What Cause Large Spatiotemporal Differences in Carbon Intensity of Energy-Intensive Industries in China? Evidence from Provincial Data during 2000-2019 | |
Xu, Xin; Shen, Yuming; Liu, Hanchu1 | |
发表期刊 | INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH |
关键词 | energy-intensive industries carbon intensity spatiotemporal differences driver spatial spillover spatial econometric model |
摘要 | China has been reported as the world's largest carbon emitter, facing a tough challenge to meet its carbon peaking goal by 2030. Reducing the carbon intensity of energy-intensive industries (EIICI) is a significant starting point for China to achieve its emission reduction targets. To decompose the overall target into regions, understanding the spatiotemporal differences and drivers of carbon intensity is a solid basis for the scientific formulation of differentiated regional emission reduction policies. In this study, the spatiotemporal differences of EIICI are described using the panel data of 30 provinces in China from 2000 to 2019, and a spatial econometric model is further adopted to analyze its drivers. As indicated by the results: (1) from 2000 to 2019, China's EIICI tended to be reduced continuously, and the spatial differences at the provincial and regional levels expanded continuously, thus revealing the coexistence of high in the west and low in the east and high in the north and low in the south spatial patterns. (2) There is a significant spatial autocorrelation in the EIICI, characterized by high and high agglomeration and low and low agglomeration types. Moreover, the spatial spillover effects are denoted by a 1% change in the local EIICI, and the adjacent areas will change by 0.484% in the same direction. (3) Technological innovation, energy structure, and industrial agglomeration have direct and indirect effects, thus affecting the local EIICI and the adjacent areas through spatial spillover effects. Economic levels and firm sizes only negatively affect the local EIICI. Environmental regulation merely has a positive effect on adjacent areas. However, the effect of urbanization level on EIICI has not been verified, and the effect of urbanization level on the EIICI has not been verified. The results presented in this study show a scientific insight into the reduction of EIICI in China. Furthermore, policymakers should formulate differentiated abatement policies based on dominant drivers, spatial effects, and regional differences, instead of implementing similar policies in all provinces. |
2022 | |
卷号 | 19期号:16 |
文章类型 | Article |
DOI | 10.3390/ijerph191610235 |
关键词[WOS] | CO2 EMISSIONS ; DECOMPOSITION ANALYSIS ; STRUCTURAL DECOMPOSITION ; EMPIRICAL-ANALYSIS ; DIOXIDE EMISSIONS ; IMPACT ; REDUCTION ; AGGLOMERATION ; URBANIZATION ; CONSUMPTION |
语种 | 英语 |
WOS研究方向 | Environmental Sciences & Ecology ; Public, Environmental & Occupational Health |
WOS类目 | Environmental Sciences ; Public, Environmental & Occupational Health |
WOS记录号 | WOS:000846736700001 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.casisd.cn/handle/190111/12015 |
专题 | 可持续发展战略研究所 |
作者单位 | 1.Capital Normal Univ, Coll Resources Environm & Tourism, Beijing 100048, Peoples R China 2.Chinese Acad Sci, Inst Sci & Dev, Beijing 100190, Peoples R China |
推荐引用方式 GB/T 7714 | Xu, Xin,Shen, Yuming,Liu, Hanchu. What Cause Large Spatiotemporal Differences in Carbon Intensity of Energy-Intensive Industries in China? Evidence from Provincial Data during 2000-2019[J]. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH,2022,19(16). |
APA | Xu, Xin,Shen, Yuming,&Liu, Hanchu.(2022).What Cause Large Spatiotemporal Differences in Carbon Intensity of Energy-Intensive Industries in China? Evidence from Provincial Data during 2000-2019.INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH,19(16). |
MLA | Xu, Xin,et al."What Cause Large Spatiotemporal Differences in Carbon Intensity of Energy-Intensive Industries in China? Evidence from Provincial Data during 2000-2019".INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 19.16(2022). |
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