IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v17y2025i11p4929-d1665853.html
   My bibliography  Save this article

Intelligent Manufacturing and Green Innovation Efficiency: Perspective on the Agglomeration Effect

Author

Listed:
  • Hong Ji

    (School of Economics and Management, Jiangxi Normal University, Nanchang 330022, China)

  • Xin Zeng

    (School of Economics and Management, Jiangxi Normal University, Nanchang 330022, China)

  • Fengxiu Zhou

    (School of Economics and Management, Jiangxi Normal University, Nanchang 330022, China)

Abstract

In the context of Industry 4.0, the transformative integration of intelligent digitalization, sustainable practices, and cross-sectoral industrial convergence within manufacturing systems constitutes a strategic imperative for addressing global climate emergencies and accelerating resource scarcity. Using panel data from 279 prefecture-level cities and the multiperiod difference-in-differences (DID) approach, this study investigates the impact of intelligent manufacturing on urban green innovation efficiency and its heterogeneous effects. The results reveal that intelligent manufacturing significantly enhances urban green innovation efficiency through scale agglomeration, economic agglomeration, and talent agglomeration, with robustness confirmed by propensity score matching DID tests and double machine learning. In addition, financial development has a nonlinear moderating effect on this relationship. When financial development surpasses the critical threshold of 3.817, its positive moderating effect becomes significantly enhanced. Heterogeneity analyses demonstrate that the benefits of intelligent manufacturing are more pronounced in the middle and western regions, noncentral cities, and cities with advanced industrial intelligence, robust digital finance ecosystems, or stringent environmental regulations. These findings provide novel insights into the dynamic mechanisms through which intelligent manufacturing fosters green innovation, offering policymakers in developing economies a framework to tailor regional strategies, optimize governance systems, and harness intelligent manufacturing as a catalyst for sustainable, innovation-driven growth.

Suggested Citation

  • Hong Ji & Xin Zeng & Fengxiu Zhou, 2025. "Intelligent Manufacturing and Green Innovation Efficiency: Perspective on the Agglomeration Effect," Sustainability, MDPI, vol. 17(11), pages 1-27, May.
  • Handle: RePEc:gam:jsusta:v:17:y:2025:i:11:p:4929-:d:1665853
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/17/11/4929/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/17/11/4929/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Wang, Linjing & Zhao, Chunyan & Gan, Yufei & Ni, Xiaoxiao, 2025. "Financial flexibility, organizational resilience and corporate green innovation," Finance Research Letters, Elsevier, vol. 76(C).
    2. Zhang, Xingyue & Jiang, Fangxin & Liu, Haizhou & Liu, Ruizhi, 2023. "Green finance, managerial myopia and corporate green innovation: Evidence from Chinese manufacturing listed companies," Finance Research Letters, Elsevier, vol. 58(PB).
    3. Yang, Daoxiang & Jiao, Xuyang & Liao, Wenjiu, 2025. "Audit risk and green innovation in SMEs," Finance Research Letters, Elsevier, vol. 76(C).
    4. Chang, Kaiwen & Luo, Dan & Xing, Kai & Mi, Biao, 2025. "The effectiveness of the green bond instrument on stimulating firms' green innovation performance: A comparative study based on Chinese market," Pacific-Basin Finance Journal, Elsevier, vol. 91(C).
    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. Dou, Weijian & Zhang, Han & Miao, Bowen & Wang, Bin, 2025. "How do analyst attention and green credit promote corporate green innovation?," International Review of Economics & Finance, Elsevier, vol. 99(C).
    2. Zhang, Xiaoyue & Sun, Weizheng, 2025. "The role of interlocking directorates and managerial characteristics on corporate green innovation," Finance Research Letters, Elsevier, vol. 74(C).
    3. Zhang, Xiu-e & Li, Na, 2024. "Management myopia and corporate innovation in China: Focus on the moderating role of equity incentives," International Review of Financial Analysis, Elsevier, vol. 96(PB).
    4. Fan, Xiaoyun & Shen, Xinyan & Wang, Daoping & Zhou, Cier, 2025. "The Paris Agreement and firms’ carbon information disclosure: Honesty or catering?," International Review of Economics & Finance, Elsevier, vol. 99(C).
    5. Liao, Zhaoguang & Xiao, Luan, 2025. "Government environmental regulation, media attention, and corporate green innovation," International Review of Economics & Finance, Elsevier, vol. 97(C).
    6. Yang Zhang & Yaling Deng & Ourong Yang & De Xia & Haiyun Liu, 2024. "Substantive or symbolic ? The strategic choice of sustainable environmental strategy for enterprises induced by the new environmental protection law," Sustainable Development, John Wiley & Sons, Ltd., vol. 32(6), pages 7461-7481, December.
    7. Jinghe Zhang & Caiquan Bai & Lei Zhou & Shanggang Yin, 2025. "Low-carbon transformation of China’s cities: evaluation and spatiotemporal pattern evolution," Palgrave Communications, Palgrave Macmillan, vol. 12(1), pages 1-19, December.
    8. Wang, Lili & Liang, Jian & Wang, Beibei, 2024. "Population aging and sustainable economic development: An analysis based on the role of green finance," Finance Research Letters, Elsevier, vol. 70(C).
    9. Dong, Zhenlin & Xin, Zijun & Liu, Dewen & Yu, Fangkun, 2024. "The impact of artificial intelligence application on company environmental investment in Chinese manufacturing companies," International Review of Financial Analysis, Elsevier, vol. 95(PB).
    10. Che, Shuai & Tao, Miaomiao & Silva, Emilson & Sheng, Mingyue Selena & Zhao, Congyu & Wang, Jun, 2024. "Financial misallocation and green innovation efficiency: China's firm-level evidence," Energy Economics, Elsevier, vol. 136(C).
    11. Xiaolong Wang & Di Wang & Yanmin Zhao, 2024. "Managerial Time Orientation, Corporate Resource Allocation, and Firm Resilience," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(4), pages 19989-20018, December.
    12. Sun, Guanglin & Fang, Jiming & Li, Jinning & Wang, Xiaolin, 2024. "Research on the impact of the integration of digital economy and real economy on enterprise green innovation," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
    13. Zhang, Qiufeng & Huang, Huan & Chen, Liang & Wang, Yushi, 2025. "How does green finance affect carbon emission intensity? The role of green technology innovation and internet development," International Review of Economics & Finance, Elsevier, vol. 99(C).

    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:17:y:2025:i:11:p:4929-:d:1665853. 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.