Spatio-Temporal Diversification of per Capita Carbon Emissions in China: 2000-2020
文献类型：期刊论文
| 作者 | Zhang, Xuewei5; Zeng, Yi4; Chen, Wanxu4,5; Pan, Sipei3; Du, Fenglian; Zong, Gang2 |
| 刊名 | LAND
 |
| 出版日期 | 2024-09-01 |
| 卷号 | 13期号:9页码:1421 |
| 关键词 | low-carbon transition driving mechanisms spatial autocorrelation spatial regression per capita carbon emissions China |
| DOI | 10.3390/land13091421 |
| 产权排序 | 2 |
| 文献子类 | Article |
| 英文摘要 | Exploring the low-carbon transition in China can offer profound guidance for governments to develop relevant environmental policies and regulations within the context of the 2060 carbon neutrality target. Previous studies have extensively explored the promotion of low-carbon development in China, yet no studies have completely explained the mechanisms of the low-carbon transition in China from the perspective of per capita carbon emissions (PCEs). Based on the statistics and carbon emissions data of 367 prefecture level cities in China from 2000 to 2020, this study employed markov chain, kernel density analysis, hotspots analysis, and spatial regression models to reveal the spatiotemporal distribution patterns, future trends, and driving factors of PCEs in China. The results showed that China's PCEs in 2000, 2010, and 2020 were 0.72 ton/persons, 1.72 ton/persons, and 1.91 ton/persons, respectively, exhibiting a continuous upward trend, with evident regional heterogeneity. PCEs in northern China and the eastern coastal region were higher than those of southern China and the central and southwestern regions. The PCEs in China showed obvious spatial clustering, with hot spots mainly concentrated in Inner Mongolia and Xinjiang, while cold spots were mainly in some provinces in southern China. The transition of PCEs in China exhibited a strong stability and a 'club convergence' phenomenon. A regression analysis revealed that the urbanization level and latitude had negative effects on PCEs, while the regional economic development level, average elevation, average slope, and longitude showed positive effects on PCEs. These findings have important implications for the promotion of the low-carbon transition and the effective achievement of the dual carbon goal. |
| WOS关键词 | LAND-USE INTENSITY ; ECONOMIC-GROWTH ; CO2 EMISSIONS ; FINANCIAL DEVELOPMENT ; ENERGY-CONSUMPTION ; RENEWABLE ENERGY ; URBANIZATION ; EFFICIENCY ; COUNTRIES ; PATTERNS |
| WOS研究方向 | Environmental Sciences & Ecology |
| WOS记录号 | WOS:001323914700001 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/208009]  |
| 专题 | 区域可持续发展分析与模拟院重点实验室_外文论文 |
| 通讯作者 | Chen, Wanxu |
| 作者单位 | 1.Beijing Univ Technol, Sch Econ & Management, Beijing 100124, Peoples R China 2.Nanjing Agr Univ, Coll Publ Adm, Nanjing 210095, Peoples R China 3.China Univ Geosci, Sch Geog & Informat Engn, Dept Geog, Wuhan 430078, Peoples R China 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 5.Inner Mongolia Univ, Sch Econ & Management, Hohhot 010020, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhang, Xuewei,Zeng, Yi,Chen, Wanxu,et al. Spatio-Temporal Diversification of per Capita Carbon Emissions in China: 2000-2020[J]. LAND,2024,13(9):1421. |
| APA | Zhang, Xuewei,Zeng, Yi,Chen, Wanxu,Pan, Sipei,Du, Fenglian,&Zong, Gang.(2024).Spatio-Temporal Diversification of per Capita Carbon Emissions in China: 2000-2020.LAND,13(9),1421. |
| MLA | Zhang, Xuewei,et al."Spatio-Temporal Diversification of per Capita Carbon Emissions in China: 2000-2020".LAND 13.9(2024):1421. |
入库方式： OAI收割
来源：地理科学与资源研究所
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