Regional inequality, spatial spillover effects, and the factors influencing city-level energy-related carbon emissions in China
文献类型：期刊论文
| 作者 | Su, Wensong1,2,3; Liu, Yanyan4; Wang, Shaojian5; Zhao, Yabo6; Su, Yongxian7; Li, Shijie5 |
| 刊名 | JOURNAL OF GEOGRAPHICAL SCIENCES
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| 出版日期 | 2018-04-01 |
| 卷号 | 28期号:4页码:495-513 |
| ISSN号 | 1009-637X |
| 关键词 | carbon emissions spatial spillover effects dynamic spatial panel data model Chinese carbon emission reduction policies environmental Kuznets curve |
| DOI | 10.1007/s11442-018-1486-9 |
| 通讯作者 | Liu, Yanyan(liuyyan@mail2.sysu.edu.cn) |
| 英文摘要 | Data show that carbon emissions are increasing due to human energy consumption associated with economic development. As a result, a great deal of attention has been focused on efforts to reduce this growth in carbon emissions as well as to formulate policies to address and mitigate climate change. Although the majority of previous studies have explored the driving forces underlying Chinese carbon emissions, few have been carried out at the city-level because of the limited availability of relevant energy consumption statistics. Here, we utilize spatial autocorrelation, Markov-chain transitional matrices, a dynamic panel model, and system generalized distance estimation (Sys-GMM) to empirically evaluate the key determinants of carbon emissions at the city-level based on Chinese remote sensing data collected between 1992 and 2013. We also use these data to discuss observed spatial spillover effects taking into account spatiotemporal lag and a range of different geographical and economic weighting matrices. The results of this study suggest that regional discrepancies in city-level carbon emissions have decreased over time, which are consistent with a marked spatial spillover effect, and a 'club' agglomeration of high-emissions. The evolution of these patterns also shows obvious path dependence, while the results of panel data analysis reveal the presence of a significant U-shaped relationship between carbon emissions and per capita GDP. Data also show that per capita carbon emissions have increased in concert with economic growth in most cities, and that a high-proportion of secondary industry and extensive investment growth have also exerted significant positive effects on city-level carbon emissions across China. In contrast, rapid population agglomeration, improvements in technology, increasing trade openness, and the accessibility and density of roads have all played a role in inhibiting carbon emissions. Thus, in order to reduce emissions, the Chinese government should legislate to inhibit the effects of factors that promote the release of carbon while at the same time acting to encourage those that mitigate this process. On the basis of the analysis presented in this study, we argue that optimizing industrial structures, streamlining extensive investment, increasing the level of technology, and improving road accessibility are all effective approaches to increase energy savings and reduce carbon emissions across China. |
| WOS关键词 | PANEL-DATA ANALYSIS ; CO2 EMISSIONS ; DIOXIDE EMISSIONS ; DRIVING FORCES ; CONSUMPTION |
| 资助项目 | National Natural Science Foundation of China[41601151] ; Guangdong Natural Science Foundation[2016A030310149] |
| WOS研究方向 | Physical Geography |
| 语种 | 英语 |
| 出版者 | SCIENCE PRESS |
| WOS记录号 | WOS:000426586300008 |
| 资助机构 | National Natural Science Foundation of China ; Guangdong Natural Science Foundation |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/57100]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Liu, Yanyan |
| 作者单位 | 1.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 3.Zhongguancun Dev Grp Co Ltd, Beijing 100080, Peoples R China 4.Guangdong Univ Finance & Econ, Sch Geog & Tourism, Guangzhou 510320, Guangdong, Peoples R China 5.Sun Yat Sen Univ, Sch Geog & Planning, Guangdong Prov Key Lab Urbanizat & Geosimulat, Guangzhou 510275, Guangdong, Peoples R China 6.Guangdong Univ Technol, Sch Architecture & Urban Planning, Guangzhou 510090, Guangdong, Peoples R China 7.Guangzhou Inst Geog, Guangzhou 510070, Guangdong, Peoples R China |
| 推荐引用方式 GB/T 7714 | Su, Wensong,Liu, Yanyan,Wang, Shaojian,et al. Regional inequality, spatial spillover effects, and the factors influencing city-level energy-related carbon emissions in China[J]. JOURNAL OF GEOGRAPHICAL SCIENCES,2018,28(4):495-513. |
| APA | Su, Wensong,Liu, Yanyan,Wang, Shaojian,Zhao, Yabo,Su, Yongxian,&Li, Shijie.(2018).Regional inequality, spatial spillover effects, and the factors influencing city-level energy-related carbon emissions in China.JOURNAL OF GEOGRAPHICAL SCIENCES,28(4),495-513. |
| MLA | Su, Wensong,et al."Regional inequality, spatial spillover effects, and the factors influencing city-level energy-related carbon emissions in China".JOURNAL OF GEOGRAPHICAL SCIENCES 28.4(2018):495-513. |
入库方式： OAI收割
来源：地理科学与资源研究所
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