Analyzing the impact factors of energy-related CO2 emissions in China: What can spatial panel regressions tell us?
文献类型：期刊论文
| 作者 | Zhang, Qian1,2; Yang, Jin3; Sun, Zhongxiao4; Wu, Feng1 |
| 刊名 | JOURNAL OF CLEANER PRODUCTION
 |
| 出版日期 | 2017-09-10 |
| 卷号 | 161页码:1085-1093 |
| 关键词 | STIRPAT model Spatial panel regression CO2 emission Impact factor Policy implication |
| ISSN号 | 0959-6526 |
| DOI | 10.1016/j.jclepro.2017.05.071 |
| 通讯作者 | Wu, Feng(wufeng@igsnrr.ac.cn) |
| 英文摘要 | China produces a huge amount of CO2 emissions that need to be reduced to comply with international commitments. Identifying the driving factors is critical for achieving mitigation targets and transiting toward a low-carbon economy in China. This study is one of the first few attempts to apply panel data and spatial econometrics models to analyze the spatial dependence of province-level CO2 emission intensity and the economic drivers of such emissions. First, we conducted a systematical review of the development of spatial econometrics. Second, we generated a panel data set about energy and socioeconomic development of 30 provinces and municipalities in China from 2005 to 2012. Next, we chose the most appropriate model to explain the predominant factors of energy-related CO2 emissions based on a series of tests of the spatial econometrics models. The results suggested that technology improvement, adjustment of industrial and energy structures, and environmentally friendly behaviors and patterns of consumption of habitants play an important role in CO2 emissions mitigation. The results also revealed that CO2 emissions had strong spatial spillover effects, which indicate that policies adopted in one province will affect policy-making in neighboring provinces, implying that provinces need take combined action to balance climate change mitigation and economic policy goals. (c) 2017 Elsevier Ltd. All rights reserved. |
| WOS关键词 | CARBON EMISSIONS ; MODELS ; URBAN ; ECONOMETRICS ; CONSUMPTION ; STIRPAT ; LEVEL |
| 资助项目 | National Key Research and Development Plan project[2016YFA0602500] ; National Natural Science Foundation of China[71533004] ; National Natural Science Foundation of China[71561137002] |
| WOS研究方向 | Engineering ; Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:000407655400094 |
| 出版者 | ELSEVIER SCI LTD |
| 资助机构 | National Key Research and Development Plan project ; National Natural Science Foundation of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/61326]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Wu, Feng |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Ctr Chinese Agr Policy, Beijing 100101, Peoples R China 2.Royal Inst Technol KTH, Dept Urban Planning & Environm, Geoinformat Div, S-10044 Stockholm, Sweden 3.China Univ Geosci, Sch Humanities & Econ Management, Beijing 100083, Peoples R China 4.Beijing Normal Univ, Sch Environm, Beijing 100875, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhang, Qian,Yang, Jin,Sun, Zhongxiao,et al. Analyzing the impact factors of energy-related CO2 emissions in China: What can spatial panel regressions tell us?[J]. JOURNAL OF CLEANER PRODUCTION,2017,161:1085-1093. |
| APA | Zhang, Qian,Yang, Jin,Sun, Zhongxiao,&Wu, Feng.(2017).Analyzing the impact factors of energy-related CO2 emissions in China: What can spatial panel regressions tell us?.JOURNAL OF CLEANER PRODUCTION,161,1085-1093. |
| MLA | Zhang, Qian,et al."Analyzing the impact factors of energy-related CO2 emissions in China: What can spatial panel regressions tell us?".JOURNAL OF CLEANER PRODUCTION 161(2017):1085-1093. |
入库方式： OAI收割
来源：地理科学与资源研究所
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