Empirical analysis of the factors of the green innovation performance of industrial enterprises based on DEMATEL method and factor analysis method

IF 0.5 Q4 ENGINEERING, MULTIDISCIPLINARY Journal of Computational Methods in Sciences and Engineering Pub Date : 2023-12-15 DOI:10.3233/jcm-226924

Yafeng Li, Yao He, Wei Yang, Xintao Yu

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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.

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基于 DEMATEL 法和因子分析法的工业企业绿色创新绩效因素实证分析

本研究调查了全国 30 个省市自治区工业企业的绿色创新绩效因素。本研究运用文献分析法和 DEMATEL 法识别了工业企业绿色创新绩效的影响因素，构建了绿色创新绩效评价指标体系，并运用因子分析法建立了实证分析工业企业绿色创新绩效的数学模型。然后构建了绿色创新绩效评价指标体系，并利用因子分析法建立了数学模型，对全国 30 个省市自治区 2012 年至 2016 年工业企业绿色创新绩效因子进行了实证分析。结果表明，绿色创新实力、技术发展水平、能源消耗和环境保护是影响绿色创新绩效的三个因素。首先，创新实力对绿色创新综合绩效的影响权重最大，即创新实力对绿色创新综合绩效的影响最大。其次，科技发展水平对绿色综合创新绩效的影响较弱。第三，能源消耗和环境保护水平是主要影响因素。最后，基于实证分析，建议工业企业加大绿色创新投入，发展科学技术，改善生态环境，从而提升工业企业的绿色创新绩效。

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来源期刊

Journal of Computational Methods in Sciences and Engineering ENGINEERING, MULTIDISCIPLINARY-

CiteScore

0.80

自引率

0.00%

发文量

152

期刊介绍： The major goal of the Journal of Computational Methods in Sciences and Engineering (JCMSE) is the publication of new research results on computational methods in sciences and engineering. Common experience had taught us that computational methods originally developed in a given basic science, e.g. physics, can be of paramount importance to other neighboring sciences, e.g. chemistry, as well as to engineering or technology and, in turn, to society as a whole. This undoubtedly beneficial practice of interdisciplinary interactions will be continuously and systematically encouraged by the JCMSE.