This paper studies the impact of climate change on agricultural productivity in Bangladesh for the period 1975-2008 for 23 regions. First, the study relies on descriptive statistics and maps to explore the long term changes at both country and local level in climatic variables such as temperature, rainfall, humidity and sunshine. Second, it uses regression models to estimate the impact of climate change on agricultural productivity. Unlike the existing literature, this study exploits within-region time series variations (regional fixed effect) to estimate the impact of long term changes in climatic variables on agricultural productivity in order to control for regional differences, both observed and unobserved. The results show that long term changes in means and standard deviations of the climatic variables have differential impacts on the productivity of rice and thus the overall impact of climate change on agriculture is not unambiguous.
|Name||Economics Discussion Papers|