Based on the multi-dimensional perspective,the investigation of the impact of regional integration on carbon emissions is helpful to promote the coordinated development of regional integration and carbon emission,and promote the ecological-green integrated development in the Yangtze River Delta.Based on the model of entropy method and the bivariate Local Moran's Ii,this paper analyzes the spatial-temporal characteristics of regional integration and carbon emissions in the Yangtze River Delta from 2006 to 2020,and constructs a spatial lag panel model to investigate the influential factors of carbon emissions.The results show that:1)There were obvious regional differences and stable spatial pattern in regional integration and carbon emissions,and the overall spatial pattern was decreasing from the provincial capital cities to the surrounding areas.Shanghai,Nanjing,Hangzhou,Suzhou,Nantong,Wuxi and Ningbo were at relatively higher levels of regional integration and carbon emissions.2)A significantly positive correlation between regional integration and carbon emissions generally showed a fluctuated decreasing trend.A significantly positive spatial correlation between regional integration and carbon emissions in neighboring cities fluctuated upward.The spatial correlation between the regional integration of cities and the carbon emissions of neighboring cities was relatively stable in the Yangtze River Delta.3)The results of the spatial lag panel model showed that optimizing the development integration structure was an important way to reduce the carbon emissions.Meanwhile,space integration,factor integration,per capita GDP and the proportion of foreign direct investment in GDP had a markedly negative impact on reducing carbon emissions.The energy consumption per unit of GDP had a markedly positive impact on reducing carbon emissions.
关键词
多维度视角/区域一体化/碳排放/要素流动/空间一体化/低碳发展/长三角地区
Key words
multidimensional perspective/regional integration/carbon emissions/elements flow/spatial integration/low-carbon development/Yangtze River Delta region
维普
万方数据