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气候变化时代的灾害风险缓释

Mitigating Disaster Risks in the Age of Climate Change
Econometrica · 2023 · Harrison Hong、Neng Wang、Jinqiang Yang

中文摘要

仅靠减排无法应对全球变暖给气象灾害带来的后果。我们构建模型,分析社会如何通过适应来管理资本存量面临的灾害风险。随着社会逐步了解全球变暖对灾害发生的不利影响,最优适应措施——企业层面的努力与公共支出的组合——也会相应变化。要实现最优,除征收碳税外,还需要对资本征税。我们将该模型应用于国家层面对热带气旋所致洪灾的防控。学习机制可以解释多项实证发现,包括托宾q、股权风险溢价和无风险利率对灾害发生的反应。在存在学习的情形下,适应的价值高于反事实的无学习环境。由于不确定性的消除与内生适应性反应之间存在相互作用,学习会改变对碳的社会成本的预测。

Abstract

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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