INCORPORATING CLIMATE UNCERTAINTY INTO ESTIMATES OF CLIMATE CHANGE IMPACTS

被引:142
作者
Burke, Marshall [1 ]
Dykema, John [2 ]
Lobell, David B. [1 ]
Miguel, Edward [3 ]
Satyanath, Shanker [4 ]
机构
[1] Stanford Univ, Stanford, CA 94305 USA
[2] Harvard Univ, Cambridge, MA 02138 USA
[3] Univ Calif Berkeley, Berkeley, CA 94720 USA
[4] NYU, New York, NY 10003 USA
关键词
AGRICULTURAL OUTPUT; RANDOM FLUCTUATIONS; ECONOMIC-IMPACTS; MODEL;
D O I
10.1162/REST_a_00478
中图分类号
F [经济];
学科分类号
020101 [政治经济学];
摘要
Quantitative estimates of the impacts of climate change on economic outcomes are important for public policy. We show that the vast majority of estimates fail to account for well-established uncertainty in future temperature and rainfall changes, leading to potentially misleading projections. We reexamine seven well-cited studies and show that accounting for climate uncertainty leads to a much larger range of projected climate impacts and a greater likelihood of worst-case outcomes, an important policy parameter. Incorporating climate uncertainty into future economic impact assessments will be critical for providing the best possible information on potential impacts.
引用
收藏
页码:461 / 471
页数:11
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