How clean capital slows down disinvestment of carbon-intensive capital in the low-carbon transition

IF 1.9 3区 经济学 Q2 ECONOMICS
Wei Jin , Frederick van der Ploeg , Lin Zhang
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引用次数: 0

Abstract

This paper explores a novel mechanism through which transitions to a low-carbon economy can proceed smoothly without excessive disinvestment in carbon-intensive capital. The mechanism is analyzed in a Lucas-Uzawa green growth model with carbon-temperature dynamics. Due to the externalities associated with climate damages and learning by doing, insufficient resources are allocated towards investment in clean capital in the business-as-usual market economy. Without green subsidies to stimulate clean capital investment, pricing emissions to internalize the social cost of carbon causes disinvestment in carbon-intensive capital and increases the costs of low-carbon transitions. Pricing emissions and subsidizing clean investment yield a higher return on clean capital and boost clean capital accumulation. This curbs disinvestment in carbon-intensive capital and limits carbon emissions. This highlights the positive role of clean capital for smoothing low-carbon transitions.

清洁资本如何在低碳转型中减缓碳密集型资本的撤资速度
本文探讨了一种新的机制,通过这种机制,向低碳经济的过渡可以顺利进行,而不会过度减少对碳密集型资本的投资。本文在具有碳-温度动态的卢卡斯-乌泽绿色增长模型中分析了这一机制。由于与气候破坏和边做边学相关的外部效应,在一切照旧的市场经济中,用于清洁资本投资的资源分配不足。如果没有绿色补贴来刺激清洁资本投资,通过排放定价来内化碳的社会成本,就会导致对碳密集资本的投资减少,并增加低碳转型的成本。对排放进行定价并对清洁投资进行补贴,可以提高清洁资本的回报率,促进清洁资本的积累。这就抑制了对碳密集资本的撤资,限制了碳排放。这凸显了清洁资本对于平滑低碳转型的积极作用。
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来源期刊
CiteScore
3.10
自引率
10.50%
发文量
199
期刊介绍: The journal provides an outlet for publication of research concerning all theoretical and empirical aspects of economic dynamics and control as well as the development and use of computational methods in economics and finance. Contributions regarding computational methods may include, but are not restricted to, artificial intelligence, databases, decision support systems, genetic algorithms, modelling languages, neural networks, numerical algorithms for optimization, control and equilibria, parallel computing and qualitative reasoning.
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