生态与农村环境学报2016，Vol.32Issue(2)：270-276,7.DOI:10.11934/j.issn.1673-4831.2016.02.015
中国私家车碳排放空间格局及其影响因素的ESDA-GWR分析
ESDA-GWR Analysis of Spatial Pattern of Carbon Emission From Private Cars and Its Influencing Factors in China
摘要
Abstract
A study was carried out on spatial differentiation pattern, general trend, spatial heterogeneity and driving fac⁃tors of carbon emission from private cars in 312 cities of prefecture or above level in 2012, using the exploratory spatial da⁃ta analysis ( ESDA) and the geographic weight regression ( GWR) model. Results show that spatial difference in carbon e⁃mission from private cars is significant between the cities, displaying a general trend of Central China >East China >West China, and Central China >North China >South China, in terms of total volume of carbon emission, East China >West China, and North China > South China in terms of per capita carbon emission, and East China >West China, and South China > North China in terms of carbon emissions per unit area of land. GWR analysis shows that the driving factor of the per capita carbon emission from private cars also varied between cities of prefecture⁃or above levels in China. Per capita saving deposit is the major factor affecting the per capita carbon emissions from private cars, and the latter is closely relat⁃ed to the former. Per capita gross domestic product (GDP) comes the second, also has a positive relationship with carbon emission and then is followed by disposable income of urban residents, per capita living space, urbanization rate, density of the road network and Engel′s coefficient. Per capital annual expenditure of urban residents on consumption has the least influence. The influencing factors of carbon emission from private cars in the cities of prefecture or above levels in China show a clear latitudinal zonality or longitudinal zonality.关键词
私家车碳排放/探索性空间数据分析(ESDA)/地理加权回归模型(GWR)/空间异质性Key words
carbon emission from private cars/ESDA/GWR/spatial heterogeneity/China分类
建筑与水利引用本文复制引用
潘竟虎..中国私家车碳排放空间格局及其影响因素的ESDA-GWR分析[J].生态与农村环境学报,2016,32(2):270-276,7.基金项目
国家自然科学基金（41361040，41271184）；甘肃省高校基本科研业务费项目 （）
