Residential energy consumption and its linkages with life expectancy in mainland China: A geographically weighted regression approach and energy-ladder-based perspective
文献类型：期刊论文
| 作者 | Wang, Shaobin1; Liu, Yonglin2; Zhao, Chao3; Pu, Haixia4 |
| 刊名 | ENERGY
 |
| 出版日期 | 2019-06-15 |
| 卷号 | 177页码:347-357 |
| 关键词 | Residential energy consumption Life expectancy at birth Household coal/electricity Geographically weighted regression Spatial non-stationary |
| ISSN号 | 0360-5442 |
| DOI | 10.1016/j.energy.2019.04.099 |
| 通讯作者 | Wang, Shaobin(wangshaobin@igsnrr.ac.cn) |
| 英文摘要 | Spatially variation of the relation between residential energy consumption and life expectancy at birth in mainland China was illustrated. Close associations were found between household coal/household electricity and life expectancy at birth at the provincial level in mainland China in 1990, 2000 and 2010. Household coal and electricity consumption showed significant negative/positive relations to life expectancy at birth in Chinese rural areas than urban areas. Furthermore, geographically weighted regression showed spatial non-stationary of the relations between residential energy consumption and life expectancy at birth in mainland China, especially for the household coal and household electricity. The negative correlations of household coal and life expectancy at birth denoted that household coal in the western part was more serious than the eastern part of China. In comparison, positive correlations between household electricity and life expectancy at birth showed an increasing trend from the east to the west, which indicated the positive effects of electricity, especially in western China. The results provided new insights into Chinese residential energy policy implications with spatial feature, which highlighted the higher priority in the energy ladder model to improve the household coal quality and increase the household electricity utilization especially in western rural areas in China. (C) 2019 Elsevier Ltd. All rights reserved. |
| WOS关键词 | HOUSEHOLD AIR-POLLUTION ; HEALTH IMPACTS ; PUBLIC-HEALTH ; COAL ; FLUORINE ; EXPOSURE ; COMBUSTION ; SCENARIOS ; FLUOROSIS ; EMISSIONS |
| 资助项目 | Open foundation of Key Laboratory of Coal Resources Exploration and Comprehensive Utilization, Ministry of Land and Resources of the People's Republic of China[KF2018-7] ; Key Research and Development Project of Shaanxi Province of China[2017ZDXM-GY-075] ; National Natural Science Foundation of China[41502329] |
| WOS研究方向 | Thermodynamics ; Energy & Fuels |
| 语种 | 英语 |
| WOS记录号 | WOS:000471360100030 |
| 出版者 | PERGAMON-ELSEVIER SCIENCE LTD |
| 资助机构 | Open foundation of Key Laboratory of Coal Resources Exploration and Comprehensive Utilization, Ministry of Land and Resources of the People's Republic of China ; Key Research and Development Project of Shaanxi Province of China ; National Natural Science Foundation of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/58853]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Wang, Shaobin |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, A11 Dawn Rd, Beijing 100101, Peoples R China 2.Chongqing Normal Univ, Coll Geog & Tourism, Chongqing 400047, Peoples R China 3.Chinese Acad Sci, Beijing Senior Expert Technol Ctr, Beijing 100049, Peoples R China 4.Chongqing Technol & Business Univ, Coll Tourism & Land Resources, Chongqing 400067, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Shaobin,Liu, Yonglin,Zhao, Chao,et al. Residential energy consumption and its linkages with life expectancy in mainland China: A geographically weighted regression approach and energy-ladder-based perspective[J]. ENERGY,2019,177:347-357. |
| APA | Wang, Shaobin,Liu, Yonglin,Zhao, Chao,&Pu, Haixia.(2019).Residential energy consumption and its linkages with life expectancy in mainland China: A geographically weighted regression approach and energy-ladder-based perspective.ENERGY,177,347-357. |
| MLA | Wang, Shaobin,et al."Residential energy consumption and its linkages with life expectancy in mainland China: A geographically weighted regression approach and energy-ladder-based perspective".ENERGY 177(2019):347-357. |
入库方式： OAI收割
来源：地理科学与资源研究所
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