A novel geographic evolution tree based on econometrics for analyzing regional differences in determinants of Chinese CO2 emission intensity
文献类型：期刊论文
| 作者 | Zhou, Yannan1,2,3; Yang, Yu1,2,3; Xia, Siyou1,2,3 |
| 刊名 | JOURNAL OF ENVIRONMENTAL MANAGEMENT
 |
| 出版日期 | 2022-03-01 |
| 卷号 | 305页码:12 |
| 关键词 | CO2 emission intensity Geographic evolution tree Extended STIRPAT model Regional differences China |
| ISSN号 | 0301-4797 |
| DOI | 10.1016/j.jenvman.2021.114402 |
| 通讯作者 | Yang, Yu(yangyu@igsnrr.ac.cn) |
| 英文摘要 | Recent studies have increasingly focused on China's CO2 emission intensity (CEI). However, specific or sufficient guidance is needed with regard to China's complex regional differences and the underlying relations between drivers and CEI. Herein, we develop a novel evolution tree based on the extended Stochastic Impacts by Regression on Population, Affluence, and Technology (STIRPAT) model to spatially visualize and quantify regional development patterns and the impact of determinants on CEI in China. The results showed that China's CEI spatially decreased from the northwest inland to the southeast coast and showed an overall annual decrease. Different regions with various regional development patterns have varying impact mechanisms on local CEI. In the highly developed region, affluence and industrial structure had the greatest effect, with an elasticity coefficient of -0.63, and 0.63, respectively. In the upper-middle developed, lower-middle developed, and developing regions, the energy structure exerted the greatest effect on local CEI with elasticity coefficients of 0.98%, 2.06%, and 0.95%, respectively. In the underdeveloped region, population had the greatest promotion effect with an impact of 1.42; however, affluence exerts a pronounced inhibitory effect with an impact of -0.63. Factors affecting China's CEI have regionally varied effects. Affluence had a significant inhibitory effect on CEI in all five regions, especially in the underdeveloped region; population had a negative effect in the relatively developed regions and a positive effect in the less developed regions. Other factors exerted a positive effect in all five regions, but their significance varied regionally. These results can help policymakers adopt effective regional energy conservation and emission reduction measures. |
| WOS关键词 | CARBON-DIOXIDE EMISSIONS ; ENERGY-CONSUMPTION ; IMPACT FACTORS ; INDUSTRIAL-STRUCTURE ; ECONOMIC-GROWTH ; DRIVING FACTORS ; STIRPAT MODEL ; PANEL-DATA ; POPULATION ; URBANIZATION |
| 资助项目 | National Natural Science Foundation of China[42022007] ; National Natural Science Foundation of China[41871118] ; National Natural Science Foundation of China[42130712] ; Youth Innovation Promotion Association, Chinese Academy of Sciences[2018069] ; China Scholarship Council[202004910549] |
| WOS研究方向 | Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:000744115900006 |
| 出版者 | ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD |
| 资助机构 | National Natural Science Foundation of China ; Youth Innovation Promotion Association, Chinese Academy of Sciences ; China Scholarship Council |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/169818]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Yang, Yu |
| 作者单位 | 1.Inst Strategy Res Guangdong Hong Kong Macao Great, Guangzhou 510006, Peoples R China 2.Univ Chinese Acad Sci, Coll Resource & Environm, Beijing 100049, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Reg Sustainable Dev Modeling, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhou, Yannan,Yang, Yu,Xia, Siyou. A novel geographic evolution tree based on econometrics for analyzing regional differences in determinants of Chinese CO2 emission intensity[J]. JOURNAL OF ENVIRONMENTAL MANAGEMENT,2022,305:12. |
| APA | Zhou, Yannan,Yang, Yu,&Xia, Siyou.(2022).A novel geographic evolution tree based on econometrics for analyzing regional differences in determinants of Chinese CO2 emission intensity.JOURNAL OF ENVIRONMENTAL MANAGEMENT,305,12. |
| MLA | Zhou, Yannan,et al."A novel geographic evolution tree based on econometrics for analyzing regional differences in determinants of Chinese CO2 emission intensity".JOURNAL OF ENVIRONMENTAL MANAGEMENT 305(2022):12. |
入库方式： OAI收割
来源：地理科学与资源研究所
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