Performance evaluation of China's innovation during the industry-university-research collaboration process—an analysis basis on the dynamic network slacks-based measurement model
Xue-Jie Bai,
Zhen-Yang Li and
Jin Zeng
Technology in Society, 2020, vol. 62, issue C
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.
Keywords: Industry-university-research Institute's collaboration; Efficiency; Dynamic network SBM (search for similar items in EconPapers)
JEL-codes: O30 O47 (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (11)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:teinso:v:62:y:2020:i:c:s0160791x19305731
DOI: 10.1016/j.techsoc.2020.101310
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