Spatiotemporal Pattern and Influencing Factors of Multi-scale Carbon Emissions in Yunnan Province
Based on the integrated data sets of DMSP/OLS and NPP-VIIRS nighttime lights,a carbon emission estimation model of Yunnan Province was constructed.The goodness of fit reached 0.828.The spatial autocorrelation analysis method was used to explore the spatial pattern of carbon emissions,and the geographically weighted regression model was used to explore its influencing factors.The results show that,1)Yunnan Province's carbon emissions have generally shown an evolution process from high growth rate to low growth rate in the past two decades.The expansion trend of high-carbon districts and counties is relatively stable,and the county-level and city-level scales are basically con-sistent.2)County-level facies have significant spatial heterogeneity and regional aggregation characteris-tics,which are characterized by low carbon agglomeration in the northeast and high carbon agglomera-tion in the east and south.3)This study has also explored four factors affecting the spatial differentiation of carbon emissions.There is a positive correlation between population and the proportion secondary industry account for the ratio shows.There are varying degrees of two-way correlation between per capita GDP and per capita disposable income.The degree of influence is in the following order:popu-lation>proportion of secondary industry>per capita GDP>per capita disposable income.
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