开源工具,地方CGE建模与碳泄漏的说明性分析。

IF 2.2 Q2 ECONOMICS Journal of Global Economic Analysis Pub Date : 2019-01-01 DOI:10.21642/jgea.040201af
Thomas F Rutherford, Andrew Schreiber
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引用次数: 5

摘要

本文介绍了威斯康星州国家数据联盟(WiNDC)框架,该框架基于可用于美国次国家经济均衡分析的公开数据集生成自一致的账户。我们描述了用于生成区域社会核算矩阵的过程,以及与构建的数据集一致的校准静态多区域,多部门可计算的一般均衡模型。作为说明,我们展示了如何将核心模型应用于能源-环境问题的分析。我们使用核心模型的能源经济扩展来评估几个州一级温室气体减排建议的有效性。次国家的减排措施导致碳泄漏——受控地区的强制减排可能会被不受控制的管辖区的排放增加所抵消。使用基于windc的模型,我们计算泄漏率,并显示泄漏率如何依赖于基础贸易模型。我们的计算证明了数据和建模假设对政策实验模拟的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Tools for Open Source, Subnational CGE Modeling with an Illustrative Analysis of Carbon Leakage.

This paper introduces the Wisconsin National Data Consortium (WiNDC) framework for producing self-consistent accounts based on publicly available datasets that can be used in sub-national economic equilibrium analysis in the United States. We describe the process used to generate regional social accounting matrices and a calibrated static multi-regional, multi-sectoral computable general equilibrium model conformal with the constructed dataset. As illustration, we show how the core model can be applied for the analysis of energy-environment issues. We use an energy-economy extension of the core model to assess the effectiveness of several state level greenhouse gas mitigation proposals. Sub-national abatement measures result in carbon leakage - mandated reductions in controlled areas may be vitiated by increased emissions in uncontrolled jurisdictions. Using a WiNDC-based model, we calculate leakage rates and show how these depend on the underlying trade model. Our calculations demonstrate the importance of both data and modeling assumptions for the simulation of policy experiments.

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CiteScore
5.60
自引率
12.00%
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