气候变化领域集成服务门户(CCPortal): Spatial-temporal distribution and multiple driving mechanisms of energy-related CH4 emissions in China

CCPortal

DOI	10.1016/j.eiar.2024.107463
	Spatial-temporal distribution and multiple driving mechanisms of energy-related CH4 emissions in China
	Yao, Liming; Qian, Weijin; Jiang, Hongqiang
发表日期	2024
ISSN	0195-9255
EISSN	1873-6432
起始页码	106
卷号	106
英文摘要	China's energy-related methane (CH4) emissions account for >19.03% of global energy sector emissions, posing a significant threat to China's endeavors in mitigating climate change. However, research on the spatial-temporal patterns, drivers, and mitigation policies remains limited. This study aims to address this gap by building an innovative research framework to reveal the spatial and temporal distribution characteristics and drivers of energy-related CH4 emissions across 30 Chinese provinces from 2010 to 2019, combining Standard Deviation Ellipsometry (SDE), Exploratory Spatial Data Analysis (ESDA), Markov Chain (MC) and Spatial Durbin Model (SDM). Key findings are: (1) The emissions exhibit a distinct clustering characteristic, with emissions clustered towards the Northeast-Central-Northwest direction over time. (2) There is significant positive spatial autocorrelation among emissions. As L-L agglomeration type provinces have shifted to L-H agglomeration type, the uneven distribution pattern of emissions will be intensified. (3) The emissions display path dependency, maintaining 84% steady-state probability. High-emitting provinces surrounded by medium-high or high emitters have higher downward shift probabilities. (4) The emissions have negative spillover effects on neighboring regions, suggesting the presence of competitive/substitution relationships among provinces regarding CH4 emission sources or mitigation measures. This research enhances understanding of China's energy-related CH4 emissions patterns and drivers, enriching the emission reduction research system. It provides new perspective for policymakers to develop adaptive policies.
英文关键词	CH4 emission; Spatial and temporal distribution; Spatial effects; SDM
语种	英语
WOS研究方向	Environmental Sciences & Ecology
WOS类目	Environmental Studies
WOS记录号	WOS:001204021500001
来源期刊	ENVIRONMENTAL IMPACT ASSESSMENT REVIEW
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/297833
作者单位	Sichuan University
推荐引用方式 GB/T 7714	Yao, Liming,Qian, Weijin,Jiang, Hongqiang. Spatial-temporal distribution and multiple driving mechanisms of energy-related CH4 emissions in China[J],2024,106.
APA	Yao, Liming,Qian, Weijin,&Jiang, Hongqiang.(2024).Spatial-temporal distribution and multiple driving mechanisms of energy-related CH4 emissions in China.ENVIRONMENTAL IMPACT ASSESSMENT REVIEW,106.
MLA	Yao, Liming,et al."Spatial-temporal distribution and multiple driving mechanisms of energy-related CH4 emissions in China".ENVIRONMENTAL IMPACT ASSESSMENT REVIEW 106(2024).