标题： 问题：气候变化经济分析中的空间相关性 显示英文标题

标题： Matters Arising: Spatial correlation in economic analysis of climate change

摘要： 气候变化对全球经济构成重大风险。 Kotz、Levermann 和 Wenz（《自然》，2024）对经济和气候数据进行了统计分析，发现到本世纪中叶将出现显著的预期损失，并且之后在高排放和低排放情景下的结果出现了分歧。 我们发现，由于次国家级层面存在大量未被考虑的空间相关性，他们的分析低估了不确定性，因此在正确修正后，他们的结果在统计上不再显著。 因此，他们的研究未能提供制定气候政策所需的稳健实证证据。 显示英文摘要

摘要： Climate change poses substantial risks to the global economy. Kotz, Levermann and Wenz (Nature, 2024) statistically analyzed economic and climate data, finding significant projected damages until mid-century and a divergence in outcomes between high- and low-emission scenarios thereafter. We find that their analysis underestimates uncertainty owing to large, unaccounted-for spatial correlations on the subnational level, rendering their results statistically insignificant when properly corrected. Thus, their study does not provide the robust empirical evidence needed to inform climate policy.