical insights on the economic significance
of digital industries. The conclusion reflects on implications and remaining gaps that future
research can help address.
Conceptual Framework
The System of National Accounts (SNA) was designed based on the production of physical
goods and services transacted through monetary markets. However, the digital economy
involves several non-SNA outputs:
- Free digital services from social platforms, search engines etc. provide utility without market
transactions.
- Network effects and multi-sided platforms create value through user data and interactions
rather than direct consumption.
- Digital infrastructure and technologies embedded in other industries boost productivity in ways
not fully captured by standard deflators.
- Own-use production of digital content and sharing economies contribute to well-being outside
the production boundary.
At the same time, cross-border data flows complicate assignment of online activities' location for
GDP territoriality principles. Accurately measuring digital industries thus requires supplemental
techniques beyond traditional production/expenditure approaches.
Defining "Digital GDP"
To address these challenges, statistical agencies are developing "digital economy satellite
accounts" (DESA) benchmarked to the SNA but with alternative output valuation methods.
These compile a "digital GDP" total by capturing value from:
- Digital manufacturing using 3D printing/robotics.
- Computer programming/software publishing.
- Telecoms infrastructure operation.
- Data/media streaming platforms through advertising revenue.
- ICT consultancy services boosting organizational efficiency.
- Hardware resale/maintenance supporting digital technologies.
An activity's contribution is included based on its digital dependence even if partly offline. Some
accounts may further estimate consumer surplus to incorporate free online services. While
imperfect, digital GDP thus provides a broader indication of digitization's economic impact.
Empirical Evidence of Digital Industries' Scale
Official digital economy satellite accounts are emerging across countries:
- UK estimates digital industries contributed 7.7% to GDP in 2017, outpacing overall growth by
3%. Software/IT services were largest contributors.
- Canadian data shows core ICT sectors' share rose from 3.8% to 5.6% of GDP 2006-2018.
Digital media/entertainment also expanded.
- Singapore reported digitally-intensive activities contributed 20.9% to GDP in 2017 with
infocomm technology the single largest industry.
- Eurostat estimates the EU digital sector added 3.9% to GDP in 2017 led by computer
programming activities.
Private sector analyses also highlight digital value not fully captured:
- Stock market valuations imply 35-40% of S&P 500 firm value now derived digitally versus 20%
a decade ago.
- Customer experience platforms alone may contribute 2% of US GDP uncounted according to
an Accenture study.
While metrics vary in scope and definitions, evidence clearly shows digital industries and
technologies play an increasingly prominent, albeit understated, role in modern economies at
both national and firm levels. Developing accounting best-practices remains crucial.
Implications for Monetary and Fiscal Policy
The very nature of digital value creation poses challenges for macroeconomic policymaking
reliant on GDP:
- Statistics excluding the scale of digital may distortingly understate aggregate
output/productivity trends used for forecasting.
- Intangible/free online services also likely contribute significantly to consumer price inflation left
unmeasured by traditional deflators.
- Cross-border data flows enable tax base erosion concerns if the location of digital business is
ambiguous in national accounts.
- Infrastructure investment needs may be underestimated if productivity impacts across the
whole economy are obscured.
Accurate assessment of such issues requires policymakers to utilize estimates of digital GDP,
while also exploring supplementary indicators like adjusted price indices incorporating online
consumer behavior. More holistic data will help ensure appropriate fiscal/monetary stances
facilitating innovation.
Conclusion and Future Research Needs
In summary, while GDP remains a fundamental statistic, its ability to fully characterize modern,
data-driven economies has limitations that supplemental digital economy metrics can help
address. Empirically, the scale of digital industries, technologies and business models already
underscores their macroeconomic relevance, albeit understated.
Moving ahead, statistical priorities include standardizing digital satellite account methodologies
for cross-country comparisons and tracking data/intangible asset production across system
boundaries. Coordinated international work is underway through the UN, OECD and national
statistical agencies to evolve frameworks appropriately capturing digital value.
Areas meriting future research also encompass refining output deflators, industry classifications,
location allocation principles for digital cross-border activities and welfare implications of own-
use digital services. There is also scope to explore links between investment in digital
infrastructure, skills and multi-factor productivity at both macro and firm levels.
As technological change accelerates, continuously enhancing national accounting to reflect
economic realities will remain indispensable. Supplementing GDP with digital economy metrics
today helps provide more robust background for navigating associated challenges and
harnessing opportunities of ongoing digitization. An evidence-based understanding of true
contributions remains key to sound policymaking in the 21st century.
The increasing digitization of economies worldwide presents both opportunities and challenges
for assessing national economic performance using traditional GDP measures. The value
generated from digital activities and assets involves both tangible and intangible outputs that are
often hard to precisely capture within GDP boundaries. At the same time, digital technologies
have broader impacts across industries through productivity gains and new business models
that again are difficult for standard national accounts to fully reflect.
This paper examines the implications of digital economies for GDP accounting and aims to shed
light on ongoing efforts to enhance national measurement frameworks to keep pace. The
emergence of "digital GDP" statistics is discussed as a supplementary approach to gain a fuller
picture of modern output. Case studies provide empirical insights on the economic significance
of digital industries. The conclusion reflects on implications and remaining gaps that future
research can help address.
Conceptual Framework
The System of National Accounts (SNA) was designed based on the production of physical
goods and services transacted through monetary markets. However, the digital economy
involves several non-SNA outputs:
- Free digital services from social platforms, search engines etc. provide utility without market
transactions.
- Network effects and multi-sided platforms create value through user data and interactions
rather than direct consumption.
- Digital infrastructure and technologies embedded in other industries boost productivity in ways
not fully captured by standard deflators.
- Own-use production of digital content and sharing economies contribute to well-being outside
the production boundary.
At the same time, cross-border data flows complicate assignment of online activities' location for
GDP territoriality principles. Accurately measuring digital industries thus requires supplemental
techniques beyond traditional production/expenditure approaches.
Defining "Digital GDP"
To address these challenges, statistical agencies are developing "digital economy satellite
accounts" (DESA) benchmarked to the SNA but with alternative output valuation methods.
These compile a "digital GDP" total by capturing value from:
- Digital manufacturing using 3D printing/robotics.
- Computer programming/software publishing.
- Telecoms infrastructure operation.
- Data/media streaming platforms through advertising revenue.
- ICT consultancy services boosting organizational efficiency.
- Hardware resale/maintenance supporting digital technologies.
An activity's contribution is included based on its digital dependence even if partly offline. Some
accounts may further estimate consumer surplus to incorporate free online services. While
imperfect, digital GDP thus provides a broader indication of digitization's economic impact.
Empirical Evidence of Digital Industries' Scale
Official digital economy satellite accounts are emerging across countries:
- UK estimates digital industries contributed 7.7% to GDP in 2017, outpacing overall growth by
3%. Software/IT services were largest contributors.
- Canadian data shows core ICT sectors' share rose from 3.8% to 5.6% of GDP 2006-2018.
Digital media/entertainment also expanded.
- Singapore reported digitally-intensive activities contributed 20.9% to GDP in 2017 with
infocomm technology the single largest industry.
- Eurostat estimates the EU digital sector added 3.9% to GDP in 2017 led by computer
programming activities.
Private sector analyses also highlight digital value not fully captured:
- Stock market valuations imply 35-40% of S&P 500 firm value now derived digitally versus 20%
a decade ago.
- Customer experience platforms alone may contribute 2% of US GDP uncounted according to
an Accenture study.
While metrics vary in scope and definitions, evidence clearly shows digital industries and
technologies play an increasingly prominent, albeit understated, role in modern economies at
both national and firm levels. Developing accounting best-practices remains crucial.
Implications for Monetary and Fiscal Policy
The very nature of digital value creation poses challenges for macroeconomic policymaking
reliant on GDP:
- Statistics excluding the scale of digital may distortingly understate aggregate
output/productivity trends used for forecasting.
- Intangible/free online services also likely contribute significantly to consumer price inflation left
unmeasured by traditional deflators.
- Cross-border data flows enable tax base erosion concerns if the location of digital business is
ambiguous in national accounts.
- Infrastructure investment needs may be underestimated if productivity impacts across the
whole economy are obscured.
Accurate assessment of such issues requires policymakers to utilize estimates of digital GDP,
while also exploring supplementary indicators like adjusted price indices incorporating online
consumer behavior. More holistic data will help ensure appropriate fiscal/monetary stances
facilitating innovation.
Conclusion and Future Research Needs
In summary, while GDP remains a fundamental statistic, its ability to fully characterize modern,
data-driven economies has limitations that supplemental digital economy metrics can help
address. Empirically, the scale of digital industries, technologies and business models already
underscores their macroeconomic relevance, albeit understated.
