Reduction of CO2 emissions, climate damage and the persistence of business cycles: A model of (de)coupling

IF 5 2区 经济学 Q1 ECONOMICS
Ettore Gallo
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引用次数: 0

Abstract

The paper develops a theoretical model to examine the effects of transitioning to green investment on business cycle dynamics and CO2 emissions reduction. Building on Goodwin’s (‘The Nonlinear Accelerator and the Persistence of Business Cycles’, Econometrica, pp. 1–17, 1951) endogenous business cycle theory, the paper models the shift from brown to green investment as a logistic diffusion process. This framework captures the short-run procyclicality of emissions while allowing for both coupling and decoupling scenarios between output and emissions over the business cycles. The model demonstrates that the investment channel’s impact on emissions varies depending on the transition’s timing, magnitude, and sensitivity to green–brown investment dynamics. Furthermore, the paper shows that the integration of climate damage can result in milder expansion phases and sharper downturns, potentially offsetting the positive effects of the green transition. The analysis contributes to the understanding of short-run economy-ecology feedback mechanisms, with the model’s flexibility capturing varying degrees of decoupling between emissions and output, thus accommodating scenarios in both advanced economies and emerging markets.
减少二氧化碳排放、气候破坏和商业周期的持续:一个(去)耦合模型
本文建立了一个理论模型来考察绿色投资对经济周期动态和二氧化碳减排的影响。基于古德温的内生经济周期理论(《非线性加速器和商业周期的持久性》,《计量经济学》,1951年第1-17页),本文将从棕色投资到绿色投资的转变建模为一个物流扩散过程。该框架捕捉了排放的短期顺周期性,同时考虑了商业周期中产出与排放之间的耦合和解耦情景。该模型表明,投资渠道对排放的影响取决于转型的时间、幅度和对绿棕色投资动态的敏感性。此外,本文还表明,气候损害的整合可能导致更温和的扩张阶段和更剧烈的衰退,可能抵消绿色转型的积极影响。该分析有助于理解短期经济-生态反馈机制,该模型的灵活性捕捉了排放与产出之间不同程度的脱钩,从而适应了发达经济体和新兴市场的情景。
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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来源期刊
CiteScore
9.60
自引率
4.90%
发文量
159
期刊介绍: Structural Change and Economic Dynamics publishes articles about theoretical, applied and methodological aspects of structural change in economic systems. The journal publishes work analysing dynamics and structural breaks in economic, technological, behavioural and institutional patterns.
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