Quantifying the spatiotemporal characteristics of China's energy efficiency and its driving factors: A Super-RSBM and Geodetector analysis
文献类型：期刊论文
| 作者 | Xu, Mutian1,2; Bao, Chao1,2 |
| 刊名 | JOURNAL OF CLEANER PRODUCTION
 |
| 出版日期 | 2022-07-01 |
| 卷号 | 356页码:13 |
| 关键词 | Energy efficiency Driving factors Super-RSBM Spatial analysis Geodetector |
| ISSN号 | 0959-6526 |
| DOI | 10.1016/j.jclepro.2022.131867 |
| 通讯作者 | Bao, Chao(baoc@igsnrr.ac.cn) |
| 英文摘要 | Improving energy efficiency is a key component of ensuring energy security and realizing "dual carbon" goals for China. This study introduced a ray slack-based model (RSBM) and Super-RSBM, which may distinguish weak and strong disposability to provide a more comprehensive and reliable insight compared with traditional models, to measure China's energy efficiency during 2000-2017. Its spatiotemporal characteristics were outlined elaborately by spatial autocorrelation models and Theil index, and its driving factors were probed by Geodetector model instead of econometric models to minimize fitting bias. The results showed that China's energy efficiency remained a medium level over time, and experienced a slightly declining first and then fluctuating. Meanwhile, it maintained a distribution pattern of higher energy efficiency in the eastern region as well as Mongolian and Tibetan Plateau, while lower in the western region and most of North China Plain. It had great inequality across provinces and regions. Specifically, the number of LL-type provinces decreased while provinces of HH-type were always rare. The national inequality of energy efficiency was mainly derived from the intraregional difference. Furthermore, China's energy efficiency was tightly associated with the economic development and urbanization level. It showed a loose connection with environmental regulation and clean production proportion. All pairs of studied factors had mutually reinforcing effects on energy efficiency. These results could serve as strong scientific supports to formulate policies targeted towards energy conservation and emission reduction. |
| WOS关键词 | URBANIZATION ; IMPROVEMENT ; REDUCTION |
| 资助项目 | Second Tibetan Plateau Scientific Expedition and Research Program (STEP)[2019QZKK1005] ; National Natural Science Foundation of China[41971208] ; Strategic Priority Research Program of Chinese Academy of Sciences[XDA20040401] |
| WOS研究方向 | Science & Technology - Other Topics ; Engineering ; Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:000804682300001 |
| 出版者 | ELSEVIER SCI LTD |
| 资助机构 | Second Tibetan Plateau Scientific Expedition and Research Program (STEP) ; National Natural Science Foundation of China ; Strategic Priority Research Program of Chinese Academy of Sciences |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/178840]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Bao, Chao |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resource Res, Key Lab Reg Sustainable Dev Modeling, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China |
| 推荐引用方式 GB/T 7714 | Xu, Mutian,Bao, Chao. Quantifying the spatiotemporal characteristics of China's energy efficiency and its driving factors: A Super-RSBM and Geodetector analysis[J]. JOURNAL OF CLEANER PRODUCTION,2022,356:13. |
| APA | Xu, Mutian,&Bao, Chao.(2022).Quantifying the spatiotemporal characteristics of China's energy efficiency and its driving factors: A Super-RSBM and Geodetector analysis.JOURNAL OF CLEANER PRODUCTION,356,13. |
| MLA | Xu, Mutian,et al."Quantifying the spatiotemporal characteristics of China's energy efficiency and its driving factors: A Super-RSBM and Geodetector analysis".JOURNAL OF CLEANER PRODUCTION 356(2022):13. |
入库方式： OAI收割
来源：地理科学与资源研究所
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