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环境规制、可再生电力、工业化、经济复杂度、技术创新和可持续环境:检验 G-10 经济体的 N 型 EKC 假说。

Environmental regulation, renewable electricity, industrialization, economic complexity, technological innovation, and sustainable environment: testing the N-shaped EKC hypothesis for the G-10 economies.

机构信息

School of Economics and Trade, Hunan University, Changsha, Hunan, China.

Department of Economics, Abdul Wali Khan University, Mardan, Khyber Pakhtunkhwa, Pakistan.

出版信息

Environ Sci Pollut Res Int. 2023 Sep;30(44):99713-99734. doi: 10.1007/s11356-023-29188-z. Epub 2023 Aug 24.

Abstract

This study examines the validity of the environmental Kuznets curve (EKC) hypothesis and the role of environmental regulation, renewable electricity, industrialization, economic complexity, and technological innovation in sustainable environment for the G-10 economies, namely, Belgium, Canada, Germany, Italy, Japan, Netherlands, Sweden, Switzerland, the United Kingdom, and the USA, from 1994 to 2020. We employed CS-ARDL (cross-sectional augmented distributed lag (CS-ARDL), FMOLS (fully modified ordinary least squares), and DOLS (dynamic ordinary least squares) for the analysis of the data. The estimates confirm the N-shaped EKC hypothesis between the GDP and CO2 emission. Moreover, the long-run estimates exhibit that environmental tax, renewable electricity, economic complexity, and technological innovation have negative effect on CO2 emission, while GDP, industrialization and arable land have positive effect on CO2 emission. Based on these findings, we propose that governments must implement large-scale government plans and initiatives to encourage the development of environmentally friendly technologies and ideas based on renewable energy. Moreover, further growing renewable energy, environmental policies like a carbon tax, investments in green technologies, subsidies, and rewards for renewable energy infrastructure investment should be taken into account.

摘要

本研究考察了环境库兹涅茨曲线(EKC)假说的有效性,以及环境监管、可再生电力、工业化、经济复杂性和技术创新在可持续环境中的作用,研究对象为 1994 年至 2020 年间的 G-10 经济体,包括比利时、加拿大、德国、意大利、日本、荷兰、瑞典、瑞士、英国和美国。我们使用 CS-ARDL(横截面自回归分布滞后模型 (CS-ARDL))、FMOLS(完全修正最小二乘法)和 DOLS(动态最小二乘法)对数据进行了分析。估计结果证实了 GDP 和 CO2 排放之间存在 N 型 EKC 假说。此外,长期估计表明,环境税、可再生电力、经济复杂性和技术创新对 CO2 排放有负向影响,而 GDP、工业化和耕地对 CO2 排放有正向影响。基于这些发现,我们建议政府必须实施大规模的政府计划和举措,鼓励基于可再生能源的环保技术和理念的发展。此外,应考虑进一步增加可再生能源、碳税等环境政策、对绿色技术的投资、补贴以及对可再生能源基础设施投资的奖励。

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