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<p>Technology transfer (TT) is a bridge connecting technological innovation (TI) and real productivity, and it is also the key to fostering new industrial momentum and creating new quality productivity. Although the existing literature recognizes some constituents of TT ecosystems, there is a lack of an integrative research framework. To address this gap, this paper builds a multi-agent embedded TT ecosystem theoretical model based on a supply–demand matching perspective and the innovative energy flow theory. Further, the paper designs an efficiency evaluation index system for TT ecosystems, uses a super-efficiency network SBM model to depict the internal structure of ecosystems, and makes an empirical analysis on 31 provinces in China. The results show that: (1) In TT ecosystems, the unbalanced development between TI subsystem and TT subsystem hinders the improvement of total system efficiency, and the provinces with DEA inefficiency account for more than 50%. Their common feature is the lack of efficiency of TT subsystem, which results in total system inefficiency; (2) The efficiency of TT ecosystems in China shows obvious regional heterogeneity, forming a descending spatial distribution pattern from east to northeast, center and west; (3) TI subsystem efficiency &gt; total system efficiency &gt; TT subsystem efficiency, which confirms that improving TT efficiency is the key to improving the performance of ecosystems. The research results further enrich the theory of TT ecosystems, and provide a reference for promoting the supply–demand matching between TI and TT.</p>

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Evaluation of operational efficiency of technology transfer ecosystems from the perspective of supply and demand matching: an empirical study in China

  • 期刊论文

  • 发表日期：

    2025年2月13日

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  • Tong Xiao,
  • Haijun Wang,
  • Jin Chen

摘要

Technology transfer (TT) is a bridge connecting technological innovation (TI) and real productivity, and it is also the key to fostering new industrial momentum and creating new quality productivity. Although the existing literature recognizes some constituents of TT ecosystems, there is a lack of an integrative research framework. To address this gap, this paper builds a multi-agent embedded TT ecosystem theoretical model based on a supply–demand matching perspective and the innovative energy flow theory. Further, the paper designs an efficiency evaluation index system for TT ecosystems, uses a super-efficiency network SBM model to depict the internal structure of ecosystems, and makes an empirical analysis on 31 provinces in China. The results show that: (1) In TT ecosystems, the unbalanced development between TI subsystem and TT subsystem hinders the improvement of total system efficiency, and the provinces with DEA inefficiency account for more than 50%. Their common feature is the lack of efficiency of TT subsystem, which results in total system inefficiency; (2) The efficiency of TT ecosystems in China shows obvious regional heterogeneity, forming a descending spatial distribution pattern from east to northeast, center and west; (3) TI subsystem efficiency > total system efficiency > TT subsystem efficiency, which confirms that improving TT efficiency is the key to improving the performance of ecosystems. The research results further enrich the theory of TT ecosystems, and provide a reference for promoting the supply–demand matching between TI and TT.