Moving ahead, statistical priorities include standardizing digital satellite account methodologies
for cross-country comparisons and tracking data/intangible asset production across system
boundaries. Coordinated international work is underway through the UN, OECD and national
statistical agencies to evolve frameworks appropriately capturing digital value.
Areas meriting future research also encompass refining output deflators, industry classifications,
location allocation principles for digital cross-border activities and welfare implications of own-
use digital services. There is also scope to explore links between investment in digital
infrastructure, skills and multi-factor productivity at both macro and firm levels.
As technological change accelerates, continuously enhancing national accounting to reflect
economic realities will remain indispensable. Supplementing GDP with digital economy metrics
today helps provide more robust background for navigating associated challenges and
harnessing opportunities of ongoing digitization. An evidence-based understanding of true
contributions remains key to sound policymaking in the 21st century.
The increasing digitization of economies worldwide presents both opportunities and challenges
for assessing national economic performance using traditional GDP measures. The value
generated from digital activities and assets involves both tangible and intangible outputs that are
often hard to precisely capture within GDP boundaries. At the same time, digital technologies
have broader impacts across industries through productivity gains and new business models
that again are difficult for standard national accounts to fully reflect.
This paper examines the implications of digital economies for GDP accounting and aims to shed
light on ongoing efforts to enhance national measurement frameworks to keep pace. The
emergence of "digital GDP" statistics is discussed as a supplementary approach to gain a fuller
picture of modern output. Case studies provide empirical insights on the economic significance
of digital industries. The conclusion reflects on implications and remaining gaps that future
research can help address.
Conceptual Framework
The System of National Accounts (SNA) was designed based on the production of physical
goods and services transacted through monetary markets. However, the digital economy
involves several non-SNA outputs:
- Free digital services from social platforms, search engines etc. provide utility without market
transactions.
- Network effects and multi-sided platforms create value through user data and interactions
rather than direct consumption.
- Digital infrastructure and technologies embedded in other industries boost productivity in ways
not fully captured by standard deflators.
- Own-use production of digital content and sharing economies contribute to well-being outside
the production boundary.
At the same time, cross-border data flows complicate assignment of online activities' location for
GDP territoriality principles. Accurately measuring digital industries thus requires supplemental
techniques beyond traditional production/expenditure approaches.
Defining "Digital GDP"
To address these challenges, statistical agencies are developing "digital economy satellite
accounts" (DESA) benchmarked to the SNA but with alternative output valuation methods.
These compile a "digital GDP" total by capturing value from:
- Digital manufacturing using 3D printing/robotics.
- Computer programming/software publishing.
- Telecoms infrastructure operation.
- Data/media streaming platforms through advertising revenue.
- ICT consultancy services boosting organizational efficiency.
- Hardware resale/maintenance supporting digital technologies.
An activity's contribution is included based on its digital dependence even if partly offline. Some
accounts may further estimate consumer surplus to incorporate free online services. While
imperfect, digital GDP thus provides a broader indication of digitization's economic impact.
Empirical Evidence of Digital Industries' Scale
Official digital economy satellite accounts are emerging across countries:
- UK estimates digital industries contributed 7.7% to GDP in 2017, outpacing overall growth by
3%. Software/IT services were largest contributors.
- Canadian data shows core ICT sectors' share rose from 3.8% to 5.6% of GDP 2006-2018.
Digital media/entertainment also expanded.
- Singapore reported digitally-intensive activities contributed 20.9% to GDP in 2017 with
infocomm technology the single largest industry.
- Eurostat estimates the EU digital sector added 3.9% to GDP in 2017 led by computer
programming activities.
Private sector analyses also highlight digital value not fully captured:
- Stock market valuations imply 35-40% of S&P 500 firm value now derived digitally versus 20%
a decade ago.
- Customer experience platforms alone may contribute 2% of US GDP uncounted according to
an Accenture study.
While metrics vary in scope and definitions, evidence clearly shows digital industries and
technologies play an increasingly prominent, albeit understated, role in modern economies at
both national and firm levels. Developing accounting best-practices remains crucial.
Implications for Monetary and Fiscal Policy
The very nature of digital value creation poses challenges for macroeconomic policymaking
reliant on GDP:
- Statistics excluding the scale of digital may distortingly understate aggregate
output/productivity trends used for forecasting.
- Intangible/free online services also likely contribute significantly to consumer price inflation left
unmeasured by traditional deflators.
- Cross-border data flows enable tax base erosion concerns if the location of digital business is
ambiguous in national accounts.
- Infrastructure investment needs may be underestimated if productivity impacts across the
whole economy are obscured.
Accurate assessment of such issues requires policymakers to utilize estimates of digital GDP,
while also exploring supplementary indicators like adjusted price indices incorporating online
consumer behavior. More holistic data will help ensure appropriate fiscal/monetary stances
facilitating innovation.
Conclusion and Future Research Needs
In summary, while GDP remains a fundamental statistic, its ability to fully characterize modern,
data-driven economies has limitations that supplemental digital economy metrics can help
address. Empirically, the scale of digital industries, technologies and business models already
underscores their macroeconomic relevance, albeit understated.
Moving ahead, statistical priorities include standardizing digital satellite account methodologies
for cross-country comparisons and tracking data/intangible asset production across system
boundaries. Coordinated international work is underway through the UN, OECD and national
statistical agencies to evolve frameworks appropriately capturing digital value.
Areas meriting future research also encompass refining output deflators, industry classifications,
location allocation principles for digital cross-border activities and welfare implications of own-
use digital services. There is also scope to explore links between investment in digital
infrastructure, skills and multi-factor productivity at both macro and firm levels.
As technological change accelerates, continuously enhancing national accounting to reflect
economic realities will remain indispensable. Supplementing GDP with digital economy metrics
today helps provide more robust background for navigating associated challenges and
harnessing opportunities of ongoing digitization. An evidence-based understanding of true
contributions remains key to sound policymaking in the 21st century.
The increasing digitization of economies worldwide presents both opportunities and challenges
for assessing national economic performance using traditional GDP measures. The value
generated from digital activities and assets involves both tangible and intangible outputs that are
often hard to precisely capture within GDP boundaries. At the same time, digital technologies
have broader impacts across industries through productivity gains and new business models
that again are difficult for standard national accounts to fully reflect.
This paper examines the implications of digital economies for GDP accounting and aims to shed
light on ongoing efforts to enhance national measurement frameworks to keep pace. The
emergence of "digital GDP" statistics is discussed as a supplementary approach to gain a fuller
picture of modern output. Case studies provide empirical insights on the economic significance
of digital industries. The conclusion reflects on implications and remaining gaps that future
research can help address.
Conceptual Framework
The System of National Accounts (SNA) was designed based on the production of physical
goods and services transacted through monetary markets. However, the digital economy
involves several non-SNA outputs:
- Free digital services from social platforms, search engines etc. provide utility without market
transactions.
- Network effects and multi-sided platforms create value through user data and interactions
rather than direct consumption.
- Digital infrastructure and technologies embedded in other industries boost productivity in ways
not fully captured by standard deflators.
- Own-use production of digital content and sharing economies contribute to well-being outside
the production boundary.
At the same time, cross-border data flows complicate assignment of online activities' location for
GDP territoriality principles. Accurately measuring digital industries thus requires supplemental
techniques beyond traditional production/expenditure approaches.
Defining "Digital GDP"
To address these challenges, statistical agencies are developing "digital economy satellite
accounts" (DESA) benchmarked to the SNA but with alternative output valuation methods.
These compile a "digital GDP" total by capturing value from:
- Digital manufacturing using 3D printing/robotics.
- Computer programming/software publishing.
- Telecoms infrastructure operation.
- Data/media streaming platforms through advertising revenue.
- ICT consultancy services boosting organizational efficiency.
- Hardware resale/maintenance supporting digital technologies.
An activity's contribution is included based on its digital dependence even if partly offline. Some
accounts may further estimate consumer surplus to incorporate free online services. While
imperfect, digital GDP thus provides a broader indication of digitization's economic impact.
Empirical Evidence of Digital Industries' Scale
Official digital economy satellite accounts are emerging across countries:
- UK estimates digital industries contributed 7.7% to GDP in 2017, outpacing overall growth by
3%. Software/IT services were largest contributors.
- Canadian data shows core ICT sectors' share rose from 3.8% to 5.6% of GDP 2006-2018.
Digital media/entertainment also expanded.
- Singapore reported digitally-intensive activities contributed 20.9% to GDP in 2017 with
infocomm technology the single largest industry.
- Eurostat estimates the EU digital sector added 3.9% to GDP in 2017 led by computer
programming activities.
Private sector analyses also highlight digital value not fully captured:
- Stock market valuations imply 35-40% of S&P 500 firm value now derived digitally versus 20%
a decade ago.
- Customer experience platforms alone may contribute 2% of US GDP uncounted according to
an Accenture study.
