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Uncertain Yields In Sectoral Welfare Analysis: An Application To Global Warming

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  • Lambert, David K.
  • McCarl, Bruce A.
  • He, Quifen
  • Kaylen, Michael S.
  • Rosenthal, Wesley
  • Chang, Ching-Cheng
  • Nayda, W.I.

Abstract

Agriculture operates in an uncertain environment. Yields, prices, and resource usage can change dramatically from year to year. However, most analyses of the agricultural sector, at least those using mathematical programming methods, assume decision making is based on average yields, ignoring yield variability. This study examines how explicit consideration of stochastic yield outcomes influence a sector analysis. We develop a model that can be used for stochastic sector analysis. We extend the risk framework developed by Hazell and others to incorporate discrete yield outcomes as well as consumption activities dependent upon yield outcomes. An empirical application addresses a comparison between sector analysis with and without considerations of the economic effects of yield variability in a global warming context.

Suggested Citation

  • Lambert, David K. & McCarl, Bruce A. & He, Quifen & Kaylen, Michael S. & Rosenthal, Wesley & Chang, Ching-Cheng & Nayda, W.I., 1995. "Uncertain Yields In Sectoral Welfare Analysis: An Application To Global Warming," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 27(2), pages 1-14, December.
  • Handle: RePEc:ags:joaaec:15257
    DOI: 10.22004/ag.econ.15257
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    1. Spreen, Thomas H., 2006. "Price Endogenous Mathematical Programming Models and Trade Analysis," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 38(2), pages 1-5, August.
    2. Larry J. Martin, 1981. "Quadratic Single And Multi-Commodity Models Of Spatial Equilibrium: A Simplified Exposition," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 29(1), pages 21-48, February.
    3. Mark R. Weimar & Arne Hallam, 1988. "Risk, Diversification, and Vegetables as an Alternative Crop for Midwestern Agriculture," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 10(1), pages 75-89.
    4. Roger D. Norton & Gerhard W. Schiefer, 1980. "Agricultural sector programming models: A review," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 7(3), pages 229-265.
    5. Tobey, James A. & Reilly, John M. & Kane, Sally, 1992. "Economic Implications Of Global Climate Change For World Agriculture," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 17(1), pages 1-10, July.
    6. Peter B. R. Hazell & Carlos Pomareda, 1981. "Evaluating Price Stabilization Schemes with Mathematical Programming," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 63(3), pages 550-556.
    7. Allen, Myles, 1990. "Climate research review," Energy Policy, Elsevier, vol. 18(8), pages 793-794, October.
    8. Bruce A. McCarl & Thomas H. Spreen, 1980. "Price Endogenous Mathematical Programming As a Tool for Sector Analysis," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 62(1), pages 87-102.
    9. Kokoski, Mary F & Smith, V Kerry, 1987. "A General Equilibrium Analysis of Partial-Equilibrium Welfare Measures: The Case of Climate Change," American Economic Review, American Economic Association, vol. 77(3), pages 331-341, June.
    10. Allen, Myles, 1990. "Climate research review," Energy Policy, Elsevier, vol. 18(9), pages 880-881, November.
    11. David K. Lambert & Bruce A. McCarl, 1985. "Risk Modeling Using Direct Solution of Nonlinear Approximations of the Utility Function," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 67(4), pages 846-852.
    12. Allen, Myles, 1990. "Climate research review," Energy Policy, Elsevier, vol. 18(6), pages 585-587.
    13. McCarl, Bruce A. & Parandvash, Gholam Hossein, 1988. "Irrigation Development Versus Hydroelectric Generation: Can Interruptible Irrigation Play A Role?," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 13(2), pages 1-10, December.
    14. K. D. Cocks, 1968. "Discrete Stochastic Programming," Management Science, INFORMS, vol. 15(1), pages 72-79, September.
    15. George B. Dantzig, 1955. "Linear Programming under Uncertainty," Management Science, INFORMS, vol. 1(3-4), pages 197-206, 04-07.
    16. P. B. R. Hazell & P. L. Scandizzo, 1974. "Competitive Demand Structures under Risk in Agricultural Linear Programming Models," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 56(2), pages 235-244.
    17. Beach, Robert H. & Thomson, Allison M. & McCarl, Bruce A., 2010. "Climate Change Impacts On Us Agriculture," 2010: Climate Change in World Agriculture: Mitigation, Adaptation, Trade and Food Security, June 2010, Stuttgart-Hohenheim, Germany 91393, International Agricultural Trade Research Consortium.
    18. Allen, Myles R., 1990. "Climate research review," Energy Policy, Elsevier, vol. 18(5), pages 485-486, June.
    19. Boisvert, Richard N. & McCarl, Bruce, 1990. "Agricultural Risk Modeling Using Mathematical Programming," Research Bulletins 183294, Cornell University, Department of Applied Economics and Management.
    20. Apland, Jeffrey & Hauer, Grant, 1993. "Discrete Stochastic Programming: Concepts, Examples And A Review Of Empirical Applications," Staff Papers 13793, University of Minnesota, Department of Applied Economics.
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    1. Jones, Jason P.H. & McCarl, Bruce A., 2016. "Impacts of U.S. Production-Dependent Ethanol Policy on Agricultural Markets," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 236258, Agricultural and Applied Economics Association.
    2. Choi, Hyung Sik & Schneider, Uwe A. & Rasche, Livia & Cui, Junbo & Schmid, Erwin & Held, Hermann, 2015. "Potential effects of perfect seasonal climate forecasting on agricultural markets, welfare and land use: A case study of Spain," Agricultural Systems, Elsevier, vol. 133(C), pages 177-189.
    3. Chengcheng J. Fei & Bruce A. McCarl & Yingqian Yang & Essayas Kaba Ayana & Raghavan Srinivasan & Yuhong Lei & Lingyi Li & Bingru Sheng & Xinxin Fan, 2022. "Impacts of climate change on water management," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 44(3), pages 1448-1464, September.
    4. Chen, Chi-Chung & McCarl, Bruce A., 2000. "The Value Of Enso Information To Agriculture: Consideration Of Event Strength And Trade," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 25(2), pages 1-18, December.
    5. Guan, Z. & Philpott, A.B., 2011. "A multistage stochastic programming model for the New Zealand dairy industry," International Journal of Production Economics, Elsevier, vol. 134(2), pages 289-299, December.
    6. Kung, Chih-Chun & Cao, Xiaoyong & Choi, Yongrok & Kung, Shan-Shan, 2019. "A stochastic analysis of cropland utilization and resource allocation under climate change," Technological Forecasting and Social Change, Elsevier, vol. 148(C).
    7. Kung, Chih-Chun, 2019. "A stochastic evaluation of economic and environmental effects of Taiwan's biofuel development under climate change," Energy, Elsevier, vol. 167(C), pages 1051-1064.
    8. Kung, Chih-Chun & Zhang, Ning & Choi, Yongrok & Xiong, Kai & Yu, Jiangli, 2019. "Effectiveness of crop residuals in ethanol and pyrolysis-based electricity production: A stochastic analysis under uncertain climate impacts," Energy Policy, Elsevier, vol. 125(C), pages 267-276.
    9. Butt, Tanveer A. & Mccarl, Bruce A., 2005. "An analytical framework for making long -term projections of undernourishment: A case study for agriculture in Mali," Food Policy, Elsevier, vol. 30(4), pages 434-451, August.

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