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The effect of manufacturing intelligence on green innovation performance in China

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  • Yang, Haochang
  • Li, Lianshui
  • Liu, Yaobin

Abstract

Accelerating the intelligent transformation of manufacturing industry is an important strategic choice to realize the green innovation transformation. Based on the perspectives of static efficiency and dynamic productivity, this paper analyzes the effect of manufacturing intelligence on green innovation performance and its internal mechanism from theoretical and empirical levels by using the dynamic spatial lag model (DSAR), mediating effect model and moderating effect model. The results show that: In the whole country, manufacturing intelligence has a significant promotion effect on green innovation performance; The reason why manufacturing intelligence can promote the improvement of green innovation performance is that manufacturing intelligence is conducive to the production of "technology promotion effect" and "cost reduction effect", so as to promote green technology innovation, then effectively increase the desirable outputs and significantly decrease the undesirable outputs; The effect of manufacturing intelligence on green innovation performance has obvious regional heterogeneity: the improvement effect of manufacturing intelligence on green innovation performance in the eastern region is significantly higher than that in the central and western regions. In addition, further analysis shows that green technological progress rather than green technical efficiency is the main driving force for manufacturing intelligence to improve the dynamic green innovation performance.

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  • Yang, Haochang & Li, Lianshui & Liu, Yaobin, 2022. "The effect of manufacturing intelligence on green innovation performance in China," Technological Forecasting and Social Change, Elsevier, vol. 178(C).
    • Handle: RePEc:eee:tefoso:v:178:y:2022:i:c:s0040162522001019
    DOI: 10.1016/j.techfore.2022.121569
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    18. Wang, Qian & Ren, Shuming, 2022. "Evaluation of green technology innovation efficiency in a regional context: A dynamic network slacks-based measuring approach," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    19. Kun Liang & Peng Wu & Rui Zhang, 2024. "Research on the Evaluation of Regional Scientific and Technological Innovation Capabilities Driven by Big Data," Sustainability, MDPI, vol. 16(4), pages 1-22, February.
    20. Ying She & Yangu Deng & Meiling Chen, 2023. "From Takeoff to Touchdown: A Decade’s Review of Carbon Emissions from Civil Aviation in China’s Expanding Megacities," Sustainability, MDPI, vol. 15(24), pages 1-24, December.
    21. Li, Lei & Ma, Shaojun & Zheng, Yilin & Ma, Xiaoyu & Duan, Kaifeng, 2022. "Do regional integration policies matter? Evidence from a quasi-natural experiment on heterogeneous green innovation," Energy Economics, Elsevier, vol. 116(C).
    22. Tao Feng, 2023. "Do Intelligent Manufacturing Concerns Promote Corporate Sustainability? Based on the Perspective of Green Innovation," Sustainability, MDPI, vol. 15(14), pages 1-21, July.
    23. Lipeng Sun & Nur Ashikin Mohd Saat, 2023. "How Does Intelligent Manufacturing Affect the ESG Performance of Manufacturing Firms? Evidence from China," Sustainability, MDPI, vol. 15(4), pages 1-20, February.

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