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Research on Impact of Design Innovation Factors on Pure Technical Efficiency of Manufacturing Innovation

Author

Listed:
  • Bing Xu

    (School of Design and Architecture, Zhejiang University of Technology, Hangzhou 310023, China)

  • Siyuan Kong

    (School of Design and Architecture, Zhejiang University of Technology, Hangzhou 310023, China)

  • Zhiyue Ying

    (School of Design and Architecture, Zhejiang University of Technology, Hangzhou 310023, China)

  • Jiayang Chen

    (School of Design and Architecture, Zhejiang University of Technology, Hangzhou 310023, China)

  • Shihao Zhang

    (School of Design and Architecture, Zhejiang University of Technology, Hangzhou 310023, China)

  • Yuting Yan

    (School of Design and Architecture, Zhejiang University of Technology, Hangzhou 310023, China)

  • Jun Xu

    (School of Design and Architecture, Zhejiang University of Technology, Hangzhou 310023, China)

Abstract

Context: Improving the pure technical efficiency in manufacturing innovation is crucial to achieving sustainable development in the manufacturing industry. Objective: We aimed to explore the impact of design innovation factors on the pure technical efficiency of manufacturing innovation from 2011 to 2021, with industrial enterprises above the designated size in Zhejiang Province, China, taken as the research object. Method: The super-efficiency DEA model was used to calculate the pure technical efficiency of manufacturing innovation. Literature research, combined with the Pearson correlation coefficient, was employed to obtain five design innovation factors, including the number of policy regulations, growth rate of designers, number of design enterprises, number of patents granted, and number of design awards at the provincial level or above. Results: Based on the Tobit model, the influence of design innovation factors on the pure technical efficiency in manufacturing innovation was analyzed and demonstrated. Except for the number of policy regulations and growth rate of designers, the other three factors had a significant positive impact on the pure technical efficiency of manufacturing innovation. In general, design innovation exerts positive effects on the growth of pure technical efficiency. Conclusions: The results of this study provide helpful insights into the promotion of sustainable development in the manufacturing industry through design innovation.

Suggested Citation

  • Bing Xu & Siyuan Kong & Zhiyue Ying & Jiayang Chen & Shihao Zhang & Yuting Yan & Jun Xu, 2024. "Research on Impact of Design Innovation Factors on Pure Technical Efficiency of Manufacturing Innovation," Sustainability, MDPI, vol. 16(16), pages 1-24, August.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:16:p:7230-:d:1461857
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    References listed on IDEAS

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    3. Greene, William H, 1981. "On the Asymptotic Bias of the Ordinary Least Squares Estimator of the Tobit Model," Econometrica, Econometric Society, vol. 49(2), pages 505-513, March.
    4. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
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    Cited by:

    1. Jiayang Chen & Bing Xu & Shihao Zhang & Wuzhenhang Chen & Xingxia Wu & Zhiyue Ying, 2025. "Study on Influencing Factors of Industrial Design Agglomeration on Manufacturing Innovation Performance," Sustainability, MDPI, vol. 17(18), pages 1-37, September.

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