气候变化领域集成服务门户(CCPortal): Driving mechanism and decoupling effect of PM2.5 emissions: Empirical evidence from China's industrial sector

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DOI	10.1016/j.enpol.2020.112017
	Driving mechanism and decoupling effect of PM2.5 emissions: Empirical evidence from China's industrial sector
	Fang D.; Yu B.
发表日期	2021
ISSN	03014215
卷号	149
英文摘要	Haze pollution has been a serious environmental issue in China, however, little research has focused on the industrial sector which accounts for a large part of total PM2.5 emissions. This paper aims to disclose the driving mechanism and decoupling effect of industrial PM2.5 emissions. First, this study reveals the spatial-temporal drivers of industrial PM2.5 emissions in China spanning 2000–2014 through geographical detector and logarithmic mean Divisia index decomposition, respectively. Then, the decoupling causal chain of industrial economic growth and PM2.5 emissions is investigated by a refined Laspeyres index method. The empirical results illustrate that: (1) Population distribution is the dominating factor for the spatial heterogeneity of industrial PM2.5 emissions. Different influencing factors show significant synergistic effects. (2) Industrial development effect is the main reason for the increase of industrial PM2.5 emissions, while the reduction in industrial PM2.5 emissions is primarily due to energy intensity effect, followed by coal pollution intensity and energy mix effects. (3) During the study period, the PM2.5-economic growth decoupling undergoes two states, and shows the tendency towards strong decoupling. (4) The PM2.5-coal consumption effect and energy consumption-economic growth effect are important factors influencing the changes of PM2.5-economic growth decoupling indicator, while the impact of the coal consumption-energy consumption effect is quite small. This paper provides important implications for reducing industrial PM2.5 emissions. © 2020
关键词	Decoupling causal chain Geographical detector Index decomposition analysis Industrial sector PM2.5 emissions
英文关键词	Coal; Coal industry; Economic and social effects; Energy utilization; Industrial emissions; Industrial research; Pollution; Decoupling effects; Dominating factors; Driving mechanism; Environmental issues; Industrial development; Pollution intensity; Spatial heterogeneity; Synergistic effect; Industrial economics; atmospheric pollution; decomposition analysis; economic growth; energy use; haze; industrial development; industrial emission; particulate matter; China; Indicator indicator
语种	英语
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/205088
作者单位	School of Economics and Management, Wuhan University, Wuhan, 430072, China; State Key Laboratory of Water Resources and Hydropower Engineering, Wuhan University, Wuhan, 430072, China
推荐引用方式 GB/T 7714	Fang D.,Yu B.. Driving mechanism and decoupling effect of PM2.5 emissions: Empirical evidence from China's industrial sector[J],2021,149.
APA	Fang D.,&Yu B..(2021).Driving mechanism and decoupling effect of PM2.5 emissions: Empirical evidence from China's industrial sector.Energy Policy,149.
MLA	Fang D.,et al."Driving mechanism and decoupling effect of PM2.5 emissions: Empirical evidence from China's industrial sector".Energy Policy 149(2021).