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Agricultural Production Functions Estimated From Aggregate Intercountry Observations: A Selected Survey

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  • Trueblood, Michael Alan

Abstract

This paper critically surveys 10 studies that test the meta-production function hypothesis, which states that intercountry agricultural production variation is partly explained by different levels of human capital. The meta-production function exhibits constant returns to scale without human capital variables; with human capital, they estimate increasing returns. Some variables (land and general education) lack statistical significance. In subsample estimates, developed countries exhibit increasing returns to scale while less developed countries exhibit constant returns to scale. The production function is stable over time. Inadequate measurements are a serious problem; suggestions for improved measurements are offered for future studies.

Suggested Citation

  • Trueblood, Michael Alan, 1991. "Agricultural Production Functions Estimated From Aggregate Intercountry Observations: A Selected Survey," Staff Reports 278560, United States Department of Agriculture, Economic Research Service.
    • Handle: RePEc:ags:uerssr:278560
    DOI: 10.22004/ag.econ.278560
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    Cited by:

    1. Biagia De Devitiis & Ornella Wanda Maietta, 2015. "Shadow Prices of Human Capital in Agriculture. Evidence from European FADN Regions," CSEF Working Papers 415, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
    2. Craig, Barbara J. & Pardey, Philip G. & Roseboom, Johannes, 1994. "International Agricultural Productivity Patterns," Working Papers 14470, University of Minnesota, Center for International Food and Agricultural Policy.
    3. Pingali, Prabhu L. & Heisey, Paul W., 1999. "Cereal Crop Productivity in Developing Countries: Past Trends and Future Prospects," Economics Working Papers 7682, CIMMYT: International Maize and Wheat Improvement Center.
    4. Yaguchi, Yu, 1994. "A panel data approach to the intercountry metaproduction function," ISU General Staff Papers 1994010108000018181, Iowa State University, Department of Economics.
    5. Rodolfo Cermeño & Sirenia Várquez, 2005. "Technological Backwardness in Agriculture: Is It due to Lack of R&D Expenditures, Human Capital and Openness to International Trade?," DEGIT Conference Papers c010_014, DEGIT, Dynamics, Economic Growth, and International Trade.
    6. Viveka P. Kudaligama & John F. Yanagida, 2000. "A Comparison of Intercountry Agricultural Production Functions: A Frontier Function Approach," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 25(1), pages 57-74, June.
    7. Shaik, Saleem, 2011. "Does accounting for inefficiency affect the time-varying short and long-run returns to scale?," IAMO Forum 2011: Will the "BRICs Decade" Continue? – Prospects for Trade and Growth 11, Leibniz Institute of Agricultural Development in Central and Eastern Europe (IAMO).
    8. Trueblood, Michael A., 1994. "An Annotated Bibliography Of Selected Productivity Literature," Staff Papers 13580, University of Minnesota, Department of Applied Economics.
    9. Arnade, Carlos, 1997. "Agriculture Growth Sources: A Look at 77 Countries," Staff Reports 278825, United States Department of Agriculture, Economic Research Service.

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