中立
中国
碳中和
土地利用
碳纤维
环境资源管理
环境科学
自然资源经济学
环境规划
地理
环境保护
温室气体
政治学
经济
土木工程
计算机科学
地质学
法学
工程类
考古
算法
海洋学
复合数
作者
Xiaowei Chuai,Mengyao Xia,Xin Ye,Qiujingyi Zeng,Jiaxin Lu,Fengtai Zhang,Lijuan Miao,Yan Zhou
标识
DOI:10.1016/j.eiar.2022.106893
摘要
An examination of regional carbon neutrality gaps is needed for China to reach its 2060 carbon neutrality goal. China ' s carbon sink remains uncertain, and regional interactions require the scientific check of carbon emission reduction responsibility. This study provides a design for a new research framework to check the carbon neutrality gap in each province of China by considering regional inequities and diagnosing land-use problems to recommend some optimizations. The results show that Yunnan, Sichuan, and Hainan are the only regions with more carbon sinks than emissions. North and northwest China have more regions with large gaps between their current state and carbon neutrality. Hebei, Shandong, and Jiangsu have the largest gaps, while small gaps occur more in the southwest. Except for Jiangsu, the developed regions send considerable amount of carbon emissions to the undeveloped regions. There is obvious regional inequity, and 17 provinces should take their extra carbon emissions back that are sent to other regions. Shanghai, Tianjin, and Beijing have much larger carbon neutrality gaps per unit area compared with other provinces. Both land-use structure and land-use efficiency can determine the regional carbon neutrality gaps. The regions with higher percentages of built-up and industrial land are mostly located in the east and along the coastline, while the regions with higher percentages of vegetated land are concentrated in the south. The undeveloped regions are characterized by the low efficiency of industrial land, while the developed regions are marked by the low efficiency of cropland. In general, the developed regions have more advantages. Low-carbon land-use strategies should be developed according to regional physical conditions and from the perspective of regional coordination and fair development. • China , s carbon neutrality gaps were examined at grid scale without considering regional interactions. • Both carbon emissions and vegetation carbon loss embodied in inter-provincial trade were figured out by MRIO. • Provincial carbon neutrality gaps were rechecked based on the carbon embodied in trade. • Land use problems were diagnosed and policy implications were proposed.
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