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气候变化与冲突的机会成本。

Climate change and the opportunity cost of conflict.

机构信息

Department of Civil and Environmental Engineering and Earth Sciences, University of Notre Dame, Notre Dame, IN 46556.

Department of Economics, University of Notre Dame, Notre Dame, IN 46556;

出版信息

Proc Natl Acad Sci U S A. 2020 Jan 28;117(4):1935-1940. doi: 10.1073/pnas.1914829117. Epub 2020 Jan 13.

Abstract

A growing empirical literature associates climate anomalies with increased risk of violent conflict. This association has been portrayed as a bellwether of future societal instability as the frequency and intensity of extreme weather events are predicted to increase. This paper investigates the theoretical foundation of this claim. A seminal microeconomic model of opportunity costs-a mechanism often thought to drive climate-conflict relationships-is extended by considering realistic changes in the distribution of climate-dependent agricultural income. Results advise caution in using empirical associations between short-run climate anomalies and conflicts to predict the effect of sustained shifts in climate regimes: Although war occurs in bad years, conflict may decrease if agents expect more frequent bad years. Theory suggests a nonmonotonic relation between climate variability and conflict that emerges as agents adapt and adjust their behavior to the new income distribution. We identify 3 measurable statistics of the income distribution that are each unambiguously associated with conflict likelihood. Jointly, these statistics offer a unique signature to distinguish opportunity costs from competing mechanisms that may relate climate anomalies to conflict.

摘要

越来越多的实证文献将气候异常与暴力冲突风险的增加联系起来。由于预测到极端天气事件的频率和强度将会增加,这种关联被描绘为未来社会不稳定的前兆。本文探讨了这一说法的理论基础。一个关于机会成本的开创性微观经济模型——这一机制通常被认为是推动气候-冲突关系的因素——通过考虑气候依赖型农业收入分配的实际变化进行了扩展。结果表明,在使用短期气候异常与冲突之间的实证关联来预测气候制度持续变化的影响时要谨慎:尽管战争发生在恶劣的年份,但如果参与者预期恶劣年份更频繁,冲突可能会减少。理论表明,气候变率与冲突之间存在一种非单调关系,这种关系是由于参与者适应和调整其行为以适应新的收入分配而出现的。我们确定了收入分配的 3 个可衡量的统计数据,这些数据都与冲突可能性明确相关。这三个统计数据共同提供了一个独特的特征,可以将机会成本与可能与气候异常相关的竞争机制区分开来。

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