An analysis of carbon emissions from per capita energy consumption in central Yunnan urban agglomeration based on DMSP/OLS-NPP/VIIRS nighttime lighting data
Based on DMSP/OLS-NPP/VIIRS nighttime lighting dataset inversion of carbon emissions from energy consumption in the central Yunnan urban agglomeration(CYU),the spatial and temporal dynamics of carbon emissions were quantified from per-capita energy consumption in CYU from 2006 to 2021 by using Global Moran's I,local indicators of spatial association indicators;spatial and temporal jump matricesand in per capita driving factors of carbon emission were analyzed via the geographically and temporally weighted regression model.The results showed that there was a positive spatial correla-tion between per-capita carbon emissions from energy consumption in CYU,and this correlation contin-ued to fluctuate and increase;the high-high clusters were mainly distributed in the core area of CYU,while the low-low clusters mainly located in the northwestern part of the province.The clustering type of per capita carbon emissions in the counties was relatively stable,with a path-dependence effect,and the type-4 leap dominated the area,but this tendency was weakening,and the spatial cohesion of per capita carbon emissions was relatively stable from 2006 to 2009.The cohesion reached 91.84％from 2006 to 2009,but only 67.35％from 2017 to 2021;carbon emission intensity,total population,urbanization rate,share of secondary industry,share of tertiary industry,and GDP per capita were the main drivers of per capita carbon emissions,and the role of GDP per capita was weakening,and the role of carbon emission intensity gradually increasing.
central Yunnan urban agglomerationcarbon emissionnighttime lighting dataspatial differ-entiationgeographically and temporally weighted regression model
万方数据
维普
