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Performance evaluation of China's innovation during the industry-university-research collaboration process—an analysis basis on the dynamic network slacks-based measurement model

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  • Bai, Xue-Jie
  • Li, Zhen-Yang
  • Zeng, Jin

Abstract

This study deploys the Dynamic Network Slacks-based Measurement (DNSBM) model to analyze the dynamic changes of industry-university-research institute's collaboration from static perspectives and deconstructs the “black box”. We present the following findings. 1) The overall innovation efficiency of industry-university-research institute's collaboration in China is 0.6305, and compared to R&D process efficiency, industrialization process efficiency is lower. 2) The links between the R&D process and industrialization process are weak, and the carry-overs between adjacent terms are insufficient, thus forming a low transformation rate of scientific and technological achievements. 3) Total factor productivity shows that universities mainly depend on technical efficiency improvement, while R&D institutions and industries hinge on technology progress.

Suggested Citation

  • Bai, Xue-Jie & Li, Zhen-Yang & Zeng, Jin, 2020. "Performance evaluation of China's innovation during the industry-university-research collaboration process—an analysis basis on the dynamic network slacks-based measurement model," Technology in Society, Elsevier, vol. 62(C).
    • Handle: RePEc:eee:teinso:v:62:y:2020:i:c:s0160791x19305731
    DOI: 10.1016/j.techsoc.2020.101310
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    2. Song, Yiru & Yu, Chunjiao & Hao, Lulu & Chen, Xi, 2021. "Path for China's high-tech industry to participate in the reconstruction of global value chains," Technology in Society, Elsevier, vol. 65(C).
    3. Liu, Ming & Shan, Yanfei & Li, Yemei, 2023. "Heterogeneous Partners, R&D cooperation and corporate innovation capability: Evidence from Chinese manufacturing firms," Technology in Society, Elsevier, vol. 72(C).
    4. Xiaojie Yao & Yuan Hu & Huaping Gong & Dongyou Chen, 2021. "Characteristics and Evolution of China’s Industry–University–Research Collaboration to Promote the Sustainable Development: Based on Policy Text Analysis," Sustainability, MDPI, vol. 13(23), pages 1-18, November.
    5. Cui, Weijun & Li, Lu & Chen, Guang, 2022. "Market-value oriented or technology-value oriented? ——Location impacts of industry-university-research (IUR) cooperation bases on innovation performance," Technology in Society, Elsevier, vol. 70(C).
    6. Mengzhi Xu & Jixia Li & Zeyu Ping & Qianming Zhang & Tengfei Liu & Can Zhang & Huachun Wang, 2022. "Can Local Government’s Attention Allocated to Green Innovation Improve the Green Innovation Efficiency?—Evidence from China," Sustainability, MDPI, vol. 14(19), pages 1-18, September.
    7. Fengting Zhang & Yang Lv & Md Nazirul Islam Sarker, 2022. "Spatio-Temporal Evolution and Development Path of Industry–University–Research Cooperation and Economic Vulnerability: Evidence from China’s Yangtze River Economic Belt," Sustainability, MDPI, vol. 14(19), pages 1-19, October.
    8. Ma, Ding & Cai, Zhishan & Zhu, Chengkai, 2022. "Technology transfer efficiency of universities in China: A three-stage framework based on the dynamic network slacks-based measurement model," Technology in Society, Elsevier, vol. 70(C).

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    More about this item

    Keywords

    Industry-university-research Institute's collaboration; Efficiency; Dynamic network SBM;
    All these keywords.

    JEL classification:

    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence

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