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Smarter and Greener: How Does Intelligent Manufacturing Empower Enterprises’ Green Innovation?

Author

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  • Shuying Chen

    (School of Economics and Management, Yiwu Industrial & Commercial College, Yiwu 322000, China)

  • Da Gao

    (School of Law and Business, Wuhan Institute of Technology, Wuhan 430205, China)

  • Linfang Tan

    (School of Economics and Management, Wuhan University, Wuhan 430072, China)

Abstract

Intelligent manufacturing is the inevitable path for China to achieve its strategy of becoming a manufacturing power. Exploring how intelligent manufacturing policies can promote green innovation, which refers to promoting innovative technologies aimed at improving resource utilization efficiency, is of great significance for promoting the green transformation of enterprises. Based on the data of A-share listed enterprises from 2010 to 2023, this study regards the intelligent manufacturing demonstration project pilot as a quasi-natural experiment and explores its policy spillover effects and mechanism. The research findings indicate that the intelligent manufacturing policy can greatly improve firms’ green innovation, and non-state-owned and non-high-pollution enterprises are more sensitive to intelligent manufacturing policies. It has a significant spatial spillover effect in both the district and industry dimensions. In addition, the mechanism analysis indicates that alleviating enterprises’ financing constraints and environmental uncertainty are important ways to promote enterprises’ green innovation. This study empirically designs to fill the theoretical gap in the association between intelligent manufacturing policies and green innovation in the body of knowledge, and innovatively verifies the spatial spillover effect of intelligent manufacturing policies from both the district and industry dimensions. At the practical level, its conclusion provides an operational decision-making toolbox for multiple entities such as the government, enterprises, and financial institutions to jointly promote green transformation.

