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20170328222830waheeduzzaman_market_potential_estimation.xls

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Author: Dr. A. N. M. Waheeduzzaman
Article Title: Market Potential Estimation in International Markets
Journal of Global Marketing, Vol. 21 (4), 2008, 307-320.
Table 2
Comparison of Different Methods
A. Basic Statistics for Thailand 2006 2007 2008 2009 2010
GDP measured at PPP (million US $) 597380.00 640120.00 685621.00 733182.94 775523.91
Per capita income 9553.82 10138.64 10758.77 11402.49 11956.98
Population ('000) 62527.89 63136.70 63726.69 64300.27 64859.53
Family size 3.57 3.55 3.53 3.51 3.49
Total households ('000) 17514.82 17784.99 18052.89 18319.17 18584.39
Ownership of washing machine per 100 households 43.10 46.20 48.40 50.80 52.70
Life expectancy at birth (years) 71.29 71.67 72 72.29 72.54
Female labor at as percentage of total (%) 45.88 45.89 45.90 45.93 45.96
Percentage of urban population (%) 32.85 33.25 33.58 33.97 34.36
Per capita energy consumption (%), 3% growth assumed 1525.98 1571.76 1618.91 1667.48 1717.50
Households with electricity (%), 3% growth assumed 82.10 84.56 87.10 89.71 92.40
Households with resident telephones (%), 3% growth assumed 42.00 43.26 44.56 45.89 47.27
Households with water supply (%), 3% growth assumed 49.76 51.25 52.79 54.37 56.01
Ownership per 100 households using time series equation 40.80 40.80 40.80 40.79 40.78
Ownership per 100 households using multiple regession equation 34.23 36.21 38.15 40.09 41.77
B. Basic Statistics for South Africa
GDP measured at PPP for South Africa (million US $) 606407.00 643808.00 683004.00 759455.21 845276.05
Population, South Africa ('000) 49466.6 50250.01 50924.13 51509.41 52028.18
Total households ('000) 12767 12976.6 13165.9 13332.9 13485.6
Ownership of washing machine per 100 households 43.7 45.7 47.9 49.5 50.8
C. Comparison of Market Potential Estimations for Thailand ('000)
Method of Analogy 5995.12 6263.38 6567.98 6801.21 7000.71
Proxy Indicators 7356.22 7693.78 8043.97 8407.50 8785.10
Chain Ratio Method 7155.32 7708.17 8300.78 8936.19 9617.67
Time Series Analysis 7146.04 7256.10 7364.86 7472.57 7579.46
Multiple Regression Modeling 5996.17 6440.46 6887.21 7343.28 7762.87
Average of all five methods 6729.78 7072.38 7432.96 7792.15 8149.16
Yearly growth of average market potential ... 342.60 360.58 359.19 357.01
Market potential as per Euromonitor data 7548.89 8216.66 8737.60 9306.14 9793.98
Time Series Equation: Yi = 39.9 + 0.06 t – 0.001 t*t
Multiples Regression Equation: Yi = -124.27 + 0.002 (INCOME) + 0.0001 (ENERGY) + 1.78 (LIFEXP) + 0.32 (URBAN) + 0.04 (FEMALE)

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