While metrics vary in scope and definitions, evidence clearly shows digital industries and
technologies play an increasingly prominent, albeit understated, role in modern economies at
both national and firm levels. Developing accounting best-practices remains crucial.
Implications for Monetary and Fiscal Policy
The very nature of digital value creation poses challenges for macroeconomic policymaking
reliant on GDP:
- Statistics excluding the scale of digital may distortingly understate aggregate
output/productivity trends used for forecasting.
- Intangible/free online services also likely contribute significantly to consumer price inflation left
unmeasured by traditional deflators.
- Cross-border data flows enable tax base erosion concerns if the location of digital business is
ambiguous in national accounts.
- Infrastructure investment needs may be underestimated if productivity impacts across the
whole economy are obscured.
Accurate assessment of such issues requires policymakers to utilize estimates of digital GDP,
while also exploring supplementary indicators like adjusted price indices incorporating online
consumer behavior. More holistic data will help ensure appropriate fiscal/monetary stances
facilitating innovation.
Conclusion and Future Research Needs
In summary, while GDP remains a fundamental statistic, its ability to fully characterize modern,
data-driven economies has limitations that supplemental digital economy metrics can help
address. Empirically, the scale of digital industries, technologies and business models already
underscores their macroeconomic relevance, albeit understated.
Moving ahead, statistical priorities include standardizing digital satellite account methodologies
for cross-country comparisons and tracking data/intangible asset production across system
boundaries. Coordinated international work is underway through the UN, OECD and national
statistical agencies to evolve frameworks appropriately capturing digital value.
Areas meriting future research also encompass refining output deflators, industry classifications,
location allocation principles for digital cross-border activities and welfare implications of own-
use digital services. There is also scope to explore links between investment in digital
infrastructure, skills and multi-factor productivity at both macro and firm levels.
As technological change accelerates, continuously enhancing national accounting to reflect
economic realities will remain indispensable. Supplementing GDP with digital economy metrics
today helps provide more robust background for navigating associated challenges and
harnessing opportunities of ongoing digitization. An evidence-based understanding of true
contributions remains key to sound policymaking in the 21st century.
The increasing digitization of economies worldwide presents both opportunities and challenges
for assessing national economic performance using traditional GDP measures. The value
generated from digital activities and assets involves both tangible and intangible outputs that are
often hard to precisely capture within GDP boundaries. At the same time, digital technologies
have broader impacts across industries through productivity gains and new business models
that again are difficult for standard national accounts to fully reflect.
This paper examines the implications of digital economies for GDP accounting and aims to shed
light on ongoing efforts to enhance national measurement frameworks to keep pace. The
emergence of "digital GDP" statistics is discussed as a supplementary approach to gain a fuller
picture of modern output. Case studies provide empirical insights on the economic significance
of digital industries. The conclusion reflects on implications and remaining gaps that future
research can help address.
Conceptual Framework
The System of National Accounts (SNA) was designed based on the production of physical
goods and services transacted through monetary markets. However, the digital economy
involves several non-SNA outputs:
- Free digital services from social platforms, search engines etc. provide utility without market
transactions.
- Network effects and multi-sided platforms create value through user data and interactions
rather than direct consumption.
- Digital infrastructure and technologies embedded in other industries boost productivity in ways
not fully captured by standard deflators.
- Own-use production of digital content and sharing economies contribute to well-being outside
the production boundary.
At the same time, cross-border data flows complicate assignment of online activities' location for
GDP territoriality principles. Accurately measuring digital industries thus requires supplemental
techniques beyond traditional production/expenditure approaches.
Defining "Digital GDP"
To address these challenges, statistical agencies are developing "digital economy satellite
accounts" (DESA) benchmarked to the SNA but with alternative output valuation methods.
These compile a "digital GDP" total by capturing value from:
- Digital manufacturing using 3D printing/robotics.
- Computer programming/software publishing.
- Telecoms infrastructure operation.
- Data/media streaming platforms through advertising revenue.
- ICT consultancy services boosting organizational efficiency.
- Hardware resale/maintenance supporting digital technologies.
An activity's contribution is included based on its digital dependence even if partly offline. Some
accounts may further estimate consumer surplus to incorporate free online services. While
imperfect, digital GDP thus provides a broader indication of digitization's economic impact.
Empirical Evidence of Digital Industries' Scale
Official digital economy satellite accounts are emerging across countries:
- UK estimates digital industries contributed 7.7% to GDP in 2017, outpacing overall growth by
3%. Software/IT services were largest contributors.
- Canadian data shows core ICT sectors' share rose from 3.8% to 5.6% of GDP 2006-2018.
Digital media/entertainment also expanded.
- Singapore reported digitally-intensive activities contributed 20.9% to GDP in 2017 with
infocomm technology the single largest industry.
- Eurostat estimates the EU digital sector added 3.9% to GDP in 2017 led by computer
programming activities.
Private sector analyses also highlight digital value not fully captured:
- Stock market valuations imply 35-40% of S&P 500 firm value now derived digitally versus 20%
a decade ago.
- Customer experience platforms alone may contribute 2% of US GDP uncounted according to
an Accenture study.
While metrics vary in scope and definitions, evidence clearly shows digital industries and
technologies play an increasingly prominent, albeit understated, role in modern economies at
both national and firm levels. Developing accounting best-practices remains crucial.
Implications for Monetary and Fiscal Policy
The very nature of digital value creation poses challenges for macroeconomic policymaking
reliant on GDP:
- Statistics excluding the scale of digital may distortingly understate aggregate
output/productivity trends used for forecasting.
- Intangible/free online services also likely contribute significantly to consumer price inflation left
unmeasured by traditional deflators.
- Cross-border data flows enable tax base erosion concerns if the location of digital business is
ambiguous in national accounts.
- Infrastructure investment needs may be underestimated if productivity impacts across the
whole economy are obscured.
Accurate assessment of such issues requires policymakers to utilize estimates of digital GDP,
while also exploring supplementary indicators like adjusted price indices incorporating online
consumer behavior. More holistic data will help ensure appropriate fiscal/monetary stances
facilitating innovation.
Conclusion and Future Research Needs
In summary, while GDP remains a fundamental statistic, its ability to fully characterize modern,
data-driven economies has limitations that supplemental digital economy metrics can help
address. Empirically, the scale of digital industries, technologies and business models already
underscores their macroeconomic relevance, albeit understated.
Moving ahead, statistical priorities include standardizing digital satellite account methodologies
for cross-country comparisons and tracking data/intangible asset production across system
boundaries. Coordinated international work is underway through the UN, OECD and national
statistical agencies to evolve frameworks appropriately capturing digital value.
Areas meriting future research also encompass refining output deflators, industry classifications,
location allocation principles for digital cross-border activities and welfare implications of own-
use digital services. There is also scope to explore links between investment in digital
infrastructure, skills and multi-factor productivity at both macro and firm levels.
As technological change accelerates, continuously enhancing national accounting to reflect
economic realities will remain indispensable. Supplementing GDP with digital economy metrics
today helps provide more robust background for navigating associated challenges and
harnessing opportunities of ongoing digitization. An evidence-based understanding of true
contributions remains key to sound policymaking in the 21st century.
The increasing digitization of economies worldwide presents both opportunities and challenges
for assessing national economic performance using traditional GDP measures. The value
generated from digital activities and assets involves both tangible and intangible outputs that are
often hard to precisely capture within GDP boundaries. At the same time, digital technologies
have broader impacts across industries through productivity gains and new business models
that again are difficult for standard national accounts to fully reflect.
This paper examines the implications of digital economies for GDP accounting and aims to shed
light on ongoing efforts to enhance national measurement frameworks to keep pace. The
emergence of "digital GDP" statistics is discussed as a supplementary approach to gain a fuller
picture of modern output. Case studies provide empirical insights on the economic significance
of digital industries. The conclusion reflects on implications and remaining gaps that future
research can help address.
Conceptual Framework
The System of National Accounts (SNA) was designed based on the production of physical
goods and services transacted through monetary markets. However, the digital economy
involves several non-SNA outputs:
- Free digital services from social platforms, search engines etc. provide utility without market
transactions.
- Network effects and multi-sided platforms create value through user data and interactions
rather than direct consumption.
- Digital infrastructure and technologies embedded in other industries boost productivity in ways
not fully captured by standard deflators.
- Own-use production of digital content and sharing economies contribute to well-being outside
the production boundary.
At the same time, cross-border data flows complicate assignment of online activities' location for
GDP territoriality principles. Accurately measuring digital industries thus requires supplemental
techniques beyond traditional production/expenditure approaches.
Defining "Digital GDP"
To address these challenges, statistical agencies are developing "digital economy satellite
accounts" (DESA) benchmarked to the SNA but with alternative output valuation methods.
These compile a "digital GDP" total by capturing value from:
- Digital manufacturing using 3D printing/robotics.
