Carbon Tax Versus Renewable Energy Innovation: Theoretical Insights and Empirical Evidence

IF 1.5 3区 环境科学与生态学 Q4 ENVIRONMENTAL SCIENCES
Environmetrics Pub Date : 2025-03-23 DOI:10.1002/env.70010
Amit Roy, Pu Chen, Willi Semmler
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引用次数: 0

Abstract

In European countries, carbon pricing is often viewed as a primary strategy to combat climate change and climate risks by reducing carbon emissions and driving investment into cleaner energy sources. Decarbonization has also been suggested by directed technical change, which implements innovative renewable energy technology. We study the effectiveness of both policies for selected Northern EU countries. In a model-based investigation, we first compare optimizing and behavioral drivers of decarbonization with a focus on the two decarbonization policies. Econometrically we use local projection and the VAR method to explore the effects of both policies, carbon tax and directed technical change on GDP and emission reduction. Our results show that—although both policies are needed–significant technology-oriented policy actions on the supply side of renewable energy appear to be required to accelerate the decarbonization of the economies.

碳税与可再生能源创新:理论洞察与实证证据
在欧洲国家,碳定价通常被视为通过减少碳排放和推动对清洁能源的投资来应对气候变化和气候风险的主要战略。定向技术变革也提出了脱碳的建议,它实施了创新的可再生能源技术。我们研究了这两项政策在选定的北欧国家的有效性。在一项基于模型的调查中,我们首先比较了两种脱碳政策的优化和行为驱动因素。在计量经济学上,我们使用地方预测和VAR方法来探讨政策、碳税和定向技术变革对GDP和减排的影响。我们的研究结果表明,尽管这两项政策都是必要的,但似乎需要在可再生能源供应方面采取重大的以技术为导向的政策行动,以加速经济的脱碳。
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
Environmetrics
Environmetrics 环境科学-环境科学
CiteScore
2.90
自引率
17.60%
发文量
67
审稿时长
18-36 weeks
期刊介绍: Environmetrics, the official journal of The International Environmetrics Society (TIES), an Association of the International Statistical Institute, is devoted to the dissemination of high-quality quantitative research in the environmental sciences. The journal welcomes pertinent and innovative submissions from quantitative disciplines developing new statistical and mathematical techniques, methods, and theories that solve modern environmental problems. Articles must proffer substantive, new statistical or mathematical advances to answer important scientific questions in the environmental sciences, or must develop novel or enhanced statistical methodology with clear applications to environmental science. New methods should be illustrated with recent environmental data.
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