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Evaluation Model and Empirical Research on the Green Innovation Capability of Manufacturing Enterprises from the Perspective of Ecological Niche

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  • Ying Sun

    (School of Economics and Management, Harbin Engineering University, Harbin 150001, China)

  • Jianzhong Xu

    (School of Economics and Management, Harbin Engineering University, Harbin 150001, China)

Abstract

Green innovation is an important driving force in promoting the sustainable development of manufacturing enterprises and improving market competitiveness. This study selects indicators from the two aspects of ecostate and ecorole in order to reflect green research and development, cleaner production, and green marketing based on niche theory. We construct an evaluation index system to objectively and accurately assess the green innovation capability of manufacturing enterprises. Subsequently, based on the principle of relative entropy, the analytic hierarchy process, entropy weight method, and coefficient of variation method are fused to determine the combined weight of the indicators, and a multi-level, comprehensive evaluation model is constructed using cloud model tools. Finally, through an empirical analysis of the evaluation of the green innovation capability of five manufacturing enterprises, the feasibility of the model and the stability of the evaluation results are verified through three dimensions: numerical experiment, sensitivity analysis, and method comparison. The results show that the evaluation system constructed in this study is superior. It provides the basis and decision-making reference for enterprises to carry out market positioning and formulate innovation and development strategies.

Suggested Citation

  • Ying Sun & Jianzhong Xu, 2021. "Evaluation Model and Empirical Research on the Green Innovation Capability of Manufacturing Enterprises from the Perspective of Ecological Niche," Sustainability, MDPI, vol. 13(21), pages 1-21, October.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:21:p:11710-:d:663088
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    Cited by:

    1. Tingting Li & Dan Zhao & Guiyun Liu & Yuhong Wang, 2022. "How to Evaluate College Students’ Green Innovation Ability—A Method Combining BWM and Modified Fuzzy TOPSIS," Sustainability, MDPI, vol. 14(16), pages 1-17, August.
    2. Yanna Zhu & Gang He & Keyu Bao, 2022. "Driving Path and System Simulation of Green Innovation Capability of Science and Technology Enterprises in Yangtze River Delta," Sustainability, MDPI, vol. 14(20), pages 1-20, October.
    3. Mengjuan Zhang & Mingxing Li & Hongzheng Sun & Fredrick Oteng Agyeman & Hira Salah ud din Khan & Zedong Zhang, 2022. "Investigation of Nexus between Knowledge Learning and Enterprise Green Innovation Based on Meta-Analysis with a Focus on China," Energies, MDPI, vol. 15(4), pages 1-22, February.
    4. Yongmao Xiao & Renqing Zhao & Wei Yan & Xiaoyong Zhu, 2022. "Analysis and Evaluation of Energy Consumption and Carbon Emission Levels of Products Produced by Different Kinds of Equipment Based on Green Development Concept," Sustainability, MDPI, vol. 14(13), pages 1-18, June.
    5. Qiang Ma & Linfang Lu & Qingfu Li & Zhipeng Wang, 2022. "Green Construction Grade Evaluation of Large Channels Based on Uncertain AHP-Multidimensional Cloud Model," Sustainability, MDPI, vol. 14(10), pages 1-18, May.
    6. Hao Zhang & Xin Sun & Kailong Dong & Lianghui Sui & Min Wang & Qiong Hong, 2022. "Green Innovation in Regional Logistics: Level Evaluation and Spatial Analysis," IJERPH, MDPI, vol. 20(1), pages 1-20, December.
    7. Geraldo Cardoso de Oliveira Neto & Roberto Rodrigues Leite & Wagner Cezar Lucato & Rosangela Maria Vanalle & Marlene Amorim & João Carlos Oliveira Matias & Vikas Kumar, 2022. "Overcoming Barriers to the Implementation of Cleaner Production in Small Enterprises in the Mechanics Industry: Exploring Economic Gains and Contributions for Sustainable Development Goals," Sustainability, MDPI, vol. 14(5), pages 1-14, March.

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