Examining the asymmetric link between clean energy intensity and carbon dioxide emissions: The significance of quantile-on-quantile method

IF 4 4区环境科学与生态学 Q2 ENVIRONMENTAL STUDIES

Energy & Environment Pub Date : 2022-05-29 DOI:10.1177/0958305X221102049

F. Shahzad, Zeeshan Fareed, Yong Wan, Yihan Wang, Z. Zahid, M. Irfan

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引用次数: 10

Abstract

This study corroborates the asymmetric and heterogeneous associations between clean energy intensity (CEI) and carbon dioxide (CO2) emissions among the world's top ten renewable energy consumer countries using quarterly data from 1970Q1 to 2018Q4. We quantify the complete dependence structure between CEI and CO2 at quantile distributions using a novel quantile-on-quantile (QQ) method proposed by Sim and Zhou (2015). Compared to classic approaches such as quantile regression and ordinary least squares, the QQ technique can provide more information on the overall relationship between CEI and CO2. Furthermore, we also seek to determine causal relationships between CEI and CO2 using a quantile Granger causality approach suggested by Troster. According to our empirical evidence, the link between the two variables is predominantly negative. Moreover, there are significant disparities across countries in the quantile ranges of CEI and CO2. In particular, there is a weak positive link between CEI and CO2 in the case of Sweden, Italy, Japan, and Australia, which may be because CEI has a minimal direct influence on CO2 in these countries. The empirical findings clarify that policymakers should fund renewable energy industries to minimize carbon dioxide (CO2) emissions and achieve Sustainable Development Goals (SDGs).

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检验清洁能源强度与二氧化碳排放之间的不对称联系:分位数对分位数方法的意义

本研究利用1970年第一季度至2018年第四季度的季度数据，证实了世界十大可再生能源消费国清洁能源强度(CEI)与二氧化碳(CO2)排放之间的不对称和异质性关联。我们使用Sim和Zhou(2015)提出的一种新颖的分位数对分位数(QQ)方法，在分位数分布上量化了CEI和CO2之间的完整依赖结构。与分位数回归和普通最小二乘等经典方法相比，QQ技术可以提供更多关于CEI和CO2之间整体关系的信息。此外，我们还试图利用Troster提出的分位数格兰杰因果关系方法来确定CEI和CO2之间的因果关系。根据我们的经验证据，这两个变量之间的联系主要是负的。此外，在CEI和CO2的分位数范围内，各国之间存在显著差异。特别是，在瑞典、意大利、日本和澳大利亚，CEI与二氧化碳之间存在微弱的正相关关系，这可能是因为CEI对这些国家的二氧化碳的直接影响很小。实证结果表明，政策制定者应该为可再生能源产业提供资金，以最大限度地减少二氧化碳(CO2)排放，实现可持续发展目标(SDGs)。

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

Energy & Environment ENVIRONMENTAL STUDIES-

CiteScore

7.60

自引率

7.10%

发文量

157

期刊介绍： Energy & Environment is an interdisciplinary journal inviting energy policy analysts, natural scientists and engineers, as well as lawyers and economists to contribute to mutual understanding and learning, believing that better communication between experts will enhance the quality of policy, advance social well-being and help to reduce conflict. The journal encourages dialogue between the social sciences as energy demand and supply are observed and analysed with reference to politics of policy-making and implementation. The rapidly evolving social and environmental impacts of energy supply, transport, production and use at all levels require contribution from many disciplines if policy is to be effective. In particular E & E invite contributions from the study of policy delivery, ultimately more important than policy formation. The geopolitics of energy are also important, as are the impacts of environmental regulations and advancing technologies on national and local politics, and even global energy politics. Energy & Environment is a forum for constructive, professional information sharing, as well as debate across disciplines and professions, including the financial sector. Mathematical articles are outside the scope of Energy & Environment. The broader policy implications of submitted research should be addressed and environmental implications, not just emission quantities, be discussed with reference to scientific assumptions. This applies especially to technical papers based on arguments suggested by other disciplines, funding bodies or directly by policy-makers.