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International Consumption Patterns for Proteins and Fats: Intra-distributional Mobility and the Role of Income Elasticity

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  • Fousekis, Panos

Abstract

Stochastic kernels are used in this paper to investigate intra-distribution dynamics in the world per capita intakes of proteins and fats. The analysis of actual transitions over the last 40 years indicates that lagging countries improved their position relative to the leading. Long-run (steady-state) distributions have been obtained using estimated intake change models. These distributions have been compared to “virtual†ones revealing that the income elasticity of demand or equivalently the rate of growth in per capita income does have a strong influence on the dispersion of intakes at the steady-state.

Suggested Citation

  • Fousekis, Panos, 2009. "International Consumption Patterns for Proteins and Fats: Intra-distributional Mobility and the Role of Income Elasticity," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 10(1), January.
  • Handle: RePEc:ags:aergaa:58279
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    File URL: http://purl.umn.edu/58279
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    References listed on IDEAS

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    1. José M. Gil & Azucena Gracia & Ana M. Angulo, 2001. "articles: Calorie intake and income elasticities in EU countries: A convergence analysis using cointegration," Papers in Regional Science, Springer;Regional Science Association International, vol. 80(2), pages 165-187.
    2. Blandford, David, 1984. "Changes in Food Consumption Patterns in the OECD Area," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 11(1), pages 43-64.
    3. Quah, Danny, 1997. "Empirics for Growth and Distribution: Stratification, Polarization, and Convergence Clubs," CEPR Discussion Papers 1586, C.E.P.R. Discussion Papers.
    4. Herrmann, Roland & Roder, Claudia, 1995. "Does Food Consumption Converge Internationally? Measurement, Empirical Tests and Determinants," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 22(3), pages 400-414.
    5. Durlauf, Steven N. & Quah, Danny T., 1999. "The new empirics of economic growth," Handbook of Macroeconomics,in: J. B. Taylor & M. Woodford (ed.), Handbook of Macroeconomics, edition 1, volume 1, chapter 4, pages 235-308 Elsevier.
    6. Fousekis, Panos & Lazaridis, Panagiotis, 2005. "Distribution Dynamics of Dietary Energy Supply in the World," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 6(2), August.
    7. Johnson, Paul A., 2000. "A nonparametric analysis of income convergence across the US states," Economics Letters, Elsevier, vol. 69(2), pages 219-223, November.
    8. Quah, Danny T, 1997. "Empirics for Growth and Distribution: Stratification, Polarization, and Convergence Clubs," Journal of Economic Growth, Springer, vol. 2(1), pages 27-59, March.
    9. Quah, Danny T, 1996. "Convergence Empirics across Economies with (Some) Capital Mobility," Journal of Economic Growth, Springer, vol. 1(1), pages 95-124, March.
    10. Enrique Lopez-Bazo & Bernard Fingleton, 2003. "Explaining the distribution of manufacturing productivity in the EU regions," ERSA conference papers ersa03p197, European Regional Science Association.
    11. Jayachandran N. Variyam & James Blaylock & David Smallwood, 1996. "A Probit Latent Variable Model of Nutrition Information and Dietary Fiber Intake," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(3), pages 628-639.
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    More about this item

    Keywords

    Nutrient Intakes; Stochastic Kernels; Agricultural and Food Policy; Q1; D12; C14;

    JEL classification:

    • Q1 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General

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