IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i20p13031-d939650.html
   My bibliography  Save this article

Driving Path and System Simulation of Green Innovation Capability of Science and Technology Enterprises in Yangtze River Delta

Author

Listed:
  • Yanna Zhu

    (College of Economy and Management, Anhui University of Science and Technology, Huainan 232001, China)

  • Gang He

    (College of Economy and Management, Anhui University of Science and Technology, Huainan 232001, China)

  • Keyu Bao

    (College of Economy and Management, Anhui University of Science and Technology, Huainan 232001, China)

Abstract

Green innovation integrates innovation-driven and green development strategies, which helps to realize the green transformation of production and life in the Yangtze River Delta region, and promote high-quality economic development. Based on the multidisciplinary cross attribute of system dynamics (SD), the boundary and influencing factors of the green innovation system are defined, and the system dynamics model of green innovation ability of science and technology enterprises is constructed. With the help of statistical data from 2010 to 2020, the model is simulated to explore the change trend and law of elements. The results show that: (1) The green innovation ability of science and technology enterprises is composed of three stages, knowledge innovation, technological innovation, and innovation application, which are interconnected and progressive. The change trend of each variable is conducive to the improvement of green innovation competitiveness, and the green innovation benefits are significant. (2) Green innovation is driven by multidimensional factors such as R&D investment, technological innovation investment, knowledge innovation ability, and the conversion rate of scientific research achievements. The improvement of the conversion rate of scientific research achievements has the greatest impact on the enterprise’s green innovation ability, and the change trend is more obvious. (3) Positive and negative two-direction sub-mode regulation of R&D investment, technological innovation investment, and scientific research achievement conversion coefficient will affect the speed of green innovation accumulation of enterprises, and this increment is marginally increasing with the increase of the coefficient in the short term. Finally, some suggestions are put forward to promote the green innovation ability of science and technology enterprises in the Yangtze River Delta.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:20:p:13031-:d:939650
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/20/13031/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/20/13031/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Tomi Tura & Vesa Harmaakorpi, 2005. "Social capital in building regional innovative capability," Regional Studies, Taylor & Francis Journals, vol. 39(8), pages 1111-1125.
    2. 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.
    3. Sanjay Kumar Singh & Manlio Del Giudice & Charbel Jose Chiappetta Jabbour & Hengky Latan & Amrik Singh Sohal, 2022. "Stakeholder pressure, green innovation, and performance in small and medium‐sized enterprises: The role of green dynamic capabilities," Business Strategy and the Environment, Wiley Blackwell, vol. 31(1), pages 500-514, January.
    4. Duan Xin & Zhang Zhi Sheng & Sun Jiahui & Wei Zhang, 2022. "How Technological Innovation Influences Environmental Pollution: Evidence from China," Complexity, Hindawi, vol. 2022, pages 1-9, March.
    5. Yu, Chin-Hsien & Wu, Xiuqin & Zhang, Dayong & Chen, Shi & Zhao, Jinsong, 2021. "Demand for green finance: Resolving financing constraints on green innovation in China," Energy Policy, Elsevier, vol. 153(C).
    6. Shi-Zheng Huang & Ka Yin Chau & Fengsheng Chien & Huawen Shen, 2020. "The Impact of Startups’ Dual Learning on Their Green Innovation Capability: The Effects of Business Executives’ Environmental Awareness and Environmental Regulations," Sustainability, MDPI, vol. 12(16), pages 1-17, August.
    7. Hongyu Liu & Shukuan Zhao & Ouyang Xin, 2019. "Analysis on the Evolution Path and Hotspot of Knowledge Innovation Study Based on Knowledge Map," Sustainability, MDPI, vol. 11(19), pages 1-14, October.
    8. Park, Walter G., 1998. "A theoretical model of government research and growth," Journal of Economic Behavior & Organization, Elsevier, vol. 34(1), pages 69-85, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Lei Li & Xiaoyu Ma & Shaojun Ma & Feng Gao, 2024. "Role of green finance in regional heterogeneous green innovation: Evidence from China," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 11(1), pages 1-13, December.