- Computer programming/software publishing.
- Telecoms infrastructure operation.
- Data/media streaming platforms through advertising revenue.
- ICT consultancy services boosting organizational efficiency.
- Hardware resale/maintenance supporting digital technologies.
An activity's contribution is included based on its digital dependence even if partly offline. Some
accounts may further estimate consumer surplus to incorporate free online services. While
imperfect, digital GDP thus provides a broader indication of digitization's economic impact.
Empirical Evidence of Digital Industries' Scale
Official digital economy satellite accounts are emerging across countries:
- UK estimates digital industries contributed 7.7% to GDP in 2017, outpacing overall growth by
3%. Software/IT services were largest contributors.
- Canadian data shows core ICT sectors' share rose from 3.8% to 5.6% of GDP 2006-2018.
Digital media/entertainment also expanded.
- Singapore reported digitally-intensive activities contributed 20.9% to GDP in 2017 with
infocomm technology the single largest industry.
- Eurostat estimates the EU digital sector added 3.9% to GDP in 2017 led by computer
programming activities.
Private sector analyses also highlight digital value not fully captured:
- Stock market valuations imply 35-40% of S&P 500 firm value now derived digitally versus 20%
a decade ago.
- Customer experience platforms alone may contribute 2% of US GDP uncounted according to
an Accenture study.
While metrics vary in scope and definitions, evidence clearly shows digital industries and
technologies play an increasingly prominent, albeit understated, role in modern economies at
both national and firm levels. Developing accounting best-practices remains crucial.
Implications for Monetary and Fiscal Policy
The very nature of digital value creation poses challenges for macroeconomic policymaking
reliant on GDP:
- Statistics excluding the scale of digital may distortingly understate aggregate
output/productivity trends used for forecasting.
- Intangible/free online services also likely contribute significantly to consumer price inflation left
unmeasured by traditional deflators.
- Cross-border data flows enable tax base erosion concerns if the location of digital business is
ambiguous in national accounts.
- Infrastructure investment needs may be underestimated if productivity impacts across the
whole economy are obscured.
Accurate assessment of such issues requires policymakers to utilize estimates of digital GDP,
while also exploring supplementary indicators like adjusted price indices incorporating online
consumer behavior. More holistic data will help ensure appropriate fiscal/monetary stances
facilitating innovation.
Conclusion and Future Research Needs
In summary, while GDP remains a fundamental statistic, its ability to fully characterize modern,
data-driven economies has limitations that supplemental digital economy metrics can help
address. Empirically, the scale of digital industries, technologies and business models already
underscores their macroeconomic relevance, albeit understated.
Moving ahead, statistical priorities include standardizing digital satellite account methodologies
for cross-country comparisons and tracking data/intangible asset production across system
boundaries. Coordinated international work is underway through the UN, OECD and national
statistical agencies to evolve frameworks appropriately capturing digital value.
Areas meriting future research also encompass refining output deflators, industry classifications,
location allocation principles for digital cross-border activities and welfare implications of own-
use digital services. There is also scope to explore links between investment in digital
infrastructure, skills and multi-factor productivity at both macro and firm levels.
As technological change accelerates, continuously enhancing national accounting to reflect
economic realities will remain indispensable. Supplementing GDP with digital economy metrics
today helps provide more robust background for navigating associated challenges and
harnessing opportunities of ongoing digitization. An evidence-based understanding of true
contributions remains key to sound policymaking in the 21st century.
The increasing digitization of economies worldwide presents both opportunities and challenges
for assessing national economic performance using traditional GDP measures. The value
generated from digital activities and assets involves both tangible and intangible outputs that are
often hard to precisely capture within GDP boundaries. At the same time, digital technologies
have broader impacts across industries through productivity gains and new business models
that again are difficult for standard national accounts to fully reflect.
This paper examines the implications of digital economies for GDP accounting and aims to shed
light on ongoing efforts to enhance national measurement frameworks to keep pace. The
emergence of "digital GDP" statistics is discussed as a supplementary approach to gain a fuller
picture of modern output. Case studies provide empirical insights on the economic significance
of digital industries. The conclusion reflects on implications and remaining gaps that future
research can help address.
Conceptual Framework
The System of National Accounts (SNA) was designed based on the production of physical
goods and services transacted through monetary markets. However, the digital economy
involves several non-SNA outputs:
- Free digital services from social platforms, search engines etc. provide utility without market
transactions.
- Network effects and multi-sided platforms create value through user data and interactions
rather than direct consumption.
- Digital infrastructure and technologies embedded in other industries boost productivity in ways
not fully captured by standard deflators.
- Own-use production of digital content and sharing economies contribute to well-being outside
the production boundary.
At the same time, cross-border data flows complicate assignment of online activities' location for
GDP territoriality principles. Accurately measuring digital industries thus requires supplemental
techniques beyond traditional production/expenditure approaches.
Defining "Digital GDP"
To address these challenges, statistical agencies are developing "digital economy satellite
accounts" (DESA) benchmarked to the SNA but with alternative output valuation methods.
These compile a "digital GDP" total by capturing value from:
- Digital manufacturing using 3D printing/robotics.
- Computer programming/software publishing.
- Telecoms infrastructure operation.
- Data/media streaming platforms through advertising revenue.
- ICT consultancy services boosting organizational efficiency.
- Hardware resale/maintenance supporting digital technologies.
An activity's contribution is included based on its digital dependence even if partly offline. Some
accounts may further estimate consumer surplus to incorporate free online services. While
imperfect, digital GDP thus provides a broader indication of digitization's economic impact.
Empirical Evidence of Digital Industries' Scale
Official digital economy satellite accounts are emerging across countries:
- UK estimates digital industries contributed 7.7% to GDP in 2017, outpacing overall growth by
3%. Software/IT services were largest contributors.
- Canadian data shows core ICT sectors' share rose from 3.8% to 5.6% of GDP 2006-2018.
Digital media/entertainment also expanded.
- Singapore reported digitally-intensive activities contributed 20.9% to GDP in 2017 with
infocomm technology the single largest industry.
- Eurostat estimates the EU digital sector added 3.9% to GDP in 2017 led by computer
programming activities.
Private sector analyses also highlight digital value not fully captured:
- Stock market valuations imply 35-40% of S&P 500 firm value now derived digitally versus 20%
a decade ago.
- Customer experience platforms alone may contribute 2% of US GDP uncounted according to
an Accenture study.
While metrics vary in scope and definitions, evidence clearly shows digital industries and
technologies play an increasingly prominent, albeit understated, role in modern economies at
both national and firm levels. Developing accounting best-practices remains crucial.
Implications for Monetary and Fiscal Policy
The very nature of digital value creation poses challenges for macroeconomic policymaking
reliant on GDP:
- Statistics excluding the scale of digital may distortingly understate aggregate
output/productivity trends used for forecasting.
- Intangible/free online services also likely contribute significantly to consumer price inflation left
unmeasured by traditional deflators.
- Cross-border data flows enable tax base erosion concerns if the location of digital business is
ambiguous in national accounts.
- Infrastructure investment needs may be underestimated if productivity impacts across the
whole economy are obscured.
Accurate assessment of such issues requires policymakers to utilize estimates of digital GDP,
while also exploring supplementary indicators like adjusted price indices incorporating online
consumer behavior. More holistic data will help ensure appropriate fiscal/monetary stances
facilitating innovation.
Conclusion and Future Research Needs
In summary, while GDP remains a fundamental statistic, its ability to fully characterize modern,
data-driven economies has limitations that supplemental digital economy metrics can help
address. Empirically, the scale of digital industries, technologies and business models already
underscores their macroeconomic relevance, albeit understated.
Moving ahead, statistical priorities include standardizing digital satellite account methodologies
for cross-country comparisons and tracking data/intangible asset production across system
boundaries. Coordinated international work is underway through the UN, OECD and national
statistical agencies to evolve frameworks appropriately capturing digital value.
Areas meriting future research also encompass refining output deflators, industry classifications,
location allocation principles for digital cross-border activities and welfare implications of own-
use digital services. There is also scope to explore links between investment in digital
infrastructure, skills and multi-factor productivity at both macro and firm levels.
As technological change accelerates, continuously enhancing national accounting to reflect
economic realities will remain indispensable. Supplementing GDP with digital economy metrics
today helps provide more robust background for navigating associated challenges and
harnessing opportunities of ongoing digitization. An evidence-based understanding of true
contributions remains key to sound policymaking in the 21st century.
The increasing digitization of economies worldwide presents both opportunities and challenges
for assessing national economic performance using traditional GDP measures. The value
generated from digital activities and assets involves both tangible and intangible outputs that are
often hard to precisely capture within GDP boundaries. At the same time, digital technologies
have broader impacts across industries through productivity gains and new business models
that again are difficult for standard national accounts to fully reflect.
