SHI Zhimin, LIU Zhonglin, HAO Yan, LIU Xiaoyu, ZHANG Lixiao. Industrial sector correlation mechanism of regional carbon emissions: an empirical study of Jilin province based on ecological network analysis[J]. Journal of Beijing Normal University(Natural Science), 2022, 58(2): 223-231. DOI: 10.12202/j.0476-0301.2021096
Citation: SHI Zhimin, LIU Zhonglin, HAO Yan, LIU Xiaoyu, ZHANG Lixiao. Industrial sector correlation mechanism of regional carbon emissions: an empirical study of Jilin province based on ecological network analysis[J]. Journal of Beijing Normal University(Natural Science), 2022, 58(2): 223-231. DOI: 10.12202/j.0476-0301.2021096

Industrial sector correlation mechanism of regional carbon emissions: an empirical study of Jilin province based on ecological network analysis

  • The target of peak carbon dioxide emissions and carbon neutrality puts forward new requirements for systematic energy saving and emission reduction of regional industrial economy.In this paper, an ecological network model based on environmentally extended input-output tables was developed to explore the carbon emission flow process among industrial sectors and analyze the correlation mechanism of industrial departments for carbon emission under the revitalization plan of the old industrial base in Northeast China.The results showed that: 1) The carbon emission of Jilin province increases significantly during the study period, from 254 million tons in 2002 to 436 million tons in 2017.The indirect carbon emission is the primary form.2) Energy and resource related sectors are main controllers in the system, and the advantageous manufacturing and service sectors are the key gathering sectors in the system.With the demand for the development of technology-intensive industries in the revitalization policy, these sectors are playing an increasingly important role in the system.3) The dominance of restriction/predation relationships among the sectors remained unchanged, while the number of competitive relationships decreased by 9.25%, and the number of symbiotic relationships increased by 6.61%.4) The robustness index decreased from 0.32 to 0.31 due to the increase of redundancy and decrease of efficiency in the system, which is an unfavorable trend for regional sustainability development.
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