气候变化领域集成服务门户(CCPortal): Unveiling the driving factors of carbon emissions from industrial resource allocation in China: A spatial econometric perspective

CCPortal

DOI	10.1016/j.enpol.2021.112557
	Unveiling the driving factors of carbon emissions from industrial resource allocation in China: A spatial econometric perspective
	Wang B.; Yu M.; Zhu Y.; Bao P.
发表日期	2021
ISSN	0301-4215
卷号	158
英文摘要	Analyzing the relationship between industrial resource allocation and carbon emissions from the regional level will promote cross-regional environmental coordinated governance. Based on the panel data of 30 provinces from 2007 to 2016, this paper explores the spatial distribution of industrial resource allocation, spatial autocorrelation of carbon emissions, and the relationship from a spatial econometric perspective. The results show that compared with other provinces, Jilin, Zhejiang, and Guangdong have relatively higher industrial resource allocation efficiency. The provinces with higher carbon emissions are spatially adjacent, and the provinces with lower carbon emissions are also spatially adjacent. On a national level, the improvement of industrial resource allocation can reduce carbon emissions. On a regional level, the impact of industrial resource allocation efficiency on carbon emissions is somewhat different. Industrial resource allocation can significantly reduce carbon emissions in the eastern region. However, it is not clear whether the improvement in the industrial resource allocation efficiency can reduce carbon emissions in the central, western, and northeast regions. © 2021 Elsevier Ltd
英文关键词	Carbon emissions; Resource allocation; Spatial autocorrelation; Spatial durbin model
语种	英语
scopus关键词	Autocorrelation; Carbon; Efficiency; Industrial emissions; Allocation efficiencies; Carbon emissions; Driving factors; Industrial resources; Panel data; Regional levels; Resources allocation; Spatial autocorrelations; Spatial Durbin models; Spatial econometrics; Resource allocation; autocorrelation; carbon emission; econometrics; efficiency measurement; emission control; emission inventory; environmental economics; governance approach; industrial emission; resource allocation; spatial analysis; China
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/256550
作者单位	School of Mathematics-Physics and Finance, Anhui Polytechnic University, Wuhu, 241000, China
推荐引用方式 GB/T 7714	Wang B.,Yu M.,Zhu Y.,et al. Unveiling the driving factors of carbon emissions from industrial resource allocation in China: A spatial econometric perspective[J],2021,158.
APA	Wang B.,Yu M.,Zhu Y.,&Bao P..(2021).Unveiling the driving factors of carbon emissions from industrial resource allocation in China: A spatial econometric perspective.Energy Policy,158.
MLA	Wang B.,et al."Unveiling the driving factors of carbon emissions from industrial resource allocation in China: A spatial econometric perspective".Energy Policy 158(2021).