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Total Factor Productivity And Processed Food Trade: A Cross-Country Analysis

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  • Gopinath, Munisamy
  • Carver, Jason

Abstract

Processed food products account for a growing share of global agricultural trade. Growth in total factor productivity and intersectoral linkages between agricultural and processed foodsectors are hypothesized as factors explaining this phenomenon. Estimating the neoclassical trade model using an internationally comparable database, we find evidence of (a) Hechsher-Ohlin (factor endowments) and Ricardian-type (technology) effects in agricultural and processed food trade, and (b) transfer of comparative advantage from the primary agricultural sector to the processed food sector. Thus, public policies protecting primary agriculture can adversely affect processed food sectors, while those supporting R&D efforts can bring about dynamic and comparative advantage.

Suggested Citation

  • Gopinath, Munisamy & Carver, Jason, 2002. "Total Factor Productivity And Processed Food Trade: A Cross-Country Analysis," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 27(02), December.
  • Handle: RePEc:ags:jlaare:31130
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    File URL: http://purl.umn.edu/31130
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    References listed on IDEAS

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    1. Thomas W. Hertel & Zhi Wang & Wusheng Yu, 1998. "Understanding the Determinants of Structural Change in World Food Markets," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 80(5), pages 1051-1061.
    2. Arnade, Carlos Anthony & Gopinath, Munisamy, 1998. "Capital Adjustment In U.S. Agriculture And Food Processing: A Cross-Sectoral Model," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 23(01), July.
    3. Burgess, David F, 1974. "A Cost Minimization Approach to Import Demand Equations," The Review of Economics and Statistics, MIT Press, vol. 56(2), pages 225-234, May.
    4. Harrigan, James, 1997. "Technology, Factor Supplies, and International Specialization: Estimating the Neoclassical Model," American Economic Review, American Economic Association, vol. 87(4), pages 475-494, September.
    5. Gopinath, Munisamy & Roe, Terry L., 1996. "Sources Of Growth In U.S. Gdp And Economy-Wide Linkages To The Agricultural Sector," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 21(02), December.
    6. Nerlove, Marc, 1971. "Further Evidence on the Estimation of Dynamic Economic Relations from a Time Series of Cross Sections," Econometrica, Econometric Society, vol. 39(2), pages 359-382, March.
    7. Mundlak, Yair, 1978. "On the Pooling of Time Series and Cross Section Data," Econometrica, Econometric Society, vol. 46(1), pages 69-85, January.
    8. W. Erwin Diewert, 1980. "Aggregation Problems in the Measurement of Capital," NBER Chapters,in: The Measurement of Capital, pages 433-538 National Bureau of Economic Research, Inc.
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    Cited by:

    1. Echeverria, Rodrigo & Gopinath, Munisamy & Moreira, Victor H. & Cortes, Pedro, 2009. "The Export-Production Decision of Chilean Farmers: The Case of Blueberry Producers," 2009 Conference, August 16-22, 2009, Beijing, China 51025, International Association of Agricultural Economists.
    2. Konstantakis, Konstantinos N. & Michaelides, Panayotis G., 2017. "Technology and Business Cycles: A Schumpeterian Investigation for the USA," MPRA Paper 80636, University Library of Munich, Germany.
    3. Theofanis Papageorgiou & Panayotis G. Michaelides & John G. Milios, 2011. "Technology and economic fluctuations in the US food sector (1958-2006): An empirical approach from a political economy perspective," International Journal of Social Economics, Emerald Group Publishing, vol. 38(2), pages 140-164, January.
    4. Papageorgiou, Theofanis & Michaelides, Panayotis G. & Milios, John, 2009. "Economic Fluctuations, Cyclical Regularities and Technological Change: The U.S. Food Sector (1958–2006)," MPRA Paper 67115, University Library of Munich, Germany.

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    Keywords

    Productivity Analysis;

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