Research on Decoupling and Driving Factors of Industrial Ecosystem in Jiangsu Province

被引：0
|
作者：
Li, Wen-wen [1 ]
Wang, Wen-ping [1 ]
Zhou, Tian-tian [1 ]
Qin, Ying-bo [1 ]
机构：
[1] Southeast Univ, Sch Econ & Management, Nanjing 211189, Jiangsu, Peoples R China
来源：
2015 15TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS (ICCAS) | 2015年
关键词：
Industrial solid waste; decoupling; LMDI method; Driving factors; ECONOMIC-GROWTH; DECOMPOSITION ANALYSIS; CHINA; ENERGY; ENVIRONMENT; EMISSIONS;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Industrial sectors have resulted in a large amount of pollution. Environmental degradation problem requires more indepth research on relationships between different sectors' economic output and pollutant emissions. This paper analyzes the relationship between industrial economy and ecology. On the basis of it, the driving factors of industrial sectors' pollution emissions are analyzed. Firstly, decoupling elasticity of industrial sectors in Jiangsu province during 2004-2013 is analyzed by Tapio decoupling model. And then, the industrial sectors are classified into three types according to the different decoupling elasticity. Finally, the three types of industrial sectors' driving factors of industrial solid waste output are decomposed by LMDI method. The results show that: industrial sectors in Jiangsu province are divided into strong decoupling sectors, weak decoupling sectors and expansive negative decoupling sectors; economic development significantly promotes the increase of industrial solid waste output of all sectors; technology improvement and industrial structure largely decrease industrial solid waste output of strong decoupling sectors and weak decoupling sectors; however, technology improvement accelerates industrial solid waste output of expansive negative decoupling sectors; the role of industrial structure factor changes from restraint to promotion of expansive negative decoupling sectors.
引用
收藏
页码：1656 / 1661
页数：6
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