Which Factors Influence the Regional Difference of Urban–Rural Residential CO 2 Emissions? A Case Study by Cross-Regional Panel Analysis in China

Zheng Wang, Shaojian Wang, Chuanhao Lu and Lei Hu
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Zheng Wang: Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
Shaojian Wang: Guangdong Key Laboratory for Urbanization and Geo-Simulation, School of Geography and Planning, Sun Yat-Sen University, Guangzhou 510275, China
Chuanhao Lu: University of Chinese Academy of Sciences, Beijing 100049, China
Lei Hu: University of Chinese Academy of Sciences, Beijing 100049, China

Land, 2022, vol. 11, issue 5, 1-19

Abstract: Residential CO 2 emissions (RCE) are an important component of anthropogenic CO 2 emissions. In order to formulate reasonable reduction policies and measures, it is necessary to understand the dynamics of RCE production and the factors that influence it. This paper explores the spatiotemporal evolution characteristics of RCE from the perspectives of eastern, central, and western China, as well as urban–rural areas, and analyzes the factors driving RCE based on the STIRPAT model. The results indicated that between 2010 and 2019 the eastern region contributed the greatest proportion of overall RCE and the central region saw the largest increase. Per capita RCE in urban areas was greater than in rural areas, except in eastern China. The factors affecting RCE showed regional and urban–rural differences. Population size and income per capita were two dominant factors affecting RCE for all regions. The per capita income plays a more important role in developed regions such as eastern regions and eastern urban areas. Urbanization contributed to RCE reduction in the eastern region but promoted RCE in the central and western regions. Energy structure shows a negative effect on RCE, particularly in central urban and western rural areas. Appropriate policies and measures need to be put forward to local conditions. Reduction policies and measures of each region and urban–rural area need to be based on the dominant factors driving CO 2 emissions.

Keywords: residential CO 2 emissions; spatiotemporal characteristics; driving factors; regional differences; urban–rural disparity (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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