The Impact of Global Warming on U.S. Agriculture: An Econometric Analysis of Optimal Growing Conditions
We link farmland values to climatic, soil, and socioeconomic variables for counties east of the 100th meridian, the historic boundary of agriculture not primarily dependent on irrigation. Degree days, a non-linear transformation of the climatic variables suggested by agronomic experiments as more relevant to crop yield gives an improved fit and increased robustness. Estimated coefficients are consistent with the experimental results. The model is employed to estimate the potential impacts on farmland values for a range of recent warming scenarios. The predictions are very robust and more than 75% of the counties in our sample show a statistically significant effect, ranging from moderate gains to large losses, with losses in the aggregate that can become quite large under scenarios involving sustained heavy use of fossil fuels.
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| Date of creation: | 01 Oct 2004 |
| Handle: | RePEc:cdl:agrebk:qt0801j7s0 |
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References listed on IDEAS
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- Richard M. Adams, 1989. "Global Climate Change and Agriculture: An Economic Perspective," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 71(5), pages 1272-1279.
- 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.
- Schlenker, Wolfram & Hanemann, W. Michael & Fisher, Anthony C., 2004. "Will U.S. Agriculture Really Benefit from Global Warming? Accounting for Irrigation in the Hedonic Approach," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt65s781bh, Department of Agricultural & Resource Economics, UC Berkeley.
- Kathleen P. Bell & Nancy E. Bockstael, 2000. "Applying the Generalized-Moments Estimation Approach to Spatial Problems Involving Microlevel Data," The Review of Economics and Statistics, MIT Press, vol. 82(1), pages 72-82, February.
- Diebold, Francis X & Mariano, Roberto S, 2002. "Comparing Predictive Accuracy," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 134-144, January.
- Diebold, Francis X & Mariano, Roberto S, 1995. "Comparing Predictive Accuracy," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(3), pages 253-263, July.
- Francis X. Diebold & Robert S. Mariano, 1994. "Comparing Predictive Accuracy," NBER Technical Working Papers 0169, National Bureau of Economic Research, Inc.
- Roy Darwin, 1999. "The Impact of Global Warming on Agriculture: A Ricardian Analysis: Comment," American Economic Review, American Economic Association, vol. 89(4), pages 1049-1052, September.
- Philippe Robert-Demontrond & R. Ringoot, 2004. "Introduction," Post-Print halshs-00081823, HAL. Full references (including those not matched with items on IDEAS)
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