Suppr超能文献

探索亚洲主要排放国环境库兹涅茨曲线假说的本质:人力资本、可再生和不可再生能源消费的作用。

Exploring the nature of EKC hypothesis in Asia's top emitters: role of human capital, renewable and non-renewable energy consumption.

机构信息

School of Economics, Shri Mata Vaishno Devi University, Katra, Jammu and Kashmir, India.

School of Economics, Gangadhar Meher University, Sambalpur, 768004, Odisha, India.

出版信息

Environ Sci Pollut Res Int. 2022 Dec;29(59):88557-88576. doi: 10.1007/s11356-022-21551-w. Epub 2022 Jul 14.

Abstract

The present study uses both carbon dioxide emission and ecological footprints as proxies for environmental degradation to examine the environmental Kuznets curve hypothesis for the top three emitters from Asia, i.e., China, India, and Japan. To this end, the autoregressive distributed lag model for time series and panel estimation is used for a period spanning over 1980-2016. For carbon dioxide emission, China presents an inverted-U shape of the environmental Kuznets curve, while a U-shape relationship is found for India and Japan. Similarly, when the hypothesis is tested with the ecological footprint, Japan offers an inverted U-shape and U-shaped association is detected for China and India. The panel analysis indicates the existence of the environmental Kuznets curve with both proxies of environmental degradation. Besides, human capital and renewable energy promote environmental sustainability, while non-renewable energy use hinders environmental quality. The findings of this study suggest that in order to meet the combined goals of economic growth and environmental protection, the three economies, i.e., China, India, and Japan, should employ renewable energy-enabled technology.

摘要

本研究使用二氧化碳排放量和生态足迹作为环境退化的代理指标,检验亚洲三大排放国(中国、印度和日本)的环境库兹涅茨曲线假说。为此,我们使用时间序列和面板估计的自回归分布滞后模型,对 1980-2016 年期间进行了研究。对于二氧化碳排放,中国呈现出环境库兹涅茨曲线的倒 U 型,而印度和日本则呈现出 U 型关系。同样,当用生态足迹检验这一假说时,日本呈现出倒 U 型,而中国和印度则呈现出 U 型关系。面板分析表明,这两个环境退化指标都存在环境库兹涅茨曲线。此外,人力资本和可再生能源促进了环境的可持续性,而不可再生能源的使用则阻碍了环境质量的提高。本研究的结果表明,为了实现经济增长和环境保护的双重目标,中国、印度和日本这三个经济体应该采用可再生能源技术。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验