RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN >> 2020, Vol. 29 >> Issue (12): 2572-2583.doi: 10.11870/cjlyzyyhj202012002
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WAN Lun-lai,LIN Chun-xing,CHEN Yi
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Abstract: In order to reveal the characteristics of temporal and spatial patterns of interprovincial carbon compensation in China,this paper improves the calculation model of carbon compensation based on absolute carbon deficit, and constructs the calculation model of carbon compensation based on relative carbon deficit.The result of research shows that (1)The total amount of carbon compensation in China showed a downward trend, presenting a significant feature of stage from 2007 to 2017, which was mainly affected by the new normal of China’s economic development and the continuous slowdown of GDP growth across the country.(2) From the perspective of various provinces (cities) in China: The provinces (cities) with the highest carbon compensation mainly includes Shanghai, Liaoning, Jiangsu, Tianjin, Shandong, Zhejiang, Shanxi, and Beijing, while the provinces with the lower carbon compensation are Inner Mongolia, Xinjiang, Guangdong, and Heilongjiang. (3)The hot spots areas of China’s carbon compensation are mainly distributed in the eastern coastal regions such as Jiangsu,Zhejiang and Shanghai,while the cold spots areas are mainly spreaded in both the northwest regions like Gansu ,Qinghai and Xinjiang and the northeast regions like Heilongjiang and Jilin. The overall amount of carbon compensation shows a decreasing spatial pattern from the the eastern coastal areas,Beijing-Tianjin and the northern coastal areas to the periphery, showing that the economically developed regions pay compensation to the economically underdeveloped regions. Moreover, the space pattern of carbon compensation in China changed little from 2007 to 2017, that is to say,the space pattern of carbon compensation has the feature of “inertia”.
WAN Lun-lai, LIN Chun-xing, CHEN Yi. Temporal and Spatial Patterns of Interprovincial Carbon Compensation in China Based on Relative Carbon Deficit[J].RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2020, 29(12): 2572-2583.
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URL: https://yangtzebasin.whlib.ac.cn/EN/10.11870/cjlyzyyhj202012002
https://yangtzebasin.whlib.ac.cn/EN/Y2020/V29/I12/2572
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