政治制度的质量对环境税的有效性有影响吗？二氧化碳排放的实证分析

IF 1.5 3区环境科学与生态学 Q4 ENVIRONMENTAL SCIENCES

Environmetrics Pub Date : 2025-02-12 DOI:10.1002/env.2895

Donatella Baiardi, Simona Scabrosetti

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引用次数: 0

摘要

以1996-2017年的39个国家为样本，我们分析了环境税与二氧化碳排放之间的关系是否取决于政治制度的质量。我们的研究结果表明，只有在民主制度更加巩固、公民社会参与度更高、政府腐败程度更低的国家，环境税收的增加才与二氧化碳排放量的减少有关。此外，二氧化碳排放与向不同税源的收入中性转移之间的关系不仅取决于政治制度的质量，还取决于政策制定者旨在纠正的外部性类型。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Does the Quality of Political Institutions Matter for the Effectiveness of Environmental Taxes? An Empirical Analysis on CO2 Emissions

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Does the Quality of Political Institutions Matter for the Effectiveness of Environmental Taxes? An Empirical Analysis on CO2 Emissions

Focusing on a sample of 39 countries in the period 1996–2017, we analyze whether the relationship between environmental taxes and CO₂ emissions depends on the quality of political institutions. Our results show that an increase in the environmental tax revenue is related to a reduction in CO₂ emissions only in countries with more consolidated democratic institutions, higher civil society participation, and less corrupt governments. Moreover, the relationship between CO₂ emissions and revenue neutral shifts to different tax sources depends not only on the quality of political institutions, but also on the kind of externality the policymaker aims at correcting.

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来源期刊

Environmetrics 环境科学-环境科学

CiteScore

2.90

自引率

17.60%

发文量

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.