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<p>Chinese universities and research institutions have gathered considerable superior scientific and technological talent, undertaken numerous national research tasks, and accumulated a wealth of scientific and technological achievements. However, the efficiency of technology transfer in Chinese universities is currently low, as there is an imbalance in the development of university technology transfer among different regions. Based on the perspective of regional innovation ecosystems, this study utilizes the fuzzy-set qualitative comparative analysis (fsQCA) method to explore paths to promote university technology transfer under different regional conditions. Analyzing six antecedent variables—technological infrastructure, technological awareness, technology financial resources, technological talent resources, intellectual property rights environment, and market environment—the aim of this study is to explore the relationship between the configuration of regional innovation ecosystems and university technology transfer. The following conclusions were drawn: (1) individual antecedent conditions cannot generate significant university technology transfer, (2) there are two configurations that lead to significant university technology transfer, and (3) the empirical results suggest that the FTK triangle model can optimize resource allocation to promote university technology transfer.</p>

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Which configurations promote the high-level university technology transfer? Evidence from China

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年8月8日

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  • Yangjie Huang,
  • Jiali Zhang,
  • Ying Xu

摘要

Chinese universities and research institutions have gathered considerable superior scientific and technological talent, undertaken numerous national research tasks, and accumulated a wealth of scientific and technological achievements. However, the efficiency of technology transfer in Chinese universities is currently low, as there is an imbalance in the development of university technology transfer among different regions. Based on the perspective of regional innovation ecosystems, this study utilizes the fuzzy-set qualitative comparative analysis (fsQCA) method to explore paths to promote university technology transfer under different regional conditions. Analyzing six antecedent variables—technological infrastructure, technological awareness, technology financial resources, technological talent resources, intellectual property rights environment, and market environment—the aim of this study is to explore the relationship between the configuration of regional innovation ecosystems and university technology transfer. The following conclusions were drawn: (1) individual antecedent conditions cannot generate significant university technology transfer, (2) there are two configurations that lead to significant university technology transfer, and (3) the empirical results suggest that the FTK triangle model can optimize resource allocation to promote university technology transfer.