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| DOI | 10.1016/j.eiar.2024.107463 |
| Spatial-temporal distribution and multiple driving mechanisms of energy-related CH4 emissions in China | |
| 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/297832 |
| 作者单位 | Sichuan University |
| 推荐引用方式 GB/T 7714 | . Spatial-temporal distribution and multiple driving mechanisms of energy-related CH4 emissions in China[J],2024,106. |
| APA | (2024).Spatial-temporal distribution and multiple driving mechanisms of energy-related CH4 emissions in China.ENVIRONMENTAL IMPACT ASSESSMENT REVIEW,106. |
| MLA | "Spatial-temporal distribution and multiple driving mechanisms of energy-related CH4 emissions in China".ENVIRONMENTAL IMPACT ASSESSMENT REVIEW 106(2024). |
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