辽宁农业科学Issue(3)：8-15,8.DOI:10.3969/j.issn.1002-1728.2025.03.002
辽宁省县域经济发展与碳排放的时空演变分析
Analysis of the Spatiotemporal Evolution of County-level Economic Development and Carbon Emissions in Liaoning Province
摘要
Abstract
As one of the typical representatives of the old industrial base in Northeast China,Liaoning's coun-ty-level economic development has long relied on an industrial system with high energy consumption and high carbon emissions.Based on panel data from 41 county-level administrative units in Liaoning Province from 2013 to 2022,this study uses the Tapio decoupling model,Theil index,and spatial autocorrelation analysis methods to explore the interactive relationship and spatial distribution characteristics between economic growth and carbon emissions.Research has found that the decoupling state between county-level economic growth and carbon emissions in Liaoning Province is still unstable.Coastal open county-level areas performed better in the early stages,but in recent years,they have returned to a"declining negative decoupling"state.The central urban agglomeration county-level areas and the northwest ecologically fragile county-level areas have long been in a"declining negative decoupling"state,and the regional low-carbon transformation is constrained by indus-trial structure and energy consumption patterns.The overall trend of carbon emission intensity shows an initial increase followed by a decrease,with significant regional differences.Coastal open county areas have relatively lower carbon emission intensity,while central urban agglomeration county areas and northwest ecologically fragile county areas are in a high carbon emission state.The regional differences in carbon emission intensity among counties in Liaoning Province have widened,with the most significant internal differences in coastal open counties and the smallest differences in central urban agglomeration counties.The overall carbon emis-sion intensity in Liaoning Province has not yet formed a significant spatial clustering effect.Some counties in the central urban agglomeration and ecologically fragile counties in the northwest have shown a"high high clustering"pattern,while coastal open counties have shown a"high low clustering"pattern.关键词
县域经济/碳排放/脱钩分析/空间自相关Key words
County-level economy/Carbon emissions/Decoupling analysis/Spatial autocorrelation分类
经济学引用本文复制引用
刘铮,杨一,赵月峰,潘小曼,赵英明,李元鑫,邓春晖..辽宁省县域经济发展与碳排放的时空演变分析[J].辽宁农业科学,2025,(3):8-15,8.基金项目
辽宁省社会科学规划基金项目(L21CJY016) （L21CJY016）
