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Article type: Research Article
Authors: Li, Yafenga | He, Yaob; * | Yang, Weia | Yu, Xintaoa
Affiliations: [a] School of Economics and Management, Liaoning University of Technology, Jinzhou, Liaoning, China | [b] Department of Economics and Management, Weifang University of Science and Technology, Weifang, Shandong, China
Correspondence: [*] Corresponding author: Yao He, Department of Economics and Management, Weifang University of Science and Technology, Weifang, Shandong 262700, China. E-mail: [email protected].
Abstract: This study investigated factors of the green innovation performance of industrial enterprises in 30 provinces and autonomous regions across China. This study used literature analysis and DEMATEL method to identify the factors of green innovation performance of industrial enterprises. A green innovation performance evaluation index system was then constructed, and a mathematical model was established using factor analysis method to empirically analyze the factors of green innovation performance of industrial enterprises across 30 provinces and autonomous regions in China from 2012 to 2016. The results show that green innovation strength, technological development level, energy consumption, and environmental protection are the three factors of green innovation performance. Firstly, the influence of innovation strength on comprehensive green innovation performance has the largest weight, meaning that it has the largest impact on comprehensive green innovation performance. Secondly, the influence of the level of scientific and technological development on the comprehensive green innovation performance is weaker. Thirdly, the main influencing factor is the level of energy consumption and environmental protection. Finally, based on the empirical analysis, it is suggested that industrial enterprises should increase investment in green innovation, developing science and technology, and improving ecological environment, so as to enhance the green innovation performance of industrial enterprises.
Keywords: Industrial enterprises, green innovation performance, influencing factor
DOI: 10.3233/JCM-226924
Journal: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 6, pp. 3177-3200, 2023
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