To move China's climate policy forward, improved analyses of climate impacts on economic sectors using rigorous methodology and high quality data are called for. We develop an empirical framework, using fine-scale meteorological data, to estimate the link between corn and soy bean yields and weather in China. We find that (i) there are nonlinear and inverted U-shaped relationships between crop yields and weather variables; (ii) global warming has caused an economic loss of about $820 million to China's corn and soy bean sectors in the past decade; and (iii) corn and soy bean yields are projected to decline by 3–12% and 7–19%, respectively, by 2100.
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