    2. Chen, Yuhuilin & Yuan, Ruizhi & Guo, Xinran & Ni, Tao, 2024. "Do foreign acquisitions improve target firms’ green innovation performance?," International Review of Economics & Finance, Elsevier, vol. 95(C).
    3. Chotia, Varun & Cheng, Yue & Agarwal, Reeti & Vishnoi, Sushant Kumar, 2024. "AI-enabled Green Business Strategy: Path to carbon neutrality via environmental performance and green process innovation," Technological Forecasting and Social Change, Elsevier, vol. 202(C).
    4. Xiaoli Hao & Qingyu Sun & Ke Li & Yan Xue & Haitao Wu, 2025. "Can CSR effectively promote corporate green innovation efficiency?," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 27(7), pages 17525-17555, July.
    5. Zhao, Qiuhan & Fan, Liangxian & Chen, Honglin & Yang, Yixing & Wang, Zifu, 2025. "Green innovation and carbon emission reduction: Empirical insights from spatial durbin and dynamic threshold models," International Review of Financial Analysis, Elsevier, vol. 101(C).
    6. Danni Yu & Shen Tao & Abdul Hanan & Tze San Ong & Badar Latif & Mohsin Ali, 2022. "Fostering Green Innovation Adoption through Green Dynamic Capability: The Moderating Role of Environmental Dynamism and Big Data Analytic Capability," IJERPH, MDPI, vol. 19(16), pages 1-20, August.
    7. Gersbach, Hans & Schneider, Maik & Schneller, Olivier, 2010. "Optimal Mix of Applied and Basic Research, Distance to Frontier, and Openness," CEPR Discussion Papers 7795, C.E.P.R. Discussion Papers.
    8. Arru Brunella & Delrio Federico & Furesi Roberto & Pulina Pietro & Fabio Albino Madau, 2025. "Role of environmental, social and governance disclosure in business profitability and cost of debt: An analysis of small Southern Italian agri‐food businesses," Agribusiness, John Wiley & Sons, Ltd., vol. 41(3), pages 856-895, July.
    9. Tan, Xiujie & Yan, Yaxue & Dong, Yuyang, 2022. "Peer effect in green credit induced green innovation: An empirical study from China's Green Credit Guidelines," Resources Policy, Elsevier, vol. 76(C).
    10. Sujeeth Ungratwar & Dipasha Sharma & Satish Kumar, 2025. "Mapping the digital banking landscape: a multi-dimensional exploration of fintech, digital payments, and e-wallets, with insights into current scenarios and future research," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-22, December.
    11. Yongjian Wang & Fei Wang & Wenbo Li, 2023. "Effects of the Carbon Credit Policy on the Capital-Constrained Manufacturer’s Remanufacturing and Emissions Decisions," IJERPH, MDPI, vol. 20(5), pages 1-17, February.
    12. Xueyang Wang & Xiumei Sun & Haotian Zhang & Chaokai Xue, 2022. "Digital Economy Development and Urban Green Innovation CA-Pability: Based on Panel Data of 274 Prefecture-Level Cities in China," Sustainability, MDPI, vol. 14(5), pages 1-21, March.
    13. Wang, Yafei & Shi, Ming & Zhao, Zihan & Liu, Junnan & Zhang, Shiqiu, 2025. "How does green finance improve the total factor energy efficiency? Capturing the mediating role of green management innovation and embodied technological progress," Energy Economics, Elsevier, vol. 142(C).
    14. Ronaldo, Reza & Suryanto, Tulus, 2022. "Green finance and sustainability development goals in Indonesian Fund Village," Resources Policy, Elsevier, vol. 78(C).
    15. Kalaivani Jayaraman & Sreenivasan Jayashree & Magiswary Dorasamy, 2023. "The Effects of Green Innovations in Organizations: Influence of Stakeholders," Sustainability, MDPI, vol. 15(2), pages 1-13, January.
    16. Li Chen & Fujia Li & Haonan Zhang & Hao Cheng, 2025. "Can Green Finance Policy Achieve Collaborative Governance of Air Pollution? Evidence from Prefecture-Level Cities in China," Sustainability, MDPI, vol. 17(16), pages 1-20, August.
    17. Piotr Zientara, 2008. "Polish Regions in the Age of a Knowledge‐based Economy," International Journal of Urban and Regional Research, Wiley Blackwell, vol. 32(1), pages 60-85, March.
    18. Zhongju Liao & Yuhan Wu, 2025. "Formal institutions, informal institutions, and firms' environmental innovation: An application of the fuzzy set qualitative comparative analysis method," Sustainable Development, John Wiley & Sons, Ltd., vol. 33(1), pages 668-680, February.
    19. Lee, Chien-Chiang & Wang, Fuhao & Lou, Runchi & Wang, Keying, 2023. "How does green finance drive the decarbonization of the economy? Empirical evidence from China," Renewable Energy, Elsevier, vol. 204(C), pages 671-684.
    20. Ping Lin & Dixin Cai & Qingfeng Geng & Junbing Xu, 2025. "From Green to Gold: the cash management impact of China’s new diversified green finance policy," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-14, December.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:14:y:2022:i:20:p:13031-:d:939650. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.