华北水利水电大学学报（社会科学版）2024，Vol.40Issue(4)：1-11,11.DOI:10.13790/j.ncwu.sk.2024.040
煤炭资源型地区县域碳排放时空特征及驱动因素分析
Analysis of Spatial and Temporal Characteristics and Driving Factors of Carbon Emissions at the County Level in Coal Resource-Based Areas:Take Shanxi Province as an Example
摘要
Abstract
Scientific and orderly promotion of low-carbon transformation in coal resource-based areas is an important support for the smooth operation and high-quality development of China's economy and society.With Shanxi Province as an example,we used spatial autocorrelation and geodetector methods to reveal the temporal and spatial pattern evolution and influencing factors of carbon emissions at the county level in Shanxi Province,based on the carbon emission data of 118 districts and counties in Shanxi Province from 2000 to 2017,as well as related socio-economic and natural environmental data.The study found that the overall car-bon emissions in Shanxi Province showed a continuous growth trend from 2000 to 2017,with an average annu-al growth rate of 5.20%.The carbon emissions of most districts and counties show a significant growth trend,and the overall distribution pattern of carbon emissions is high in the center and low on both sides.During the study period,the county carbon emissions in Shanxi Province have significant spatial agglomeration character-istics,and high-high aggregation and low-low aggregation are the main characteristics of the local spatial dis-tribution of county carbon emissions.The impact of socioeconomic factors on the spatial differentiation of county carbon emissions in Shanxi Province is obvious,while the impact of natural environmental factors is relatively small,but the explanatory power of natural environmental factors and socioeconomic factors on the spatial differentiation of county carbon emissions in Shanxi Province is significantly enhanced after interaction.Industrial energy intensity ∩ annual average precipitation,annual average temperature ∩ vegetation cover-age,and general public budget expenditure ∩ industrial structure have the highest explanatory power for the spatial differentiation of carbon emissions in northern,central and southern Shanxi,respectively.The research results can provide differentiated and refined decision support for the low-carbon transformation and high-qual-ity economic development of Shanxi Province,and provide reference for the sustainable development of other coal resource-based regions.关键词
碳排放/空间自相关/地理探测器/驱动因素Key words
carbon emissions/spatial autocorrelation/geographic detectors/driving factors分类
资源环境引用本文复制引用
齐璇璇,黄蕊,贾一越,黄庆..煤炭资源型地区县域碳排放时空特征及驱动因素分析[J].华北水利水电大学学报（社会科学版）,2024,40(4):1-11,11.基金项目
国家重点研发计划项目(2020YFA0608601) （2020YFA0608601）
国家自然科学基金项目(42230406,41701615) （42230406,41701615）