This paper examines the implications of digital economies for GDP accounting and aims to shed
light on ongoing efforts to enhance national measurement frameworks to keep pace. The
emergence of "digital GDP" statistics is discussed as a supplementary approach to gain a fuller
picture of modern output. Case studies provide empirical insights on the economic significance
of digital industries. The conclusion reflects on implications and remaining gaps that future
research can help address.
Conceptual Framework
The System of National Accounts (SNA) was designed based on the production of physical
goods and services transacted through monetary markets. However, the digital economy
involves several non-SNA outputs:
- Free digital services from social platforms, search engines etc. provide utility without market
transactions.
- Network effects and multi-sided platforms create value through user data and interactions
rather than direct consumption.
- Digital infrastructure and technologies embedded in other industries boost productivity in ways
not fully captured by standard deflators.
- Own-use production of digital content and sharing economies contribute to well-being outside
the production boundary.
At the same time, cross-border data flows complicate assignment of online activities' location for
GDP territoriality principles. Accurately measuring digital industries thus requires supplemental
techniques beyond traditional production/expenditure approaches.
Defining "Digital GDP"
To address these challenges, statistical agencies are developing "digital economy satellite
accounts" (DESA) benchmarked to the SNA but with alternative output valuation methods.
These compile a "digital GDP" total by capturing value from:
- Digital manufacturing using 3D printing/robotics.
- Computer programming/software publishing.
- Telecoms infrastructure operation.
- Data/media streaming platforms through advertising revenue.
- ICT consultancy services boosting organizational efficiency.
- Hardware resale/maintenance supporting digital technologies.
An activity's contribution is included based on its digital dependence even if partly offline. Some
accounts may further estimate consumer surplus to incorporate free online services. While
imperfect, digital GDP thus provides a broader indication of digitization's economic impact.
Empirical Evidence of Digital Industries' Scale
Official digital economy satellite accounts are emerging across countries:
- UK estimates digital industries contributed 7.7% to GDP in 2017, outpacing overall growth by
3%. Software/IT services were largest contributors.
- Canadian data shows core ICT sectors' share rose from 3.8% to 5.6% of GDP 2006-2018.
Digital media/entertainment also expanded.
- Singapore reported digitally-intensive activities contributed 20.9% to GDP in 2017 with
infocomm technology the single largest industry.
- Eurostat estimates the EU digital sector added 3.9% to GDP in 2017 led by computer
programming activities.
Private sector analyses also highlight digital value not fully captured:
- Stock market valuations imply 35-40% of S&P 500 firm value now derived digitally versus 20%
a decade ago.
- Customer experience platforms alone may contribute 2% of US GDP uncounted according to
an Accenture study.
While metrics vary in scope and definitions, evidence clearly shows digital industries and
technologies play an increasingly prominent, albeit understated, role in modern economies at
both national and firm levels. Developing accounting best-practices remains crucial.
Implications for Monetary and Fiscal Policy
The very nature of digital value creation poses challenges for macroeconomic policymaking
reliant on GDP:
- Statistics excluding the scale of digital may distortingly understate aggregate
output/productivity trends used for forecasting.
- Intangible/free online services also likely contribute significantly to consumer price inflation left
unmeasured by traditional deflators.
- Cross-border data flows enable tax base erosion concerns if the location of digital business is
ambiguous in national accounts.
- Infrastructure investment needs may be underestimated if productivity impacts across the
whole economy are obscured.
Accurate assessment of such issues requires policymakers to utilize estimates of digital GDP,
while also exploring supplementary indicators like adjusted price indices incorporating online
consumer behavior. More holistic data will help ensure appropriate fiscal/monetary stances
facilitating innovation.
Conclusion and Future Research Needs
In summary, while GDP remains a fundamental statistic, its ability to fully characterize modern,
data-driven economies has limitations that supplemental digital economy metrics can help
address. Empirically, the scale of digital industries, technologies and business models already
underscores their macroeconomic relevance, albeit understated.
Moving ahead, statistical priorities include standardizing digital satellite account methodologies
for cross-country comparisons and tracking data/intangible asset production across system
boundaries. Coordinated international work is underway through the UN, OECD and national
statistical agencies to evolve frameworks appropriately capturing digital value.
Areas meriting future research also encompass refining output deflators, industry classifications,
location allocation principles for digital cross-border activities and welfare implications of own-
use digital services. There is also scope to explore links between investment in digital
infrastructure, skills and multi-factor productivity at both macro and firm levels.
As technological change accelerates, continuously enhancing national accounting to reflect
economic realities will remain indispensable. Supplementing GDP with digital economy metrics
today helps provide more robust background for navigating associated challenges and
harnessing opportunities of ongoing digitization. An evidence-based understanding of true
contributions remains key to sound policymaking in the 21st century.
The increasing digitization of economies worldwide presents both opportunities and challenges
for assessing national economic performance using traditional GDP measures. The value
generated from digital activities and assets involves both tangible and intangible outputs that are
often hard to precisely capture within GDP boundaries. At the same time, digital technologies
have broader impacts across industries through productivity gains and new business models
that again are difficult for standard national accounts to fully reflect.
This paper examines the implications of digital economies for GDP accounting and aims to shed
light on ongoing efforts to enhance national measurement frameworks to keep pace. The
emergence of "digital GDP" statistics is discussed as a supplementary approach to gain a fuller
picture of modern output. Case studies provide empirical insights on the economic significance
of digital industries. The conclusion reflects on implications and remaining gaps that future
research can help address.
Conceptual Framework
The System of National Accounts (SNA) was designed based on the production of physical
goods and services transacted through monetary markets. However, the digital economy
involves several non-SNA outputs:
- Free digital services from social platforms, search engines etc. provide utility without market
transactions.
- Network effects and multi-sided platforms create value through user data and interactions
rather than direct consumption.
- Digital infrastructure and technologies embedded in other industries boost productivity in ways
not fully captured by standard deflators.
- Own-use production of digital content and sharing economies contribute to well-being outside
the production boundary.
At the same time, cross-border data flows complicate assignment of online activities' location for
GDP territoriality principles. Accurately measuring digital industries thus requires supplemental
techniques beyond traditional production/expenditure approaches.
Defining "Digital GDP"
To address these challenges, statistical agencies are developing "digital economy satellite
accounts" (DESA) benchmarked to the SNA but with alternative output valuation methods.
These compile a "digital GDP" total by capturing value from:
- Digital manufacturing using 3D printing/robotics.
- Computer programming/software publishing.
- Telecoms infrastructure operation.
- Data/media streaming platforms through advertising revenue.
- ICT consultancy services boosting organizational efficiency.
- Hardware resale/maintenance supporting digital technologies.
An activity's contribution is included based on its digital dependence even if partly offline. Some
accounts may further estimate consumer surplus to incorporate free online services. While
imperfect, digital GDP thus provides a broader indication of digitization's economic impact.
Empirical Evidence of Digital Industries' Scale
Official digital economy satellite accounts are emerging across countries:
- UK estimates digital industries contributed 7.7% to GDP in 2017, outpacing overall growth by
3%. Software/IT services were largest contributors.
- Canadian data shows core ICT sectors' share rose from 3.8% to 5.6% of GDP 2006-2018.
Digital media/entertainment also expanded.
- Singapore reported digitally-intensive activities contributed 20.9% to GDP in 2017 with
infocomm technology the single largest industry.
- Eurostat estimates the EU digital sector added 3.9% to GDP in 2017 led by computer
programming activities.
Private sector analyses also highlight digital value not fully captured:
- Stock market valuations imply 35-40% of S&P 500 firm value now derived digitally versus 20%
a decade ago.
- Customer experience platforms alone may contribute 2% of US GDP uncounted according to
an Accenture study.
While metrics vary in scope and definitions, evidence clearly shows digital industries and
technologies play an increasingly prominent, albeit understated, role in modern economies at
both national and firm levels. Developing accounting best-practices remains crucial.
Implications for Monetary and Fiscal Policy
The very nature of digital value creation poses challenges for macroeconomic policymaking
reliant on GDP:
- Statistics excluding the scale of digital may distortingly understate aggregate
output/productivity trends used for forecasting.
- Intangible/free online services also likely contribute significantly to consumer price inflation left
unmeasured by traditional deflators.
- Cross-border data flows enable tax base erosion concerns if the location of digital business is
ambiguous in national accounts.
- Infrastructure investment needs may be underestimated if productivity impacts across the
whole economy are obscured.
Accurate assessment of such issues requires policymakers to utilize estimates of digital GDP,
while also exploring supplementary indicators like adjusted price indices incorporating online
consumer behavior. More holistic data will help ensure appropriate fiscal/monetary stances
facilitating innovation.
