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Multiple-Output Production Modeled With Three Functional Forms

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  • Villezca-Becerra, Pedro A.
  • Shumway, C. Richard

Abstract

Aggregate dual models are specified to examine multiple-output production relationships in each of four major, geographically dispersed, agricultural states (California, Iowa, Texas, and Florida). Three locally-flexible functional forms (translog, generalized Leontief, and normalized quadratic) are employed to conduct analytic simplification tests, estimate systems of output supply and input demand equations consistent with nonrejected hypotheses, derive elasticities, and determine to what extent analytic simplification tests and policy-relevant results are sensitive to functional form and state. Important differences in empirical implications were found due both to functional form and geographic unit, but differences were greater for the latter.

Suggested Citation

  • Villezca-Becerra, Pedro A. & Shumway, C. Richard, 1992. "Multiple-Output Production Modeled With Three Functional Forms," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 17(1), pages 1-16, July.
    • Handle: RePEc:ags:jlaare:30734
    DOI: 10.22004/ag.econ.30734
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    References listed on IDEAS

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    Cited by:

    1. Shumway, C. Richard & Davis, George C., 2001. "Does consistent aggregation really matter?," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 45(2), pages 1-34.
    2. Ornelas, Fermin & Shumway, C. Richard, 1993. "Supply Response and Impact of Government-Supported Crops on the Texas Vegetable Industry," Agricultural and Resource Economics Review, Cambridge University Press, vol. 22(1), pages 27-36, April.
    3. Jacinto F. Fabiosa & Helen H. Jensen & Dong Yan, 2004. "Output Supply and Input Demand System of Commercial and Backyard Poultry Producers in Indonesia," Food and Agricultural Policy Research Institute (FAPRI) Publications (archive only) 04-wp363, Center for Agricultural and Rural Development (CARD) at Iowa State University.
    4. Christopher J. O'Donnell & Alicia N. Rambaldi & Howard E. Doran, 2001. "Estimating economic relationships subject to firm- and time-varying equality and inequality constraints," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(6), pages 709-726.
    5. O'Donnell, Christopher J., 2000. "Estimating The Characteristics Of Homogeneous Functionsusing Flexible Functional Forms," 2000 Conference (44th), January 23-25, 2000, Sydney, Australia 123713, Australian Agricultural and Resource Economics Society.
    6. Shrabani Mukherjee & Kailash Chandra Pradhan, 2016. "Anatomy of Input Demand Functions for Indian Farmers across Regions," Working Papers 2016-150, Madras School of Economics,Chennai,India.
    7. Boonyanam, Nararuk, 2020. "Agricultural economic zones in Thailand," Land Use Policy, Elsevier, vol. 99(C).
    8. Nguyen, Duong T.M. & McLaren, Keith Robert & Zhao, Xueyan, 2008. "Multi-Output Broadacre Agricultural Production: Estimating A Cost Function Using Quasi-Micro Farm Level Data From Australia," 2008 Conference (52nd), February 5-8, 2008, Canberra, Australia 6009, Australian Agricultural and Resource Economics Society.
    9. Chen, Qiu & Mirzabaev, Alisher, 2016. "Evaluating the Impacts of Traditional Biomass Energy Use on Agricultural Production in Sichuan, China," Discussion Papers 250213, University of Bonn, Center for Development Research (ZEF).
    10. Shumway, C. Richard, 1995. "Recent Duality Contributions In Production Economics," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 20(1), pages 1-17, July.

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