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The effects of climate change on crop and livestock choices

Author

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  • Basurto-Hernandez, S.
  • Maddison, D.
  • Banerjee, A.

Abstract

This paper investigates the effect of climate change on crop and livestock choices using two discrete choice models: Multinomial Logit (MNL) and Nested Logit (NL) models. Taking advantage of a new-plot level dataset for Mexico we identify the effect of climate on agriculturalists observed choices. Using Geographical Information Systems (GIS) we combine data on 31 types of crops and livestock encountered in 219,985 and 168,265 plots corresponding to the 2012 and 2014 agricultural years with climate data. Also included in the analysis are the expected output and input prices, soil types, indicators of access to markets and information, socio-demographic characteristics of the farmer, and subsidy payments. We find strong evidence about the inappropriateness of the Independence of Irrelevant Alternatives (IIA) assumption underpinning the MNL model. This finding leads to remarkable differences in the predictions from the MNL and NL models. Speculations about the effect of climate change on farmers choices suggest that in the event of a warmer and drier future, Mexican agriculturalists will move their production efforts from alfalfa, cacao, beef cattle, grapes, onions, oranges, red tomato, soy, and sugar cane to bananas, barley, lemon, squash and potatoes. Acknowledgement :

Suggested Citation

  • Basurto-Hernandez, S. & Maddison, D. & Banerjee, A., 2018. "The effects of climate change on crop and livestock choices," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277517, International Association of Agricultural Economists.
  • Handle: RePEc:ags:iaae18:277517
    DOI: 10.22004/ag.econ.277517
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    References listed on IDEAS

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    1. Qunying Luo, 2011. "Temperature thresholds and crop production: a review," Climatic Change, Springer, vol. 109(3), pages 583-598, December.
    2. Moniruzzaman, Shaikh, 2015. "Crop choice as climate change adaptation: Evidence from Bangladesh," Ecological Economics, Elsevier, vol. 118(C), pages 90-98.
    3. Kurukulasuriya, Pradeep & Mendelsohn, Robert, 2008. "Crop switching as a strategy for adapting to climate change," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 2(01), pages 1-22, March.
    4. Seo, S. Niggol & McCarl, Bruce A. & Mendelsohn, Robert, 2010. "From beef cattle to sheep under global warming? An analysis of adaptation by livestock species choice in South America," Ecological Economics, Elsevier, vol. 69(12), pages 2486-2494, October.
    5. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555, January.
    6. 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.
    7. Seo, Sungno Niggol & Mendelsohn, Robert, 2007. "Climate change adaptation in Africa : a microeconomic analysis of livestock choice," Policy Research Working Paper Series 4277, The World Bank.
    8. Brian Reed & Robert Mendelsohn & Babatunde O. Abidoye, 2017. "The Economics Of Crop Adaptation To Climate Change In South-East Asia," Climate Change Economics (CCE), World Scientific Publishing Co. Pte. Ltd., vol. 8(03), pages 1-20, August.
    9. Carlo Fezzi & Ian Bateman, 2015. "The Impact of Climate Change on Agriculture: Nonlinear Effects and Aggregation Bias in Ricardian Models of Farmland Values," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 2(1), pages 57-92.
    10. Hassan, Rashid M. & Nhemachena, Charles, 2008. "Determinants of African farmers’ strategies for adapting to climate change: Multinomial choice analysis," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 2(01), pages 1-22, March.
    11. Florian Heiss, 2002. "Structural choice analysis with nested logit models," Stata Journal, StataCorp LLC, vol. 2(3), pages 227-252, August.
    12. Hausman, Jerry A & Wise, David A, 1978. "A Conditional Probit Model for Qualitative Choice: Discrete Decisions Recognizing Interdependence and Heterogeneous Preferences," Econometrica, Econometric Society, vol. 46(2), pages 403-426, March.
    13. Simon Cheng & J. Scott Long, 2007. "Testing for IIA in the Multinomial Logit Model," Sociological Methods & Research, , vol. 35(4), pages 583-600, May.
    14. Lun Ou & Robert Mendelsohn, 2017. "An Analysis Of Climate Adaptation By Livestock Farmers In The Asian Tropics," Climate Change Economics (CCE), World Scientific Publishing Co. Pte. Ltd., vol. 8(03), pages 1-15, August.
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