Regional industrial development trend under the carbon goals in China

被引:2
|
作者
Xie, Yuhan [1 ]
Chen, Yan [1 ]
Wu, Lifeng [1 ,2 ]
机构
[1] Hebei Univ Engn, Hebei Key Lab Intelligent Water Conservancy, Handan, Peoples R China
[2] Hebei Univ Engn, Hebei Key Lab Intelligent Water Conservancy, Handan 056038, Peoples R China
基金
中国国家自然科学基金;
关键词
Double carbon target; industrial output value; carbon emission scenarios; gray multivariate model; AGMC model; PREDICTION MODEL;
D O I
10.1080/15567036.2023.2225466
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
The arrival of the dual-carbon era indicates that it is imperative to reduce industrial carbon emissions with high carbon emissions. The implementation of carbon emission reduction will inevitably have an impact on industrial development. Three different carbon emission scenarios were established. Based on the average annual carbon emission growth rate of the past decade, it is set as a medium carbon scenario. According to the economic development stage and actual social development situation of each region, the corresponding annual average carbon emission growth rate is increased and decreased to set up high carbon and low carbon scenarios. The adjacent accumulation gray multivariate model for industries is established based on different scenarios. The results indicate that the carbon emission scenarios most suitable for industrial development in various regions are different. Heavy industrial provinces and cities such as Beijing, Tianjin and Hebei have the highest industrial output value under high carbon scenarios; Provinces and cities with high levels of industrialization, such as Jiangsu, Shanghai, Guangdong and Chongqing have the highest industrial output value under low-carbon scenarios. The industrial output value of Hebei is expected to grow the fastest under the high carbon scenario, reaching 2.15 trillion yuan by 2030. The industrial output value of Guangdong achieves the greatest improvement under low-carbon scenario. It is expected that the industrial output value of which will reach 6.86 trillion yuan by 2030, ranking first in the country. Therefore, the setting of carbon emission scenarios needs to be tailored to local conditions, increase technological innovation efforts, and further promote industrial development.
引用
收藏
页码:8029 / 8046
页数:18
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