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A Strong Test of the von Liebig Hypothesis

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  • Peter Berck
  • Jacqueline Geoghegan
  • Stephen Stohs

Abstract

An implication of the von Liebig hypothesis is that crop-production functions have right-angle isoquants. This article presents a nonparametric estimation of right-angle isoquant production functions. It then describes a new test for right-angle isoquants. The procedures are used to test experimental data on corn and wheat. Copyright 2000, Oxford University Press.

Suggested Citation

  • Peter Berck & Jacqueline Geoghegan & Stephen Stohs, 2000. "A Strong Test of the von Liebig Hypothesis," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 82(4), pages 948-955.
  • Handle: RePEc:oup:ajagec:v:82:y:2000:i:4:p:948-955
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    File URL: http://hdl.handle.net/10.1111/0002-9092.00093
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    References listed on IDEAS

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    1. Llewelyn, Richard V. & Featherstone, Allen M., 1997. "A comparison of crop production functions using simulated data for irrigated corn in western Kansas," Agricultural Systems, Elsevier, vol. 54(4), pages 521-538, August.
    2. Robert G. Chambers & Erik Lichtenberg, 1996. "A Nonparametric Approach to the von Liebig-Paris Technology," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(2), pages 373-386.
    3. Varian, Hal R., 1985. "Non-parametric analysis of optimizing behavior with measurement error," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 445-458.
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    Cited by:

    1. Ekbom, Anders & Sterner, Thomas, 2009. "Soil Properties and Soil Conservation Investments in Agricultural Production - a Case study of Kenya’s Central Highlands," Working Papers in Economics 340, University of Gothenburg, Department of Economics.
    2. Catherine Ragasa & Antony Chapoto, 2017. "Moving in the right direction? The role of price subsidies in fertilizer use and maize productivity in Ghana," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 9(2), pages 329-353, April.
    3. Guillermo Flichman & Florence Jacquet, 2003. "Le couplage des modèles agronomiques et économiques : intérêt pour l'analyse des politiques," Post-Print hal-01201042, HAL.
    4. Flichman, Guillermo & Jacquet, Florence, 2003. "Le couplage des modèles agronomiques et économiques : intérêt pour l'analyse des politiques," Cahiers d'Economie et de Sociologie Rurales (CESR), INRA (French National Institute for Agricultural Research), vol. 67.
    5. Elofsson, Katarina, 2002. "Economics of Marine Pollution," Department of Economics publications 78, Swedish University of Agricultural Sciences, Department of Economics.
    6. Kamel Louhichi & Guillermo Flichman & Jean Boisson, 2010. "Bio-economic modelling of soil erosion externalities and policy options: a Tunisian case study," Journal of Bioeconomics, Springer, vol. 12(2), pages 145-167, July.
    7. Schwabe, Kurt A. & Knapp, Keith C., 2005. "Nitrogen as a Capital Input and Stock Pollutant: A Dynamic Analysis of Corn Production and Nitrogen Leaching under Non-Uniform Irrigation," 2005 Annual meeting, July 24-27, Providence, RI 19466, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    8. Ekbom, Anders, 2009. "Determinants of Soil Capital," Working Papers in Economics 339, University of Gothenburg, Department of Economics.
    9. Guillermo Flichman & Florence Jacquet, 2003. "Le couplage des modèles agronomiques et économiques : intérêt pour l'analyse des politiques," Cahiers d'Economie et Sociologie Rurales, INRA Department of Economics, vol. 67, pages 51-69.
    10. Livanis, Grigorios T. & Salois, Matthew J. & Moss, Charles B., 2009. "A Nonparametric Kernel Representation of the Agricultural Production Function: Implications for Economic Measures of Technology," 83rd Annual Conference, March 30-April 1, 2009, Dublin, Ireland 51063, Agricultural Economics Society.

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