工业化和可再生能源对东盟9国二氧化碳排放的影响

Barbara Claire, Diah Widyawati
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引用次数: 0

摘要

目的:本研究探讨东盟工业化、可再生能源与二氧化碳排放之间的关系。主要目标是评估东盟是否存在环境库兹涅茨曲线(EKC),并探讨可再生能源在工业化与二氧化碳排放之间关系中的潜在中介作用。方法:本研究在1990年至2019年期间对九个东盟国家进行了PMG-ARDL估计,对所涉及的变量进行了短期和长期分析。调查结果-调查结果显示,短期内大多数东盟成员国都存在EKC。研究还发现,可再生能源在工业增加值与二氧化碳排放之间起到中介作用,在一些东盟国家,可再生能源的采用改变了工业化过程中人均二氧化碳排放的拐点。启示-研究结果表明,向可再生能源过渡有助于减轻东盟工业发展对环境的影响。因此,致力于实现能源目标的成员国应优先在其工业部门部署可再生能源,以实现环境效益。原创性-本研究通过具体考察东盟工业化、可再生能源和二氧化碳排放之间的相互作用,对现有文献做出了贡献。PMG-ARDL估计方法的使用以及对可再生能源中介作用的关注为本研究增添了新意。
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Impact of industrialization and renewable energy on carbon dioxide emission in 9 ASEAN countries
Purpose ― This research investigates the relationship between ASEAN's industrialization, renewable energy, and CO2 emissions. The primary objectives are to assess the existence of the Environmental Kuznets Curve (EKC) in ASEAN and to explore the potential mediating effect of renewable energy in the relationship between industrialization and CO2 emissions.Methods ― The study utilizes the PMG-ARDL estimation method in nine ASEAN countries from 1990 to 2019, providing short- and long-term analyses of the variables involved.Findings ― The finding reveals the presence of the EKC in ASEAN in the short term for most member states. It also finds that renewable energy mediates the relationship between industrial value-added and CO2 emissions, with renewable energy adoption altering the turning point of per capita CO2 emissions during industrialization in several ASEAN nations.Implication ― The findings suggest that transitioning to renewable energy can help mitigate the environmental impact of ASEAN’s industrial development. Thus, member states committed to energy targets should prioritize deploying renewable energy in their industrial sectors to achieve environmental benefits.Originality ― This research contributes to the existing literature by specifically examining the interplay between industrialization, renewable energy, and CO2 emissions in ASEAN. The use of the PMG-ARDL estimation method and the focus on the mediating role of renewable energy add originality to the study.
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来源期刊
自引率
20.00%
发文量
21
审稿时长
12 weeks
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