[Wang, Zhaofeng] Hunan Normal Univ, Dept Tourism, Changsha 410081, Peoples R China.
[Shao, Haiqin] Cent South Univ Forestry & Technol, Dept Tourism, Changsha 410004, Peoples R China.
[Shao, Haiqin] Cent South Univ Forestry & Technol, Dept Tourism, 498 Shaoshan South Rd, Changsha, Hunan, Peoples R China.
通讯机构：
[Shao, HQ ] C
Cent South Univ Forestry & Technol, Dept Tourism, Changsha 410004, Peoples R China.
Cent South Univ Forestry & Technol, Dept Tourism, 498 Shaoshan South Rd, Changsha, Hunan, Peoples R China.
语种：
英文
关键词：
Carbon emission efficiency;Spatiotemporal interaction;Exploratory spatiotemporal data analysis;Multiscale geographically weighted regression;Yangtze River Economic Belt
Exploring the spatiotemporal evolution and influencing factors of carbon emission efficiency (CEE) is crucial for achieving the goal of urban carbon neutrality. However, most of the existing studies ignore the temporal dependence of the spatial pattern evolution of CEE and the scale variability of the factors influencing CEE. With the help of an exploratory spatiotemporal data analysis framework, this paper examined the spatiotemporal interactions of CEE across 110 cities in the Yangtze River Economic Belt (YREB). In addition, a multiscale geographically weighted regression model was employed ...
