SPATIO-TEMPORAL PATTERN AND INFLUENCING FACTORS OF COUNTY CARBON EMISSION IN CHENGDU-CHONGQING ECONOMIC CIRCLE
Based on carbon emission data from 141 counties in the Chengdu-Chongqing Economic Circle over the past 16 years(2002-2017),the spatial autocorrelation,decoupling model,and GTWR model were used to analyze the differences and influencing factors in the spatiotemporal pattern of per capita carbon emissions in the counties of the region.The results show that from 2003 to 2017,the average annual growth rates of total carbon e-missions and per capita carbon emissions in the Chengdu-Chongqing Economic Circle counties were 5.43％and 4.68％,respectively.Having gone through a development stage of"significant rise high volatility".(2)There is a spatial positive correlation between per capita carbon emissions in counties,and high concentration areas are located in the"dual core"area composed of districts and counties in Chengdu and the main urban area of Chongqing.(3)The development types of counties have been optimized and improved,with low-carbon de-velopment counties accounting for 44.37％.(4)The ranking of the impact coefficients is:technological pro-gress＞economic development level＞urbanization rate＞industrial structure＞population size＞fiscal invest-ment.Technological progress and economic development level are the primary influencing factors of the city's re-gional counties.Population size has a significant positive impact on the counties at the border of Sichuan and Chongqing,while fiscal investment has a significant negative effect on most regions.
per capita CO2 emissionsChengdu-Chongqing Ecoromic CircleTapio modelGTWR model
NETL
NSTL
万方数据
