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α: calibrated so average coauthorship-adjusted count equals average raw count
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 soybean 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 soybean sectors in the past decade; and (iii) corn and soybean yields are projected to decline by 3–12% and 7–19%, respectively, by 2100.