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区域碳排放的产业部门关联机制
引用本文:施智敏,刘忠林,郝岩,刘晓宇,张力小.区域碳排放的产业部门关联机制[J].北京师范大学学报(自然科学版),2022,58(2):223-231.
作者姓名:施智敏  刘忠林  郝岩  刘晓宇  张力小
作者单位:1.北京师范大学环境学院环境模拟与污染控制国家重点联合实验室,100875,北京
基金项目:国家自然科学基金资助项目(52070022,72161147003);
摘    要:以吉林省为例,基于环境扩展投入产出与生态网络分析方法,建立了吉林省2002、2017年区域碳代谢系统网络模型,探究东北老工业基地振兴计划实施下产业部门间的碳排放流动过程,解析碳排放的产业部门关联机制.结果表明:1)研究期间,吉林省的碳排放量大幅增长,从2002年的2.54×104 万t增加到2017年的4.36×104 万t,其中间接碳排放是吉林省碳排放的主要方式.2)与能源和资源供给相关的部门是系统中重要的控制部门,优势制造业及服务业部门是系统中主要的汇集部门.随着东北振兴对技术密集型产业发展的需求,技术密集型产业在系统中的作用越来越重要.3)系统以限制/掠夺关系为主导,研究期间竞争关系数量下降9.25%,共生关系数量上升6.61%.4)系统冗余度增加,效率降低,稳健性指数从0.32下降到0.31,表明系统处于不可持续发展状态. 

关 键 词:碳中和    生态网络分析    环境扩展投入产出分析    东北老工业基地    吉林省
收稿时间:2021-04-19

Industrial sector correlation mechanism of regional carbon emissions: an empirical study of Jilin province based on ecological network analysis
Institution:1.State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Beijing Normal University, 100875, Beijing, China2.Linyi City Ecological Environment Monitoring Center, 276000, Linyi, Shandong, China
Abstract: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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