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Temperature thresholds and the effect of warming on American farmland value

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  • Emanuele Massetti

    (Georgia Institute of Technology)

  • Robert Mendelsohn

    (Yale University)

Abstract

Many studies suggest that warming is harmful to American crop yields because of a temperature threshold near 30 °C whereupon yields abruptly fall. This study uses a flexible daily temperature bin specification in a Ricardian model to measure the response of farmland value to daily temperature. The analysis does not find evidence that high temperatures are particularly harmful to farmland or cropland value in the Eastern United States. Instead, temperature has a smooth hill-shaped effect on farmland value with a peak temperature of about 18 °C. Nonetheless, the Ricardian model predicts that cropland values would fall linearly by 15%/°C with uniform warming, while farmland values of mixed farms would fall far less.

Suggested Citation

  • Emanuele Massetti & Robert Mendelsohn, 2020. "Temperature thresholds and the effect of warming on American farmland value," Climatic Change, Springer, vol. 161(4), pages 601-615, August.
  • Handle: RePEc:spr:climat:v:161:y:2020:i:4:d:10.1007_s10584-020-02694-6
    DOI: 10.1007/s10584-020-02694-6
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    References listed on IDEAS

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    1. Gammans, Matthew & Mérel, Pierre & Ortiz-Bobea, Ariel, 2016. "The impact of climate change on cereal yields: Statistical evidence from France," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 236322, Agricultural and Applied Economics Association.
    2. Ortiz-Bobea, Ariel, 2013. "Is Weather Really Additive in Agricultural Production? Implications for Climate Change Impacts," RFF Working Paper Series dp-13-41, Resources for the Future.
    3. Wolfram Schlenker & W. Michael Hanemann & Anthony C. Fisher, 2006. "The Impact of Global Warming on U.S. Agriculture: An Econometric Analysis of Optimal Growing Conditions," The Review of Economics and Statistics, MIT Press, vol. 88(1), pages 113-125, February.
    4. Robert Mendelsohn & Ariel Dinar, 2009. "Climate Change and Agriculture," Books, Edward Elgar Publishing, number 12990.
    5. Mendelsohn, Robert & Nordhaus, William D & Shaw, Daigee, 1994. "The Impact of Global Warming on Agriculture: A Ricardian Analysis," American Economic Review, American Economic Association, vol. 84(4), pages 753-771, September.
    6. Wolfram Schlenker & W. Michael Hanemann & Anthony C. Fisher, 2005. "Will U.S. Agriculture Really Benefit from Global Warming? Accounting for Irrigation in the Hedonic Approach," American Economic Review, American Economic Association, vol. 95(1), pages 395-406, March.
    7. Olivier Deschênes & Michael Greenstone, 2007. "The Economic Impacts of Climate Change: Evidence from Agricultural Output and Random Fluctuations in Weather," American Economic Review, American Economic Association, vol. 97(1), pages 354-385, March.
    8. Ariel Ortiz‐Bobea, 2020. "The Role of Nonfarm Influences in Ricardian Estimates of Climate Change Impacts on US Agriculture," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(3), pages 934-959, May.
    9. Robert O. Mendelsohn & Emanuele Massetti, 2017. "The Use of Cross-Sectional Analysis to Measure Climate Impacts on Agriculture: Theory and Evidence," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 11(2), pages 280-298.
    10. Elodie Blanc & Wolfram Schlenker, 2017. "The Use of Panel Models in Assessments of Climate Impacts on Agriculture," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 11(2), pages 258-279.
    11. Duan, Naihua, et al, 1983. "A Comparison of Alternative Models for the Demand for Medical Care," Journal of Business & Economic Statistics, American Statistical Association, vol. 1(2), pages 115-126, April.
    12. Francis Annan & Wolfram Schlenker, 2015. "Federal Crop Insurance and the Disincentive to Adapt to Extreme Heat," American Economic Review, American Economic Association, vol. 105(5), pages 262-266, May.
    13. Nathan P. Hendricks, 2018. "Potential Benefits from Innovations to Reduce Heat and Water Stress in Agriculture," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 5(3), pages 545-576.
    14. Massetti, Emanuele & Mendelsohn, Robert & Chonabayashi, Shun, 2016. "How well do degree days over the growing season capture the effect of climate on farmland values?," Energy Economics, Elsevier, vol. 60(C), pages 144-150.
    15. Conley, T. G., 1999. "GMM estimation with cross sectional dependence," Journal of Econometrics, Elsevier, vol. 92(1), pages 1-45, September.
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