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A Multicommodity Analysis of Trade Policy Effects: The Case of Nicaraguan Agriculture

Author

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  • Daniel Fajardo
  • Bruce A. McCarl
  • Robert L. Thompson

Abstract

Agricultural trade policies for a small country are analyzed, using a simple, multicommodity, quadratic programming, agricultural sector model. The policy conditions simulated include (a) quantitative trade restrictions given an uncertain world market, (b) export taxation, and (c) import subsidies. The multicommodity, sectoral-wide coverage permits analysis of the factor-product market linkages and enables identification of the distributional consequences.

Suggested Citation

  • Daniel Fajardo & Bruce A. McCarl & Robert L. Thompson, 1981. "A Multicommodity Analysis of Trade Policy Effects: The Case of Nicaraguan Agriculture," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 63(1), pages 23-31.
    • Handle: RePEc:oup:ajagec:v:63:y:1981:i:1:p:23-31.
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    File URL: http://hdl.handle.net/10.2307/1239808
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    Citations

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    Cited by:

    1. McCarl, Bruce A., 1992. "Mathematical Programming For Resource Policy Appraisal Under Multiple Objectives," Working Papers 11888, Environmental and Natural Resources Policy Training Project.
    2. Howitt, Richard E. & Mean, Phillippe, 1985. "Positive Quadratic Programming Models," Working Papers 225801, University of California, Davis, Department of Agricultural and Resource Economics.
    3. Howitt, Richard E. & Mean, Phillippe, 1983. "A Positive Approach to Microeconomic Programming Models," Working Papers 225710, University of California, Davis, Department of Agricultural and Resource Economics.
    4. McCarl, Bruce A. & Apland, Jeffrey, 1986. "Validation of Linear Programming Models," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 18(2), pages 155-164, December.
    5. Das, Prantika & Gundimeda, Haripriya, 2021. "Economic Evaluation of Achieving Biofuel Mandate through Advanced Biofuels in Developing Country: Case of India," 2021 Conference, August 17-31, 2021, Virtual 315355, International Association of Agricultural Economists.
    6. Schmid, Erwin & Sinabell, Franz, 2005. "Using the Positive Mathematical Programming Method to Calibrate Linear Programming Models," Discussion Papers DP-10-2005, University of Natural Resources and Life Sciences, Vienna, Department of Economics and Social Sciences, Institute for Sustainable Economic Development.
    7. Fernandez, Mario Andres, 2013. "Decadal Climate Variability: Economic Implications In Agriculture And Water In The Missouri River Basin," 2013 Conference, August 28-30, 2013, Christchurch, New Zealand 160199, New Zealand Agricultural and Resource Economics Society.
    8. Oamek, George Edward, 1988. "Economic and environmental impacts of interstate water transfers in the Colorado River Basin," ISU General Staff Papers 1988010108000010705, Iowa State University, Department of Economics.
    9. Wiborg, Torben & McCarl, Bruce A. & Rasmussen, Svend & Schneider, Uwe A., 2005. "Aggregation and Calibration of Agricultural Sector Models Through Crop Mix Restrictions and Marginal Profit Adjustments," 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark 24567, European Association of Agricultural Economists.
    10. Gocht, Alexander, 2008. "Estimating input allocation for farm supply models," 107th Seminar, January 30-February 1, 2008, Sevilla, Spain 6469, European Association of Agricultural Economists.
    11. Aillery, Marcel P. & et al. [+7], 1996. "Salmon Recovery in the Pacific Northwest: Agricultural and other Economic Effects," Agricultural Economic Reports 308431, United States Department of Agriculture, Economic Research Service.
    12. Arifullah, Shahnaz A. & Önal, Hayri & Chishti, Anwar F., 2010. "Effects of technological progress on consumers’ and producers’ welfare: a case study for Pakistan Punjab," Quarterly Journal of International Agriculture, Humboldt-Universitaat zu Berlin, vol. 49(3), pages 1-13.

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