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Evaluation research on green degree of equipment manufacturing industry based on improved particle swarm optimization algorithm.

Authors :
Wang, Rong
Feng, Yue
Source :
Chaos, Solitons & Fractals. Feb2020, Vol. 131, pN.PAG-N.PAG. 1p.
Publication Year :
2020

Abstract

• Construct the green degree evaluation system of equipment manufacturing industry. • Verify the applicability of the particle swarm optimization algorithm method. • Evaluated the green degree of China's equipment manufacturing industry. • Proposing to improve the green degree of China's equipment manufacturing industry. The paper constructs the green degree evaluation system of equipment manufacturing industry, and then the improved particle swarm optimization algorithm is used to measure the green degree of China's equipment manufacturing industry. The results show that the improved particle swarm optimization algorithm is a better method to evaluate the green degree of China's equipment manufacturing industry. The paper measure the green degree of China's equipment manufacturing industry is 0.51, which is at a low level. So it is need to adopt policies to promote green degree to achieve sustainable development goals. In view of this, the paper proposes policy recommendations for the green degree of China's equipment manufacturing industry from the perspectives of improving relevant policies, technological upgrading and environmental protection input, applying legal policy systems, and increasing financial support. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09600779
Volume :
131
Database :
Academic Search Index
Journal :
Chaos, Solitons & Fractals
Publication Type :
Periodical
Accession number :
141754764
Full Text :
https://doi.org/10.1016/j.chaos.2019.109502