气候变化
反事实思维
热带气旋
全球变暖
极端天气
库存(枪支)
洪水(心理学)
经济
自然灾害
自然资源经济学
衡平法
业务
环境资源管理
地理
政治学
气象学
考古
心理学
法学
哲学
认识论
生物
生态学
心理治疗师
作者
Harrison Hong,Neng Wang,Jinqiang Yang
出处
期刊:Econometrica
[Wiley]
日期:2023-01-01
卷期号:91 (5): 1763-1802
被引量:31
摘要
Emissions abatement alone cannot address the consequences of global warming for weather disasters. We model how society adapts to manage disaster risks to capital stock. Optimal adaptation—a mix of firm‐level efforts and public spending—varies as society learns about the adverse consequences of global warming for disaster arrivals. Taxes on capital are needed alongside those on carbon to achieve the first best. We apply our model to country‐level control of flooding from tropical cyclones. Learning rationalizes empirical findings, including the responses of Tobin's q , equity risk premium, and risk‐free rate to disaster arrivals. Adaptation is more valuable under learning than a counterfactual no‐learning environment. Learning alters social‐cost‐of‐carbon projections due to the interaction of uncertainty resolution and endogenous adaptive response.
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