气候变化
全球变暖
地球仪
自然资源经济学
赤道
空格(标点符号)
经济
人口
经济成本
工作(物理)
环境科学
纬度
地理
经济地理学
生态学
计算机科学
眼科
操作系统
工程类
生物
新古典经济学
社会学
机械工程
人口学
医学
大地测量学
作者
Klaus Desmet,Esteban Rossi‐Hansberg
标识
DOI:10.1146/annurev-economics-072123-044449
摘要
With average temperature ranging from −20°C at the North Pole to 30°C at the Equator and with global warming expected to reach 1.4°C to 4.5°C by the year 2100, it is clear that climate change will have vastly different effects across the globe. Given the abundance of land in northern latitudes, if population and economic activity could freely move across space, the economic cost of global warming would be greatly reduced. However, spatial frictions are real: migrants face barriers, trade and transportation are costly, physical infrastructure is not footloose, and knowledge embedded in clusters of economic activity diffuses only imperfectly. Thus, the economic cost of climate change is intimately connected to these spatial frictions. Building on earlier integrated assessment models (IAMs) that largely ignored space, in the past decade there has been significant progress in developing dynamic spatial integrated assessment models (S-IAMs) aimed at providing a more realistic evaluation of the economic cost of climate change, both locally and globally. This review discusses this progress and provides a guide for future work in this area.
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