Does adaptation to climate change provide food security? A micro-perspective from Ethiopia
We examine the driving forces behind farmersï¿½ decisions to adapt to climate change, and the impact of adaptation on farmersï¿½ food production. We investigate whether there are differences in the food production functions of farm households that adapted and those that did not adapt. We estimate a simultaneous equations model with endogenous switching to account for the heterogeneity in the decision to adapt or not, and for unobservable characteristics of farmers and their farm. We compare the expected food production under the actual and counterfactual cases that the farm household adapted or not to climate change. We find that the group of farm households that adapted has systematically different characteristics than the group of farm households that did not adapt. The relationship between production and average temperature is inverted U-shaped for farm households that adapted, while it is U-shaped for farm households that did not adapt, and vice versa in the case of precipitation. We find that adaptation increases food production, however, the impact of adaptation on food production is smaller for the farm households that actually did adapt than for the farm households that did not adapt in the counterfactual case that they adapted.
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- Solis, Daniel & Bravo-Ureta, Boris E. & Quiroga, Ricardo E., 2007.
"Soil conservation and technical efficiency among hillside farmers in Central America: a switching regression model,"
Australian Journal of Agricultural and Resource Economics,
Australian Agricultural and Resource Economics Society, vol. 51(4), pages -, December.
- Daniel Solís & Boris E. Bravo-Ureta & Ricardo E. Quiroga, 2007. "Soil conservation and technical efficiency among hillside farmers in Central America: a switching regression model ," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 51(4), pages 491-510, December.
- Solís, Daniel & Bravo-Ureta, Boris & Quiroga, Ricardo E., 2006. "Soil Conservation and Technical Efficiency Among Hillside Farmers in Central America: A Switching Regression Model," Efficiency Series Papers 2006/01, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
- Michael Lokshin & Zurab Sajaia, 2004. "Maximum likelihood estimation of endogenous switching regression models," Stata Journal, StataCorp LP, vol. 4(3), pages 282-289, September.
- Heckman, J J & Tobias, Justin & Vytlacil, Ed, 2001.
"Four Parameters of Interest in the Evaluation of Social Programs,"
Staff General Research Papers Archive
12022, Iowa State University, Department of Economics.
- James Heckman & Justin L. Tobias & Edward Vytlacil, 2001. "Four Parameters of Interest in the Evaluation of Social Programs," Southern Economic Journal, Southern Economic Association, vol. 68(2), pages 210-223, October.
- David W. Carter & J. Walter Milon, 2005. "Price Knowledge in Household Demand for Utility Services," Land Economics, University of Wisconsin Press, vol. 81(2).
- 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.
- Hartman, Raymond S, 1991. "A Monte Carlo Analysis of Alternative Estimators in Models Involving Selectivity," Journal of Business & Economic Statistics, American Statistical Association, vol. 9(1), pages 41-49, January.
- Nelson, Forrest D., 1984. "Efficiency of the two-step estimator for models with endogenous sample selection," Journal of Econometrics, Elsevier, vol. 24(1-2), pages 181-196.
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