Accounting for spatial economic interactions at local and meso scales in integrated assessment model (IAM) frameworks: challenges and recent progress
Accounting for spatial economic interactions at local and meso scales in integrated assessment model (IAM) frameworks: challenges and recent progress
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DOI：
10.1088/1748-9326/acbce6
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发表时间：
2023-02
影响因子：
6.7
通讯作者：
B. Cultice;E. Irwin;Mackenzie Jones
中科院分区：
文献类型：
--
作者：
B. Cultice;E. Irwin;Mackenzie Jones
评估和管理气候变化影响的科学和政策需求催生了新的耦合、多尺度综合评估模型（IAM）框架，这些框架将全球气候和经济进程与地方和中尺度的人类-环境系统的高分辨率数据和模型联系起来（Fisher-Vanden和Weyant 2020 Annu.雷苏尔牧师12 471-87）。一个核心挑战是在多个尺度上解释人、公司和经济活动在空间上的基本相互依存关系。这就需要建模方法，可以在每个尺度上结合相关的空间细节，同时也确保与空间变化的反馈和跨尺度的相互作用的一致性-经济学家称之为空间平衡的条件。在本文中，我们提供了一个概述经济学家如何思考和模型的空间相互作用，特别是在地方一级。我们描述的挑战和最新进展占更大的空间异质性在个人（场，代理）尺度和异构空间相互作用和动态一致的IAM框架。我们的结论是，最显着的进展是在推进全球IAM与空间异质性和动态嵌入空间平衡框架，并已取得较少的进展，在高度详细的多尺度IAM的空间平衡的功能。
The scientific and policy needs to assess and manage climate change impacts have spawned new coupled, multi-scale integrated assessment model (IAM) frameworks that link global climate and economic processes with high-resolution data and models of human-environmental systems at local and meso scales (Fisher-Vanden and Weyant 2020 Annu. Rev. Resour. Econ. 12 471–87). A central challenge is in accounting for the fundamental interdependence of people, firms, and economic activities across space at multiple scales. This requires modeling approaches that can incorporate the relevant spatial details at each scale while also ensure consistency with spatially varying feedbacks and interactions across scales—a condition economists refer to as spatial equilibrium. In this paper, we provide an overview of how economists think about and model spatial interactions, particularly those at the local level. We describe challenges and recent progress in accounting for greater spatial heterogeneity at individual (field, agent) scales and incorporating heterogeneous spatial interactions and dynamics into consistent IAM frameworks. We conclude that the most notable progress is in advancing global IAMs with spatial heterogeneity and dynamics embedded in spatial equilibrium frameworks and that less progress has been made in incorporating features of spatial equilibrium into highly detailed multi-scale IAMs.