气候变化领域集成服务门户(CCPortal): Paris climate agreement and global environmental efficiency: New evidence from fuzzy regression discontinuity design

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DOI	10.1016/j.enpol.2022.113128
	Paris climate agreement and global environmental efficiency: New evidence from fuzzy regression discontinuity design
	Salman, Muhammad; Long, Xingle; Wang, Guimei; Zha, Donglan
发表日期	2022
ISSN	0301-4215
EISSN	1873-6777
卷号	168 页码:22
英文摘要	The most remarkable global climate agreement to date, the Paris Agreement of 2015 requires all countries to set emissions-reduction commitments. However, experts say that the pledges are not enough to prevent the global average temperature from rising 1.5 degrees C. This study adopts the Paris Agreement as a quasi-natural experiment and evaluates its policy intervention on environmental efficiency as well as GHG emissions in 162 countries from 1990 to 2020. We applied a global Malmquist-luenberger productivity (GML) index to measure global environmental efficiency. Moreover, we used seven major sources of GHG emissions to develop a comprehensive indicator of environmental degradation using the Principle Component Analysis (PCA). Results showed that developed countries experienced an increase in environmental efficiency, whereas developing and least developing countries (LDCs) showed decline. Technological progress was the key component of environmental efficiency in developed countries, while technical efficiency was the main indicator in developing countries and LDCs. Results of fuzzy regression discontinuity analysis documented that the policy intervention of the Paris Agreement was conducive to the global environmental efficiency by reducing the level of GHG emissions. However, the implementation of the Paris Agreement exerted heterogeneous effects on environmental efficiency with developed countries relatively experienced more profound effect.
英文关键词	Paris agreement; Environmental efficiency; Fuzzy regression discontinuity design
学科领域	Economics; Energy & Fuels; Environmental Sciences; Environmental Studies
语种	英语
WOS研究方向	Business & Economics ; Energy & Fuels ; Environmental Sciences & Ecology
WOS记录号	WOS:000838125800006
来源期刊	ENERGY POLICY
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/272384
作者单位	Nanjing University of Aeronautics & Astronautics; Jiangsu University; Zhejiang Gongshang University
推荐引用方式 GB/T 7714	Salman, Muhammad,Long, Xingle,Wang, Guimei,et al. Paris climate agreement and global environmental efficiency: New evidence from fuzzy regression discontinuity design[J],2022,168:22.
APA	Salman, Muhammad,Long, Xingle,Wang, Guimei,&Zha, Donglan.(2022).Paris climate agreement and global environmental efficiency: New evidence from fuzzy regression discontinuity design.ENERGY POLICY,168,22.
MLA	Salman, Muhammad,et al."Paris climate agreement and global environmental efficiency: New evidence from fuzzy regression discontinuity design".ENERGY POLICY 168(2022):22.