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. (C) 2015 Elsevier Inc. All rights reserved.
机构:
Liangxiang Coll Pk, Grad Sch Chinese Acad Social Sci, Beijing 102488, Peoples R ChinaLiangxiang Coll Pk, Grad Sch Chinese Acad Social Sci, Beijing 102488, Peoples R China
Liu, Jie
Liu, Changyi
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Natl Climate Ctr, Beijing 100081, Peoples R ChinaLiangxiang Coll Pk, Grad Sch Chinese Acad Social Sci, Beijing 102488, Peoples R China
Liu, Changyi
Wen, Yan
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Natl Climate Ctr, Beijing 100081, Peoples R ChinaLiangxiang Coll Pk, Grad Sch Chinese Acad Social Sci, Beijing 102488, Peoples R China