The impact of industrial structure adjustment on the spatial industrial linkage of carbon emission: From the perspective of climate change mitigation

被引:51
|
作者
Zheng, You [1 ,2 ,5 ]
Tang, Jian [3 ]
Huang, Fubin [4 ]
机构
[1] Chongqing Vocat Inst Engn, Chongqing, Peoples R China
[2] China Univ Geosci Wuhan, Sch Econ & Management, Wuhan, Peoples R China
[3] Southwest Univ, Sch Econ & Management, Chongqing, Peoples R China
[4] Southwest Univ, Sch Business Coll, Chongqing 402460, Peoples R China
[5] Chongqing Econ & Social Dev Res Inst, Chongqing, Peoples R China
关键词
Industrial structure adjustment; Carbon emission; Industrial spatial linkage network; Social network analysis; CO2; EMISSIONS; DECOMPOSITION ANALYSIS; DIOXIDE EMISSIONS; ECONOMIC-GROWTH; DRIVING FORCES; EMPIRICAL-ANALYSIS; CHINA; ENERGY; TRANSFORMATION; LEVEL;
D O I
10.1016/j.jenvman.2023.118620
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Industrial structure adjustment is an effective way to reduce carbon emissions. When adjusting the industrial structure, changes in the input and output of industrial sectors in one region may cause changes in industrial sectors of other regions, resulting in inter-regional industrial linkages. What is the impact of industrial structure adjustment on the linkages, and how does it impact climate change? The modified gravity model combines the influence and inductive coefficients to build the carbon emission industrial spatial linkage network (ISL) using social network analysis (SNA) in this work with the data of China's 2008-2019 provincial carbon emissions. The impact of industrial structure adjustment on carbon emission industrial spatial linkage network and its effect on climate change mitigation are explored with the help of the STIRPAT model and quality assurance procedure (QAP). The results of this study are as follows: (1) The provincial carbon emissions under industrial spatial linkages show significant network characteristics, the network density increased from 0.1437 in 2008 to 0.323 in 2019. (2) There is a significant spatial spillover effect in the industrial spatial linkage network (2019) centered on Shandong and Jiangsu. The provinces can be divided into 4 blocks, which play different roles in the network. (3) The industrial structure upgrading can significantly promote the carbon emission industrial linkage network and mitigate climate change. (4) The industrial structure rationalization can promote the development of the network and mitigate climate change in the early and late development stages of carbon emissions industrial linkage. In addition, it is necessary for the government to pay more attention to the development level of the carbon emission spatial industrial linkage network when implementing industrial structure adjustment in response to climate change.
引用
收藏
页数:17
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