西安石油大学学报（社会科学版）2026，Vol.35Issue(2)：70-79,90,11.
"双碳"背景下陕西县域碳排放时空异质性及影响因素分析
Analyses on the Spatial-Temporal Heterogeneity and Influencing Factors of County-level Carbon Emissions in Shaanxi Province under the Background of"Dual Carbon"
李俊亭 1张子悦 1曹金凤1
作者信息
- 1. 西安石油大学 管道工程学院,陕西 西安 710065
- 折叠
摘要
Abstract
Under the background of"dual carbon",as a major energy province in China,Shaanxi's effec-tive control of carbon emissions is crucial to the national"dual carbon"goals.Taking 107 districts and coun-ties in Shaanxi Province as the research objects,exploratory spatial data analysis(ESDA)was used to explore the spatial correlation and spatial dependence of carbon emissions in Shaanxi counties,and the spatio-tempo-ral heterogeneity of the influencing factors of carbon emissions in Shaanxi counties was analyzed based on the spatio-temporal geographic weighted regression model(GTWR).The results show that from a time series per-spective,the carbon emissions in Shaanxi Province had generally an increasing trend during the statistical peri-od;from a spatial distribution standpoint,the carbon emissions across the province exhibited a decreasing pat-tern from the northern part to the central part and then to the southern part.There was a significant spatial posi-tive correlation and spatial clustering of carbon emissions across different districts and counties.The"high-high"clustering was mainly concentrated in the second industry-developed areas of Yulin,while the"low-low"clustering was distributed in the southern Shaanxi region where the proportion of the third industry was relatively large.There was strong spatial and temporal heterogeneity in each influencing factor.GDP per capita,population density,degree of opening to the outside world and general budget expenditure had a significant pos-itive effect on county carbon emissions in Shaanxi,and industrial structure has shown a significant inhibitory effect on carbon emissions.关键词
县域碳排放/ESDA模型/GTWR模型/影响因素Key words
county carbon emissions/ESDA model/GTWR model/influencing factors分类
管理科学引用本文复制引用
李俊亭,张子悦,曹金凤.."双碳"背景下陕西县域碳排放时空异质性及影响因素分析[J].西安石油大学学报（社会科学版）,2026,35(2):70-79,90,11.