Suggested Citation

  • Shuying Chen & Da Gao & Linfang Tan, 2025. "Smarter and Greener: How Does Intelligent Manufacturing Empower Enterprises’ Green Innovation?," Sustainability, MDPI, vol. 17(16), pages 1-22, August.
  • Handle: RePEc:gam:jsusta:v:17:y:2025:i:16:p:7230-:d:1721483
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    1. Liu, Yang & Zuo, Yuxiao, 2025. "Implementing intelligent manufacturing policies to increase the total factor productivity in manufacturing: Transmission mechanisms through construction of industrial chains," International Journal of Production Economics, Elsevier, vol. 279(C).
    2. Li, Xiaofan & Wang, Qiaochu & Kong, Dongmin & Tao, Yunqing, 2025. "Intelligent manufacturing and corporate human capital upgrade in China," Journal of Asian Economics, Elsevier, vol. 97(C).
    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. Jeff L. McMullin & Brian P. Miller & Brady J. Twedt, 2019. "Increased mandated disclosure frequency and price formation: evidence from the 8-K expansion regulation," Review of Accounting Studies, Springer, vol. 24(1), pages 1-33, March.
    5. Xu, Chongchong & Lin, Boqiang, 2025. "The AI-sustainability Nexus: How does intelligent transformation affect corporate green innovation?," International Review of Financial Analysis, Elsevier, vol. 102(C).
    6. Wang, Liangcheng & Chen, Yizheng, 2025. "Artificial intelligence and corporate investment efficiency: Evidence from China," Emerging Markets Review, Elsevier, vol. 68(C).
    7. Chang, Lei & Taghizadeh-Hesary, Farhad & Mohsin, Muhammad, 2023. "Role of artificial intelligence on green economic development: Joint determinates of natural resources and green total factor productivity," Resources Policy, Elsevier, vol. 82(C).
    8. Tao Chen & Shuwen Pi & Qing Sophie Wang, 2025. "Artificial Intelligence and Corporate Investment Efficiency: Evidence from Chinese Listed Companies," Working Papers in Economics 25/05, University of Canterbury, Department of Economics and Finance.
    9. Sorrell, Steve & Dimitropoulos, John, 2008. "The rebound effect: Microeconomic definitions, limitations and extensions," Ecological Economics, Elsevier, vol. 65(3), pages 636-649, April.
    10. Liu, Jun & Chang, Huihong & Forrest, Jeffrey Yi-Lin & Yang, Baohua, 2020. "Influence of artificial intelligence on technological innovation: Evidence from the panel data of china's manufacturing sectors," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
    11. Dian, Jie & Song, Tian & Li, Shenglan, 2024. "Facilitating or inhibiting? Spatial effects of the digital economy affecting urban green technology innovation," Energy Economics, Elsevier, vol. 129(C).
    12. Chen, Fuyong & Zeng, Xiao & Guo, Xiang, 2024. "Green finance, climate change, and green innovation: Evidence from China," Finance Research Letters, Elsevier, vol. 63(C).
    13. Liyun Liu & Huaibo Dong & Lei Qi, 2025. "How Directors with Green Backgrounds Drive Corporate Green Innovation: Evidence from China," Sustainability, MDPI, vol. 17(15), pages 1-36, July.
    14. Donald D. Bergh & Michael W. Lawless, 1998. "Portfolio Restructuring and Limits to Hierarchical Governance: The Effects of Environmental Uncertainty and Diversification Strategy," Organization Science, INFORMS, vol. 9(1), pages 87-102, February.
    15. Huang, Hongyun & Wang, Fengrong & Song, Malin & Balezentis, Tomas & Streimikiene, Dalia, 2021. "Green innovations for sustainable development of China: Analysis based on the nested spatial panel models," Technology in Society, Elsevier, vol. 65(C).
    16. Li, Chengming & Xu, Yang & Zheng, Hao & Wang, Zeyu & Han, Haiting & Zeng, Liangen, 2023. "Artificial intelligence, resource reallocation, and corporate innovation efficiency: Evidence from China's listed companies," Resources Policy, Elsevier, vol. 81(C).
    17. Choi, Hyeseung & Lee, Min-Jae & Roh, Taewoo, 2024. "Is institutional pressure the driver for green business model innovation of SMEs? Mediating and moderating roles of regional innovation intermediaries," Technological Forecasting and Social Change, Elsevier, vol. 209(C).
    18. Mingxia Liu & Liqian Liu & Amei Feng, 2024. "The Impact of Green Innovation on Corporate Performance: An Analysis Based on Substantive and Strategic Green Innovations," Sustainability, MDPI, vol. 16(6), pages 1-19, March.
    19. Yun Hu & Zhuohang Li & Jiajia Guo, 2024. "Does Independent Directors’ Interlocking Network Position Affect Green Innovation?," Sustainability, MDPI, vol. 16(3), pages 1-20, January.
    20. Zhao, Jinjing & Li, Ai & Roh, Taewoo & Su, Miao, 2025. "Escaping regulation or embracing innovation? Substantive green Innovation's role in moderating environmental policy and outward foreign direct investment," Energy, Elsevier, vol. 316(C).
    21. Da Gao & Linfang Tan & Yue Chen, 2025. "Smarter is greener: can intelligent manufacturing improve enterprises’ ESG performance?," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-12, December.
    22. Wang, Linhui & Chen, Qi & Dong, Zhiqing & Cheng, Lu, 2024. "The role of industrial intelligence in peaking carbon emissions in China," Technological Forecasting and Social Change, Elsevier, vol. 199(C).
    23. Tong Zhao & Haihua Zhou & Jinde Jiang & Wenyan Yan, 2022. "Impact of Green Finance and Environmental Regulations on the Green Innovation Efficiency in China," Sustainability, MDPI, vol. 14(6), pages 1-17, March.
    24. Lee, Min-Jae & Kim, Yanghee & Roh, Taewoo, 2024. "Exploring the role of digital servitization for green innovation: Absorptive capacity, transformative capacity, and environmental strategy," Technological Forecasting and Social Change, Elsevier, vol. 207(C).
    25. Yuan, Baolong & Cao, Xueyun, 2022. "Do corporate social responsibility practices contribute to green innovation? The mediating role of green dynamic capability," Technology in Society, Elsevier, vol. 68(C).
    26. Wei, Xiahai & Jiang, Feng & Chen, Yu & Hua, Wenhui, 2024. "Towards green development: The role of intelligent manufacturing in promoting corporate environmental performance," Energy Economics, Elsevier, vol. 131(C).
    27. Galbraith, John Kenneth, 1973. "Power and the Useful Economist," American Economic Review, American Economic Association, vol. 63(1), pages 1-11, March.
    28. Jin, Minghui & Chen, Yang, 2024. "Has green innovation been improved by intelligent manufacturing?—Evidence from listed Chinese manufacturing enterprises," Technological Forecasting and Social Change, Elsevier, vol. 205(C).
    29. Linfang Tan & Da Gao & Xiaowei Liu, 2024. "Can Environmental Information Disclosure Improve Energy Efficiency in Manufacturing? Evidence from Chinese Enterprises," Energies, MDPI, vol. 17(10), pages 1-15, May.
    30. Da Gao & Linfang Tan & Yue Chen, 2025. "Unlocking Carbon Reduction Potential of Digital Trade: Evidence from China’s Comprehensive Cross-border E-Commerce Pilot Zones," SAGE Open, , vol. 15(1), pages 21582440251, February.
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