GTAP Events: Center Seminar Series
"The Distributional Impacts of Climate Change on Indian Agriculture: A Quantile Regression Approach"by Chandra Kiran Krishnamurthy
Using a 30-year dataset on district-level yields, with more than 200 districts, and pairing it with newly available gridded weather datasets, this paper estimates the impact of climate change on major food crops (Rice and Wheat) for India. Unlike previous work which focusses on impacts on the conditional mean, the current approach, using newly developed methods for fixed effects in the quantile regression context, evaluates the impact on yields at different locations along full conditional distribution of yield. This approach allows for a better understanding of the differential impacts of climate change on yield, even within a given region. Further, this paper allows for differential impacts of temperature and irrigation on crops grown in different seasons. This paper reports substantial impacts on Wheat and more moderate, or even mildly positive impacts, on Rice; these impacts are further different along the distribution for Wheat and Rice. These results have substantial implications for food security and malnutrition for India.
Date/Time: 2/3/2014 04:00 PM - 05:30 PM
Location: KRAN 661
Last Modified: 4/10/2018 2:05:52 PM