Conclusion and Future Research Needs
In summary, while GDP remains a fundamental statistic, its ability to fully characterize modern,
data-driven economies has limitations that supplemental digital economy metrics can help
address. Empirically, the scale of digital industries, technologies and business models already
underscores their macroeconomic relevance, albeit understated.
Moving ahead, statistical priorities include standardizing digital satellite account methodologies
for cross-country comparisons and tracking data/intangible asset production across system
boundaries. Coordinated international work is underway through the UN, OECD and national
statistical agencies to evolve frameworks appropriately capturing digital value.
Areas meriting future research also encompass refining output deflators, industry classifications,
location allocation principles for digital cross-border activities and welfare implications of own-
use digital services. There is also scope to explore links between investment in digital
infrastructure, skills and multi-factor productivity at both macro and firm levels.
As technological change accelerates, continuously enhancing national accounting to reflect
economic realities will remain indispensable. Supplementing GDP with digital economy metrics
today helps provide more robust background for navigating associated challenges and
harnessing opportunities of ongoing digitization. An evidence-based understanding of true
contributions remains key to sound policymaking in the 21st century.
The increasing digitization of economies worldwide presents both opportunities and challenges
for assessing national economic performance using traditional GDP measures. The value
generated from digital activities and assets involves both tangible and intangible outputs that are
often hard to precisely capture within GDP boundaries. At the same time, digital technologies
have broader impacts across industries through productivity gains and new business models
that again are difficult for standard national accounts to fully reflect.
This paper examines the implications of digital economies for GDP accounting and aims to shed
light on ongoing efforts to enhance national measurement frameworks to keep pace. The
emergence of "digital GDP" statistics is discussed as a supplementary approach to gain a fuller
picture of modern output. Case studies provide empirical insights on the economic significance
of digital industries. The conclusion reflects on implications and remaining gaps that future
research can help address.
Conceptual Framework
The System of National Accounts (SNA) was designed based on the production of physical
goods and services transacted through monetary markets. However, the digital economy
involves several non-SNA outputs:
- Free digital services from social platforms, search engines etc. provide utility without market
transactions.
- Network effects and multi-sided platforms create value through user data and interactions
rather than direct consumption.
- Digital infrastructure and technologies embedded in other industries boost productivity in ways
not fully captured by standard deflators.
- Own-use production of digital content and sharing economies contribute to well-being outside
the production boundary.
At the same time, cross-border data flows complicate assignment of online activities' location for
GDP territoriality principles. Accurately measuring digital industries thus requires supplemental
techniques beyond traditional production/expenditure approaches.
Defining "Digital GDP"
To address these challenges, statistical agencies are developing "digital economy satellite
accounts" (DESA) benchmarked to the SNA but with alternative output valuation methods.
These compile a "digital GDP" total by capturing value from:
- Digital manufacturing using 3D printing/robotics.
- Computer programming/software publishing.
- Telecoms infrastructure operation.
- Data/media streaming platforms through advertising revenue.
- ICT consultancy services boosting organizational efficiency.
- Hardware resale/maintenance supporting digital technologies.
An activity's contribution is included based on its digital dependence even if partly offline. Some
accounts may further estimate consumer surplus to incorporate free online services. While
imperfect, digital GDP thus provides a broader indication of digitization's economic impact.
Empirical Evidence of Digital Industries' Scale
Official digital economy satellite accounts are emerging across countries:
- UK estimates digital industries contributed 7.7% to GDP in 2017, outpacing overall growth by
3%. Software/IT services were largest contributors.
- Canadian data shows core ICT sectors' share rose from 3.8% to 5.6% of GDP 2006-2018.
Digital media/entertainment also expanded.
- Singapore reported digitally-intensive activities contributed 20.9% to GDP in 2017 with
infocomm technology the single largest industry.
- Eurostat estimates the EU digital sector added 3.9% to GDP in 2017 led by computer
programming activities.
Private sector analyses also highlight digital value not fully captured:
- Stock market valuations imply 35-40% of S&P 500 firm value now derived digitally versus 20%
a decade ago.
- Customer experience platforms alone may contribute 2% of US GDP uncounted according to
an Accenture study.
While metrics vary in scope and definitions, evidence clearly shows digital industries and
technologies play an increasingly prominent, albeit understated, role in modern economies at
both national and firm levels. Developing accounting best-practices remains crucial.
Implications for Monetary and Fiscal Policy
The very nature of digital value creation poses challenges for macroeconomic policymaking
reliant on GDP:
- Statistics excluding the scale of digital may distortingly understate aggregate
output/productivity trends used for forecasting.
- Intangible/free online services also likely contribute significantly to consumer price inflation left
unmeasured by traditional deflators.
- Cross-border data flows enable tax base erosion concerns if the location of digital business is
ambiguous in national accounts.
- Infrastructure investment needs may be underestimated if productivity impacts across the
whole economy are obscured.
Accurate assessment of such issues requires policymakers to utilize estimates of digital GDP,
while also exploring supplementary indicators like adjusted price indices incorporating online
consumer behavior. More holistic data will help ensure appropriate fiscal/monetary stances
facilitating innovation.
Conclusion and Future Research Needs
In summary, while GDP remains a fundamental statistic, its ability to fully characterize modern,
data-driven economies has limitations that supplemental digital economy metrics can help
address. Empirically, the scale of digital industries, technologies and business models already
underscores their macroeconomic relevance, albeit understated.
Moving ahead, statistical priorities include standardizing digital satellite account methodologies
for cross-country comparisons and tracking data/intangible asset production across system
boundaries. Coordinated international work is underway through the UN, OECD and national
statistical agencies to evolve frameworks appropriately capturing digital value.
Areas meriting future research also encompass refining output deflators, industry classifications,
location allocation principles for digital cross-border activities and welfare implications of own-
use digital services. There is also scope to explore links between investment in digital
infrastructure, skills and multi-factor productivity at both macro and firm levels.
As technological change accelerates, continuously enhancing national accounting to reflect
economic realities will remain indispensable. Supplementing GDP with digital economy metrics
today helps provide more robust background for navigating associated challenges and
harnessing opportunities of ongoing digitization. An evidence-based understanding of true
contributions remains key to sound policymaking in the 21st century.
The increasing digitization of economies worldwide presents both opportunities and challenges
for assessing national economic performance using traditional GDP measures. The value
generated from digital activities and assets involves both tangible and intangible outputs that are
often hard to precisely capture within GDP boundaries. At the same time, digital technologies
have broader impacts across industries through productivity gains and new business models
that again are difficult for standard national accounts to fully reflect.
This paper examines the implications of digital economies for GDP accounting and aims to shed
light on ongoing efforts to enhance national measurement frameworks to keep pace. The
emergence of "digital GDP" statistics is discussed as a supplementary approach to gain a fuller
picture of modern output. Case studies provide empirical insights on the economic significance
of digital industries. The conclusion reflects on implications and remaining gaps that future
research can help address.
Conceptual Framework
The System of National Accounts (SNA) was designed based on the production of physical
goods and services transacted through monetary markets. However, the digital economy
involves several non-SNA outputs:
- Free digital services from social platforms, search engines etc. provide utility without market
transactions.
- Network effects and multi-sided platforms create value through user data and interactions
rather than direct consumption.
- Digital infrastructure and technologies embedded in other industries boost productivity in ways
not fully captured by standard deflators.
- Own-use production of digital content and sharing economies contribute to well-being outside
the production boundary.
At the same time, cross-border data flows complicate assignment of online activities' location for
GDP territoriality principles. Accurately measuring digital industries thus requires supplemental
techniques beyond traditional production/expenditure approaches.
Defining "Digital GDP"
To address these challenges, statistical agencies are developing "digital economy satellite
accounts" (DESA) benchmarked to the SNA but with alternative output valuation methods.
These compile a "digital GDP" total by capturing value from:
- Digital manufacturing using 3D printing/robotics.
- Computer programming/software publishing.
- Telecoms infrastructure operation.
- Data/media streaming platforms through advertising revenue.
- ICT consultancy services boosting organizational efficiency.
- Hardware resale/maintenance supporting digital technologies.
An activity's contribution is included based on its digital dependence even if partly offline. Some
accounts may further estimate consumer surplus to incorporate free online services. While
imperfect, digital GDP thus provides a broader indication of digitization's economic impact.
Empirical Evidence of Digital Industries' Scale
Official digital economy satellite accounts are emerging across countries:
- UK estimates digital industries contributed 7.7% to GDP in 2017, outpacing overall growth by
3%. Software/IT services were largest contributors.
- Canadian data shows core ICT sectors' share rose from 3.8% to 5.6% of GDP 2006-2018.
Digital media/entertainment also expanded.
- Singapore reported digitally-intensive activities contributed 20.9% to GDP in 2017 with
infocomm technology the single largest industry.
- Eurostat estimates the EU digital sector added 3.9% to GDP in 2017 led by computer
programming activities.
