Analysis of Carbon Emission Spatial-temporal Pattern and Influencing Factors in Yichang-Jingzhou-Jingmen-Enshi Urban Agglomeration
SUN Zhijie
SHAO Yuanyao
WANG Yu
ZHANG Yifan
WANG Xin
Abstract:In view of the existing problems in carbon emission related research,such as excessive research scale,few studies in non-developed regions,and insufficient interaction analysis of influencing factors.Taking Yichang-Jingzhou-Jingmen-Enshi urban agglomeration as an example,the spatial-temporal pattern and influencing factors of carbon emission in emerging urban agglomeration were studied.Based on the carbon emission data from 1997 to 2017,this study used carbon emission intensity analysis,spatial autocorrelation analysis,and geoprobes to explore the spatiotemporal evolution and influencing factors of carbon emissions.The results showed that:over time,the carbon emissions of the Yichang-Jingzhou-Jingmen-Enshi urban agglomeration had shown an overall increasing trend;spatially,the overall distribution pattern of carbon emissions and carbon emission intensity was relatively stable,with certain spatial aggregation characteristics,showing a ″high in the north,low in the south″and ″high in the east,low in the west″pattern;the spatial differentiation of carbon emissions was influenced by multiple factors,among which the number of large-scale enterprises and household savings deposits had the most significant impact.The interaction between various influencing factors had an important spatial superposition effect on the spatial differentiation pattern of carbon emissions.Based on the research results,suggestions are made to adjust the energy structure,enhance carbon sink capacity,accelerate industrial transformation,optimize spatial layout,and promote low-carbon living,which can provide basis for formulating carbon emission policies in urban agglomerations and provide reference for related research in similar areas.
Keywords:urban agglomerationcarbon emissionspatial-temporal patternspatial autocorrelationgeographical detector
Publication Date:2024-06-20
Online Publishing Date:2025-08-15(First online date of this platform, not the publication date of the document)
Pages:8( 285-292 )