成渝城市群碳排放时空特征及其影响因素

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Abstract The spatial auto-correlation model and the geographically and temporally weighted regression model were applied in this study to explore the spatial-temporal evolution pattern and influencial factors of carbon emissions in 16cities of Chengdu-Chongqing urban agglomeration during the period of 2008~2018. The results showed that the overall carbon emissions were growing, with the total amount increased from 500 million tons to 660 million tons at a growth rate of about 1500 t/a. The land-average carbon emissions and per capita carbon emissions also had a fluctuating upward trend. The hot spots were Chengdu and Chongqing, accounted for about 20% and 25% of the total carbon emissions respectively, while the cold spot was Ya'an. There were significant spatial differences in both total carbon emissions and land-average carbon emissions. The Moran index of per capita carbon emissions was positive, showing an obvious spatial aggregation pattern. On the whole, the per capita carbon emissions demonstrated the spatial structure characteristics of "lower in the northeast-higher in the southwest", with Nanchong, Suining, and Guang'an being the lower-gathering areas. The influencial factors of each city showed spatial and temporal heterogeneity. Energy intensity, economic development level, and population size all had a significant positive effect on urban carbon emissions, and the effect was strong in the central and western cities; while the positive effect of urbanization level was weak, and the impact on the eastern cities was stronger.

Key words： Chengdu-Chongqing urban agglomeration carbon emission spatial autocorrelation GTWR model driving factor

Received: 04 March 2022

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	WEI Yan-ting
	LI Si-jia
	ZHANG Hua

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WEI Yan-ting,LI Si-jia,ZHANG Hua. Temporal-spatial evolution of carbon emission and driving factors in the Chengdu-Chongqing urban agglomeration[J]. CHINA ENVIRONMENTAL SCIENCECE, 2022, 42(10): 4807-4816.

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http://www.zghjkx.com.cn/EN/ OR http://www.zghjkx.com.cn/EN/Y2022/V42/I10/4807

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