Quantifying the Socio-Economic Impacts of Decarbonization Policy using Integrated Assessment Modeling

A. Castro, R. Quillian, S. Zajec
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Abstract

With net-zero emission goals by 2050 becoming the standard in climate policy initiatives at regional, national, and international scales, policymakers and business leaders are left with the questions of how to implement change. Achieving these emission goals requires quantitative tools for understanding how potential policies impact net emissions and existing economic and industrial systems. Computable general equilibrium (CGE) models are often used as a tool for analyzing the response of an economy to policy, technology, or other shocks, but CGE models are not capable of techno-economic modeling of the renewable energy and carbon dioxide removal technologies that will need to be deployed to achieve warming limits. Integrated models, in contrast, such as the Global Change Analysis Model (GCAM) are able to simulate emerging technologies but lack the resolution and regional fidelity of CGE models. In this study CGE and GCAM are soft linked to analyze the effect of implementing high, low, and zero carbon taxes on the electricity generation technologies and labor demand for these technologies by 2060. We find that the implementation of a carbon tax results in significant growth in labor and investment in the electricity sector, with a large proportion of this growth in the wind and solar industries.
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利用综合评估模型量化脱碳政策的社会经济影响
随着2050年的净零排放目标成为地区、国家和国际范围内气候政策举措的标准,政策制定者和商界领袖面临着如何实施变革的问题。实现这些排放目标需要量化工具,以了解潜在政策如何影响净排放以及现有的经济和工业系统。可计算一般均衡(CGE)模型通常被用作分析经济对政策、技术或其他冲击的反应的工具,但CGE模型无法对可再生能源和二氧化碳去除技术进行技术-经济建模,而这些技术和技术将需要部署以实现变暖限制。相比之下,集成模型,如全球变化分析模型(GCAM)能够模拟新兴技术,但缺乏CGE模型的分辨率和区域保真度。在本研究中,CGE和GCAM软链接来分析到2060年实施高、低和零碳税对发电技术和这些技术的劳动力需求的影响。我们发现,碳税的实施导致电力部门劳动力和投资的显著增长,其中很大一部分增长来自风能和太阳能行业。
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