Revisiting the carbon emissions hypothesis in the developing and developed countries: a new panel cointegration approach

IF 3 4区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES
Du, Chonghua, Xue, Jing, Wang, Weiguo, Tong, Jian
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引用次数: 2

Abstract

Since global warming worsens with economic development and emitted CO2 is one of the main greenhouse gases, it is important to understand the relationship between CO2 emissions and economic growth. The paper applies a new panel cointegration test with cross-sectional dependence and structural breaks to examine this relationship in developed and developing countries, respectively. The results indicate that the “Environmental Kuznets Curve” does not hold in either group. For developing countries, there is neither linear nor quadratic long-term equilibrium relationship between CO2 emissions and economic growth. For developed countries, the quadratic relationship does exist between CO2 emissions and economic growth, whereas the linear one does not. A half of these countries have inverted U-shaped curves, while the other half have U-shaped curves. Besides, most of these countries are still on the rising stage of the curve. This paper gives new insights for policymakers to keep a balance between sustainable economic growth and suitable environmental quality.

对发展中国家和发达国家碳排放假设的再审视:一种新的面板协整方法
由于全球变暖随着经济的发展而加剧,而排放的二氧化碳是主要的温室气体之一,因此了解二氧化碳排放与经济增长之间的关系非常重要。本文采用了一个新的面板协整检验与横断面依赖和结构断裂来检查这种关系在发达国家和发展中国家分别。结果表明,“环境库兹涅茨曲线”在两组均不成立。对于发展中国家来说,二氧化碳排放与经济增长之间既不存在线性关系,也不存在二次长期均衡关系。在发达国家,二氧化碳排放与经济增长之间存在二次关系,而不存在线性关系。这些国家中有一半是倒u型曲线,而另一半是u型曲线。此外,这些国家中的大多数仍处于上升阶段。本文为政策制定者在可持续的经济增长和适宜的环境质量之间保持平衡提供了新的见解。
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
Environmental and Ecological Statistics
Environmental and Ecological Statistics 环境科学-环境科学
CiteScore
5.90
自引率
2.60%
发文量
27
审稿时长
>36 weeks
期刊介绍: Environmental and Ecological Statistics publishes papers on practical applications of statistics and related quantitative methods to environmental science addressing contemporary issues. Emphasis is on applied mathematical statistics, statistical methodology, and data interpretation and improvement for future use, with a view to advance statistics for environment, ecology and environmental health, and to advance environmental theory and practice using valid statistics. Besides clarity of exposition, a single most important criterion for publication is the appropriateness of the statistical method to the particular environmental problem. The Journal covers all aspects of the collection, analysis, presentation and interpretation of environmental data for research, policy and regulation. The Journal is cross-disciplinary within the context of contemporary environmental issues and the associated statistical tools, concepts and methods. The Journal broadly covers theory and methods, case studies and applications, environmental change and statistical ecology, environmental health statistics and stochastics, and related areas. Special features include invited discussion papers; research communications; technical notes and consultation corner; mini-reviews; letters to the Editor; news, views and announcements; hardware and software reviews; data management etc.
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