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Climate Change Adaptation and Shifts in Land Use for Major Crops in the U.S

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  • Cho, Sung Ju
  • McCarl, Bruce A.
  • Wu, Ximing

Abstract

This study examines how the U.S. crop mix pattern has responded to climate and in turn the potential effects of projected climate change. We find that there are significant effects of temperature and precipitation on the crop choice decisions.

Suggested Citation

  • Cho, Sung Ju & McCarl, Bruce A. & Wu, Ximing, 2014. "Climate Change Adaptation and Shifts in Land Use for Major Crops in the U.S," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170015, Agricultural and Applied Economics Association.
  • Handle: RePEc:ags:aaea14:170015
    DOI: 10.22004/ag.econ.170015
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    References listed on IDEAS

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    1. Witsanu Attavanich & Bruce A. McCarl & Zafarbek Ahmedov & Stephen W. Fuller & Dmitry V. Vedenov, 2013. "Effects of climate change on US grain transport," Nature Climate Change, Nature, vol. 3(7), pages 638-643, July.
    2. Douglas J. Miller & Andrew J. Plantinga, 1999. "Modeling Land Use Decisions with Aggregate Data," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(1), pages 180-194.
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    6. Hertel, Thomas W., 2010. "The Global Supply and Demand for Agricultural Land in 2050: A Perfect Storm in the Making?," 2010 Annual Meeting, July 25-27, 2010, Denver, Colorado 92639, Agricultural and Applied Economics Association.
    7. John Mullahy, 2010. "Multivariate Fractional Regression Estimation of Econometric Share Models," NBER Working Papers 16354, National Bureau of Economic Research, Inc.
    8. Esmeralda A. Ramalho & Joaquim J.S. Ramalho & José M.R. Murteira, 2011. "Alternative Estimating And Testing Empirical Strategies For Fractional Regression Models," Journal of Economic Surveys, Wiley Blackwell, vol. 25(1), pages 19-68, February.
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    10. Steven F. Koch, 2010. "Fractional Multinomial Response Models With An Application To Expenditure Shares," Working Papers 201021, University of Pretoria, Department of Economics.
    11. Seo, S. Niggol & Mendelsohn, Robert, 2008. "An analysis of crop choice: Adapting to climate change in South American farms," Ecological Economics, Elsevier, vol. 67(1), pages 109-116, August.
    12. J. Scott Long & Jeremy Freese, 2006. "Regression Models for Categorical Dependent Variables using Stata, 2nd Edition," Stata Press books, StataCorp LP, edition 2, number long2, March.
    13. Bruce A. McCarl & Xavier Villavicencio & Ximing Wu, 2008. "Climate Change and Future Analysis: Is Stationarity Dying?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 90(5), pages 1241-1247.
    14. Woodland, A. D., 1979. "Stochastic specification and the estimation of share equations," Journal of Econometrics, Elsevier, vol. 10(3), pages 361-383, August.
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    16. Miller, Douglas & Plantinga, Andrew J., 1999. "Modeling Land Use Decisions with Aggregate Data," Staff General Research Papers Archive 1487, Iowa State University, Department of Economics.
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    Cited by:

    1. Zhang, Yuquan W. & Mu, Jianhong E. & Musumba, Mark, 2016. "The Role of Climate Factors in Shaping China’s Crop Mix: An Empirical Exploration," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235387, Agricultural and Applied Economics Association.
    2. Tiziana Pagnani & Elisabetta Gotor & Francesco Caracciolo, 2021. "Adaptive strategies enhance smallholders’ livelihood resilience in Bihar, India," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 13(2), pages 419-437, April.
    3. Call, Maia & Gray, Clark & Jagger, Pamela, 2019. "Smallholder responses to climate anomalies in rural Uganda," World Development, Elsevier, vol. 115(C), pages 132-144.

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    Keywords

    Environmental Economics and Policy; Land Economics/Use;

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