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Improving the Effectiveness of Multi-Agent Cooperation for Green Manufacturing in China: A Theoretical Framework to Measure the Performance of Green Technology Innovation

Author

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  • Shi Yin

    (College of Economics and Management, Hebei Agricultural University, Baoding 071000, China
    School of Economics and Management, Harbin Engineering University, Harbin 150001, China)

  • Nan Zhang

    (College of Economics and Management, Hebei Agricultural University, Baoding 071000, China)

  • Baizhou Li

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

Abstract

A green manufacturing system is an important tool to realize green transformation of the manufacturing industry. The systematicness of green technology innovation as the key foundation of green manufacturing supports the entire huge green manufacturing system. In order to improve the effectiveness of multi-agent cooperation, it is necessary to analyze a series of green technology innovation achievements of manufacturing enterprises under multi-agent cooperation. First of all, inter-indicator correlation analysis and exploratory factor analysis were used to construct the evaluation index system of the green technology innovation performance of manufacturing enterprises under multi-agent cooperation. Then, a secondary combined evaluation model was constructed based on the evaluation conclusions. Finally, a theoretical framework was constructed to measure the performance of the green technology innovation of manufacturing enterprises under multi-agent cooperation. The results of this study are as follows: The evaluation index system of the green technology innovation performance of manufacturing enterprises under multi-agent cooperation is composed of the technology output, economic output, and social effect of green technology innovation. The key factors that influence the green technology innovation performance of manufacturing enterprises under multi-agent cooperation are the proportion of green technology transformation in traditional technology, the number of papers published jointly by multi-agent cooperation, the user acceptance of green technology products, and the degree of improvement of public environmental preference and consciousness. A fusion of technology of subjective and objective methods is an effective evaluation technique and can be applied to evaluate the performance of green technology innovation. The secondary combined evaluation combines the evaluation conclusions obtained by each single evaluation method in a certain form.

Suggested Citation

  • Shi Yin & Nan Zhang & Baizhou Li, 2020. "Improving the Effectiveness of Multi-Agent Cooperation for Green Manufacturing in China: A Theoretical Framework to Measure the Performance of Green Technology Innovation," IJERPH, MDPI, vol. 17(9), pages 1-27, May.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:9:p:3211-:d:354174
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    Cited by:

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    2. Ching-Hsun Chang, 2020. "Green Open Innovation Activities and Green Co-Innovation Performance in Taiwan’s Manufacturing Sector," IJERPH, MDPI, vol. 17(18), pages 1-15, September.
    3. Weize Sun & Mingtao Yu & Haotian Zhang & Yifan Zhang, 2022. "Does Uncertainty of Trade Environment Promote Green Technological Innovation? Empirical Evidence from China," Sustainability, MDPI, vol. 14(23), pages 1-22, December.
    4. Dinesh Seth & Minhaj Ahemad A. Rehman, 2022. "Critical success factors‐based strategy to facilitate green manufacturing for responsible business: An application experience in Indian context," Business Strategy and the Environment, Wiley Blackwell, vol. 31(7), pages 2786-2806, November.
    5. Alberto A. López-Toro & Eva María Sánchez-Teba & María Dolores Benítez-Márquez & Mercedes Rodríguez-Fernández, 2021. "Influence of ESGC Indicators on Financial Performance of Listed Pharmaceutical Companies," IJERPH, MDPI, vol. 18(9), pages 1-16, April.
    6. Ying Yan Tan & Rosmini Omar, 2022. "Green Practices and Innovations of Traditional Chinese Medicine (TCM) Industry in Singapore: Idea Worth Sharing," Sustainability, MDPI, vol. 14(18), pages 1-38, September.
    7. Yichang Zhang & Sha He & Min Pang & Qiong Li, 2023. "Green Technology Innovation of Energy Internet Enterprises: Study on Influencing Factors under Dual Carbon Goals," Energies, MDPI, vol. 16(3), pages 1-16, January.
    8. Xiaonan Fan & Sainan Ren & Yang Liu, 2023. "The Driving Factors of Green Technology Innovation Efficiency—A Study Based on the Dynamic QCA Method," Sustainability, MDPI, vol. 15(12), pages 1-25, June.

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