期刊
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
卷 24, 期 6, 页码 7640-7664出版社
SPRINGER
DOI: 10.1007/s10668-021-01751-z
关键词
Beijing-Tianjin-Hebei cooperation; Carbon emission efficiency; Super-efficiency EBM model; Spatio-temporal effect; Spatial quantile regression
The study found that the carbon emission efficiency in the Beijing-Tianjin-Hebei region is generally at a medium level, with significant spatial agglomeration characteristics. The high-high agglomeration areas are primarily located in the central region, while the low-low areas are mainly in the southern and northern regions. Different factors have varying regression coefficients on CEE at different quantiles.
Improving carbon emission efficiency (CEE) would promote the development of the green and low-carbon economy in the Beijing-Tianjin-Hebei (BTH) region, China. This paper uses the EBM model of unexpected output to measure the city-level CEE of the BTH region from 2007 to 2016. The spatial distribution characteristics and evolution law of CEE are analyzed with respect to overall and local aspects, and the spatial quantile regression model is used to verify the influencing factors of CEE. The main findings are as follows: (1) The carbon emission in the BTH region is considered to be of medium efficiency, and there are eight cities within the region at middle- and high-efficiency levels. The overall efficiency values show a downward trend. Beijing, Cangzhou, Baoding have high-CEE values, whereas Handan, Tangshan, and Zhangjiakou have low-CEE values. (2) The CEE values for BTH show significant spatial agglomeration characteristics at both the global and local levels. The H-H agglomeration areas are primarily distributed in the central region, and the L-L agglomeration areas are chiefly distributed in the southern and northern regions. The spatial pattern change is generally stable. (3) The selected factors, URB, PGDP, DS, ISG, FDI, and TEL, have different regression coefficients on CEE at different quantiles.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据