Private sector analyses also highlight digital value not fully captured:
- Stock market valuations imply 35-40% of S&P 500 firm value now derived digitally versus 20%
a decade ago.
- Customer experience platforms alone may contribute 2% of US GDP uncounted according to
an Accenture study.
While metrics vary in scope and definitions, evidence clearly shows digital industries and
technologies play an increasingly prominent, albeit understated, role in modern economies at
both national and firm levels. Developing accounting best-practices remains crucial.
Implications for Monetary and Fiscal Policy
The very nature of digital value creation poses challenges for macroeconomic policymaking
reliant on GDP:
- Statistics excluding the scale of digital may distortingly understate aggregate
output/productivity trends used for forecasting.
- Intangible/free online services also likely contribute significantly to consumer price inflation left
unmeasured by traditional deflators.
- Cross-border data flows enable tax base erosion concerns if the location of digital business is
ambiguous in national accounts.
- Infrastructure investment needs may be underestimated if productivity impacts across the
whole economy are obscured.
Accurate assessment of such issues requires policymakers to utilize estimates of digital GDP,
while also exploring supplementary indicators like adjusted price indices incorporating online
consumer behavior. More holistic data will help ensure appropriate fiscal/monetary stances
facilitating innovation.
Conclusion and Future Research Needs
In summary, while GDP remains a fundamental statistic, its ability to fully characterize modern,
data-driven economies has limitations that supplemental digital economy metrics can help
address. Empirically, the scale of digital industries, technologies and business models already
underscores their macroeconomic relevance, albeit understated.
Moving ahead, statistical priorities include standardizing digital satellite account methodologies
for cross-country comparisons and tracking data/intangible asset production across system
boundaries. Coordinated international work is underway through the UN, OECD and national
statistical agencies to evolve frameworks appropriately capturing digital value.
Areas meriting future research also encompass refining output deflators, industry classifications,
location allocation principles for digital cross-border activities and welfare implications of own-
use digital services. There is also scope to explore links between investment in digital
infrastructure, skills and multi-factor productivity at both macro and firm levels.
As technological change accelerates, continuously enhancing national accounting to reflect
economic realities will remain indispensable. Supplementing GDP with digital economy metrics
today helps provide more robust background for navigating associated challenges and
harnessing opportunities of ongoing digitization. An evidence-based understanding of true
contributions remains key to sound policymaking in the 21st century.
The increasing digitization of economies worldwide presents both opportunities and challenges
for assessing national economic performance using traditional GDP measures. The value
generated from digital activities and assets involves both tangible and intangible outputs that are
often hard to precisely capture within GDP boundaries. At the same time, digital technologies
have broader impacts across industries through productivity gains and new business models
that again are difficult for standard national accounts to fully reflect.
This paper examines the implications of digital economies for GDP accounting and aims to shed
light on ongoing efforts to enhance national measurement frameworks to keep pace. The
emergence of "digital GDP" statistics is discussed as a supplementary approach to gain a fuller
picture of modern output. Case studies provide empirical insights on the economic significance
of digital industries. The conclusion reflects on implications and remaining gaps that future
research can help address.
Conceptual Framework
The System of National Accounts (SNA) was designed based on the production of physical
goods and services transacted through monetary markets. However, the digital economy
involves several non-SNA outputs:
- Free digital services from social platforms, search engines etc. provide utility without market
transactions.
- Network effects and multi-sided platforms create value through user data and interactions
rather than direct consumption.
- Digital infrastructure and technologies embedded in other industries boost productivity in ways
not fully captured by standard deflators.
- Own-use production of digital content and sharing economies contribute to well-being outside
the production boundary.
At the same time, cross-border data flows complicate assignment of online activities' location for
GDP territoriality principles. Accurately measuring digital industries thus requires supplemental
techniques beyond traditional production/expenditure approaches.
Defining "Digital GDP"
To address these challenges, statistical agencies are developing "digital economy satellite
accounts" (DESA) benchmarked to the SNA but with alternative output valuation methods.
These compile a "digital GDP" total by capturing value from:
- Digital manufacturing using 3D printing/robotics.
- Computer programming/software publishing.
- Telecoms infrastructure operation.
- Data/media streaming platforms through advertising revenue.
- ICT consultancy services boosting organizational efficiency.
- Hardware resale/maintenance supporting digital technologies.
An activity's contribution is included based on its digital dependence even if partly offline. Some
accounts may further estimate consumer surplus to incorporate free online services. While
imperfect, digital GDP thus provides a broader indication of digitization's economic impact.
Empirical Evidence of Digital Industries' Scale
Official digital economy satellite accounts are emerging across countries:
- UK estimates digital industries contributed 7.7% to GDP in 2017, outpacing overall growth by
3%. Software/IT services were largest contributors.
- Canadian data shows core ICT sectors' share rose from 3.8% to 5.6% of GDP 2006-2018.
Digital media/entertainment also expanded.
- Singapore reported digitally-intensive activities contributed 20.9% to GDP in 2017 with
infocomm technology the single largest industry.
- Eurostat estimates the EU digital sector added 3.9% to GDP in 2017 led by computer
programming activities.
Private sector analyses also highlight digital value not fully captured:
- Stock market valuations imply 35-40% of S&P 500 firm value now derived digitally versus 20%
a decade ago.
- Customer experience platforms alone may contribute 2% of US GDP uncounted according to
an Accenture study.
While metrics vary in scope and definitions, evidence clearly shows digital industries and
technologies play an increasingly prominent, albeit understated, role in modern economies at
both national and firm levels. Developing accounting best-practices remains crucial.
Implications for Monetary and Fiscal Policy
The very nature of digital value creation poses challenges for macroeconomic policymaking
reliant on GDP:
- Statistics excluding the scale of digital may distortingly understate aggregate
output/productivity trends used for forecasting.
- Intangible/free online services also likely contribute significantly to consumer price inflation left
unmeasured by traditional deflators.
- Cross-border data flows enable tax base erosion concerns if the location of digital business is
ambiguous in national accounts.
- Infrastructure investment needs may be underestimated if productivity impacts across the
whole economy are obscured.
Accurate assessment of such issues requires policymakers to utilize estimates of digital GDP,
while also exploring supplementary indicators like adjusted price indices incorporating online
consumer behavior. More holistic data will help ensure appropriate fiscal/monetary stances
facilitating innovation.
Conclusion and Future Research Needs
In summary, while GDP remains a fundamental statistic, its ability to fully characterize modern,
data-driven economies has limitations that supplemental digital economy metrics can help
address. Empirically, the scale of digital industries, technologies and business models already
underscores their macroeconomic relevance, albeit understated.
Moving ahead, statistical priorities include standardizing digital satellite account methodologies
for cross-country comparisons and tracking data/intangible asset production across system
boundaries. Coordinated international work is underway through the UN, OECD and national
statistical agencies to evolve frameworks appropriately capturing digital value.
Areas meriting future research also encompass refining output deflators, industry classifications,
location allocation principles for digital cross-border activities and welfare implications of own-
use digital services. There is also scope to explore links between investment in digital
infrastructure, skills and multi-factor productivity at both macro and firm levels.
As technological change accelerates, continuously enhancing national accounting to reflect
economic realities will remain indispensable. Supplementing GDP with digital economy metrics
today helps provide more robust background for navigating associated challenges and
harnessing opportunities of ongoing digitization. An evidence-based understanding of true
contributions remains key to sound policymaking in the 21st century.
The increasing digitization of economies worldwide presents both opportunities and challenges
for assessing national economic performance using traditional GDP measures. The value
generated from digital activities and assets involves both tangible and intangible outputs that are
often hard to precisely capture within GDP boundaries. At the same time, digital technologies
have broader impacts across industries through productivity gains and new business models
that again are difficult for standard national accounts to fully reflect.
This paper examines the implications of digital economies for GDP accounting and aims to shed
light on ongoing efforts to enhance national measurement frameworks to keep pace. The
emergence of "digital GDP" statistics is discussed as a supplementary approach to gain a fuller
picture of modern output. Case studies provide empirical insights on the economic significance
of digital industries. The conclusion reflects on implications and remaining gaps that future
research can help address.
Conceptual Framework
The System of National Accounts (SNA) was designed based on the production of physical
goods and services transacted through monetary markets. However, the digital economy
involves several non-SNA outputs:
- Free digital services from social platforms, search engines etc. provide utility without market
transactions.
- Network effects and multi-sided platforms create value through user data and interactions
rather than direct consumption.
- Digital infrastructure and technologies embedded in other industries boost productivity in ways
not fully captured by standard deflators.
- Own-use production of digital content and sharing economies contribute to well-being outside
the production boundary.
At the same time, cross-border data flows complicate assignment of online activities' location for
GDP territoriality principles. Accurately measuring digital industries thus requires supplemental
techniques beyond traditional production/expenditure approaches.
