Inequalities in carbon intensity in China: A multi-scalar and multi-mechanism analysis
文献类型：期刊论文
| 作者 | Wang, Shaojian2; Wang, Jieyu2; Fang, Chuanglin3; Feng, Kuishuang1,4 |
| 刊名 | APPLIED ENERGY
 |
| 出版日期 | 2019-11-15 |
| 卷号 | 254页码:10 |
| 关键词 | Carbon intensity Regional inequality Multi-scale and multi-mechanism analysis Spatial Markov chains China |
| ISSN号 | 0306-2619 |
| DOI | 10.1016/j.apenergy.2019.113720 |
| 通讯作者 | Fang, Chuanglin(fangcl@igsnrr.ac.cn) ; Feng, Kuishuang(fengkuishuang@gmail.com) |
| 英文摘要 | This study estimates disparities in carbon intensity in China using a multi-scalar and multi-mechanism analysis. In order to avoid the inconsistency between regional, provincial, and city-level data, city-level CO2 emissions from energy consumption in China were estimated through Defense Meteorological Satellite Program/Operational Linescan System nighttime light imagery. Our results reveal a trend of decreasing inequality in carbon intensity in China, and the study also found that the contribution made by eastern China to that inequality decreased continuously, while the share of inequality in western China increased consistently during the study period. Spatial Markov chains were also applied to identify the spatiotemporal dynamics of inequalities in Chinese cities. The results show that there is a strong effect of the emission status of neighboring cities' on a city's emission dynamics and the effect of self-reinforcing agglomeration was significant. Based on a multi-level model, the study further revealed that the disparity in China's carbon intensity levels was sensitive to the regional hierarchy across a variety of mechanisms acting as potential influencing factors. We found that technological progress and population density have a potential to mitigate the intensities driven by economic development, trade openness, road density, secondary industry proportion, and investment intensity. Through the present study, we argue that the policies targeting emissions mitigation in China have been restrained due to a lack of effective restraint in relation to the influencing factors that have promoted emissions levels, while mitigation factors have not been adequately exploited. |
| WOS关键词 | PEARL RIVER DELTA ; CO2 EMISSIONS ; DIOXIDE EMISSIONS ; CITY-LEVEL ; ENERGY-CONSUMPTION ; ECONOMIC-GROWTH ; DRIVING FORCES ; IMPACT FACTORS ; PANEL ; URBANIZATION |
| 资助项目 | National Natural Science Foundation of China[41590842] ; National Natural Science Foundation of China[41601151] ; Guangdong Special Support Group ; Pearl River S&T Nova Program of Guangzhou[201806010187] ; China Scholarship Council[201806385014] |
| WOS研究方向 | Energy & Fuels ; Engineering |
| 语种 | 英语 |
| WOS记录号 | WOS:000497974600109 |
| 出版者 | ELSEVIER SCI LTD |
| 资助机构 | National Natural Science Foundation of China ; Guangdong Special Support Group ; Pearl River S&T Nova Program of Guangzhou ; China Scholarship Council |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/130379]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Fang, Chuanglin; Feng, Kuishuang |
| 作者单位 | 1.Shandong Univ, Inst Blue & Green Dev, Weihai 264209, Peoples R China 2.Sun Yat Sen Univ, Sch Geog & Planning, Guangdong Prov Key Lab Urbanizat & Geosimulat, Guangzhou 510275, Guangdong, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 4.Univ Maryland, Dept Geog Sci, College Pk, MD 20742 USA |
| 推荐引用方式 GB/T 7714 | Wang, Shaojian,Wang, Jieyu,Fang, Chuanglin,et al. Inequalities in carbon intensity in China: A multi-scalar and multi-mechanism analysis[J]. APPLIED ENERGY,2019,254:10. |
| APA | Wang, Shaojian,Wang, Jieyu,Fang, Chuanglin,&Feng, Kuishuang.(2019).Inequalities in carbon intensity in China: A multi-scalar and multi-mechanism analysis.APPLIED ENERGY,254,10. |
| MLA | Wang, Shaojian,et al."Inequalities in carbon intensity in China: A multi-scalar and multi-mechanism analysis".APPLIED ENERGY 254(2019):10. |
入库方式： OAI收割
来源：地理科学与资源研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。