Defining "Digital GDP"
To address these challenges, statistical agencies are developing "digital economy satellite
accounts" (DESA) benchmarked to the SNA but with alternative output valuation methods.
These compile a "digital GDP" total by capturing value from:
- Digital manufacturing using 3D printing/robotics.
- Computer programming/software publishing.
- Telecoms infrastructure operation.
- Data/media streaming platforms through advertising revenue.
- ICT consultancy services boosting organizational efficiency.
- Hardware resale/maintenance supporting digital technologies.
An activity's contribution is included based on its digital dependence even if partly offline. Some
accounts may further estimate consumer surplus to incorporate free online services. While
imperfect, digital GDP thus provides a broader indication of digitization's economic impact.
Empirical Evidence of Digital Industries' Scale
Official digital economy satellite accounts are emerging across countries:
- UK estimates digital industries contributed 7.7% to GDP in 2017, outpacing overall growth by
3%. Software/IT services were largest contributors.
- Canadian data shows core ICT sectors' share rose from 3.8% to 5.6% of GDP 2006-2018.
Digital media/entertainment also expanded.
- Singapore reported digitally-intensive activities contributed 20.9% to GDP in 2017 with
infocomm technology the single largest industry.
- Eurostat estimates the EU digital sector added 3.9% to GDP in 2017 led by computer
programming activities.
Private sector analyses also highlight digital value not fully captured:
- Stock market valuations imply 35-40% of S&P 500 firm value now derived digitally versus 20%
a decade ago.
- Customer experience platforms alone may contribute 2% of US GDP uncounted according to
an Accenture study.
While metrics vary in scope and definitions, evidence clearly shows digital industries and
technologies play an increasingly prominent, albeit understated, role in modern economies at
both national and firm levels. Developing accounting best-practices remains crucial.
Implications for Monetary and Fiscal Policy
The very nature of digital value creation poses challenges for macroeconomic policymaking
reliant on GDP:
- Statistics excluding the scale of digital may distortingly understate aggregate
output/productivity trends used for forecasting.
- Intangible/free online services also likely contribute significantly to consumer price inflation left
unmeasured by traditional deflators.
- Cross-border data flows enable tax base erosion concerns if the location of digital business is
ambiguous in national accounts.
- Infrastructure investment needs may be underestimated if productivity impacts across the
whole economy are obscured.
Accurate assessment of such issues requires policymakers to utilize estimates of digital GDP,
while also exploring supplementary indicators like adjusted price indices incorporating online
consumer behavior. More holistic data will help ensure appropriate fiscal/monetary stances
facilitating innovation.
Conclusion and Future Research Needs
In summary, while GDP remains a fundamental statistic, its ability to fully characterize modern,
data-driven economies has limitations that supplemental digital economy metrics can help
address. Empirically, the scale of digital industries, technologies and business models already
underscores their macroeconomic relevance, albeit understated.
Moving ahead, statistical priorities include standardizing digital satellite account methodologies
for cross-country comparisons and tracking data/intangible asset production across system
boundaries. Coordinated international work is underway through the UN, OECD and national
statistical agencies to evolve frameworks appropriately capturing digital value.
Areas meriting future research also encompass refining output deflators, industry classifications,
location allocation principles for digital cross-border activities and welfare implications of own-
use digital services. There is also scope to explore links between investment in digital
infrastructure, skills and multi-factor productivity at both macro and firm levels.
As technological change accelerates, continuously enhancing national accounting to reflect
economic realities will remain indispensable. Supplementing GDP with digital economy metrics
today helps provide more robust background for navigating associated challenges and
harnessing opportunities of ongoing digitization. An evidence-based understanding of true
contributions remains key to sound policymaking in the 21st century.
The increasing digitization of economies worldwide presents both opportunities and challenges
for assessing national economic performance using traditional GDP measures. The value
generated from digital activities and assets involves both tangible and intangible outputs that are
often hard to precisely capture within GDP boundaries. At the same time, digital technologies
have broader impacts across industries through productivity gains and new business models
that again are difficult for standard national accounts to fully reflect.
This paper examines the implications of digital economies for GDP accounting and aims to shed
light on ongoing efforts to enhance national measurement frameworks to keep pace. The
emergence of "digital GDP" statistics is discussed as a supplementary approach to gain a fuller
picture of modern output. Case studies provide empirical insights on the economic significance
of digital industries. The conclusion reflects on implications and remaining gaps that future
research can help address.
Conceptual Framework
The System of National Accounts (SNA) was designed based on the production of physical
goods and services transacted through monetary markets. However, the digital economy
involves several non-SNA outputs:
- Free digital services from social platforms, search engines etc. provide utility without market
transactions.
- Network effects and multi-sided platforms create value through user data and interactions
rather than direct consumption.
- Digital infrastructure and technologies embedded in other industries boost productivity in ways
not fully captured by standard deflators.
- Own-use production of digital content and sharing economies contribute to well-being outside
the production boundary.
At the same time, cross-border data flows complicate assignment of online activities' location for
GDP territoriality principles. Accurately measuring digital industries thus requires supplemental
techniques beyond traditional production/expenditure approaches.
Defining "Digital GDP"
To address these challenges, statistical agencies are developing "digital economy satellite
accounts" (DESA) benchmarked to the SNA but with alternative output valuation methods.
These compile a "digital GDP" total by capturing value from:
- Digital manufacturing using 3D printing/robotics.
- Computer programming/software publishing.
- Telecoms infrastructure operation.
- Data/media streaming platforms through advertising revenue.
- ICT consultancy services boosting organizational efficiency.
- Hardware resale/maintenance supporting digital technologies.
An activity's contribution is included based on its digital dependence even if partly offline. Some
accounts may further estimate consumer surplus to incorporate free online services. While
imperfect, digital GDP thus provides a broader indication of digitization's economic impact.
Empirical Evidence of Digital Industries' Scale
Official digital economy satellite accounts are emerging across countries:
- UK estimates digital industries contributed 7.7% to GDP in 2017, outpacing overall growth by
3%. Software/IT services were largest contributors.
- Canadian data shows core ICT sectors' share rose from 3.8% to 5.6% of GDP 2006-2018.
Digital media/entertainment also expanded.
- Singapore reported digitally-intensive activities contributed 20.9% to GDP in 2017 with
infocomm technology the single largest industry.
- Eurostat estimates the EU digital sector added 3.9% to GDP in 2017 led by computer
programming activities.
Private sector analyses also highlight digital value not fully captured:
- Stock market valuations imply 35-40% of S&P 500 firm value now derived digitally versus 20%
a decade ago.
- Customer experience platforms alone may contribute 2% of US GDP uncounted according to
an Accenture study.
While metrics vary in scope and definitions, evidence clearly shows digital industries and
technologies play an increasingly prominent, albeit understated, role in modern economies at
both national and firm levels. Developing accounting best-practices remains crucial.
Implications for Monetary and Fiscal Policy
The very nature of digital value creation poses challenges for macroeconomic policymaking
reliant on GDP:
- Statistics excluding the scale of digital may distortingly understate aggregate
output/productivity trends used for forecasting.
- Intangible/free online services also likely contribute significantly to consumer price inflation left
unmeasured by traditional deflators.
- Cross-border data flows enable tax base erosion concerns if the location of digital business is
ambiguous in national accounts.
- Infrastructure investment needs may be underestimated if productivity impacts across the
whole economy are obscured.
Accurate assessment of such issues requires policymakers to utilize estimates of digital GDP,
while also exploring supplementary indicators like adjusted price indices incorporating online
consumer behavior. More holistic data will help ensure appropriate fiscal/monetary stances
facilitating innovation.
Conclusion and Future Research Needs
In summary, while GDP remains a fundamental statistic, its ability to fully characterize modern,
data-driven economies has limitations that supplemental digital economy metrics can help
address. Empirically, the scale of digital industries, technologies and business models already
underscores their macroeconomic relevance, albeit understated.
Moving ahead, statistical priorities include standardizing digital satellite account methodologies
for cross-country comparisons and tracking data/intangible asset production across system
boundaries. Coordinated international work is underway through the UN, OECD and national
statistical agencies to evolve frameworks appropriately capturing digital value.
Areas meriting future research also encompass refining output deflators, industry classifications,
location allocation principles for digital cross-border activities and welfare implications of own-
use digital services. There is also scope to explore links between investment in digital
infrastructure, skills and multi-factor productivity at both macro and firm levels.
As technological change accelerates, continuously enhancing national accounting to reflect
economic realities will remain indispensable. Supplementing GDP with digital economy metrics
today helps provide more robust background for navigating associated challenges and
harnessing opportunities of ongoing digitization. An evidence-based understanding of true
contributions remains key to sound policymaking in the 21st century.
