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Identifying the implementation effect of technology transfer policy using system dynamics: a case study in Liaoning, China

Zhenxu Guo (), Jiarui Shen () and Lihong Li ()
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Zhenxu Guo: Central South University
Jiarui Shen: Shenyang Jianzhu University
Lihong Li: Shenyang Jianzhu University

The Journal of Technology Transfer, 2024, vol. 49, issue 2, No 10, 660-688

Abstract: Abstract Given that technology transfer provides an important boost for promoting national economic development, technology transfer policy (TTP) has attracted more and more attention from academia and industry. The government issued many policies. However, the implementation effect of TTP still needs to be clarified. This study is carried out from the progressive level of “text content-influence path-implementation effect.’’ It aims to adopt a systematic analysis method to analyze policy tools and policy implementation stages, then builds a conceptual framework of the influence path of TTP. Then the relationship between variables in the qualitative model was clarified, and the system dynamics (SD) model was used to build a quantitative model with four feedback loops. Finally, taking Liaoning, China as an example, the system simulation and sensitivity analysis of the main parameters are implemented in Vensim PLE. Different policy tools have different roles in the TTP impact stages of research, transfer, and industrialization. Based on the data of 2013–1019, the SD model constructed in this paper can be used to predict the implementation effect of TTP during 2020–2015. Simulation and sensitivity analysis results provide practical enlightenment for government departments to improve the implementation effect of the existing TTP. This study also provides other researchers with a systematic understanding for improving the implementation effect of TTP with a "text content-influence path-implementation effect" conduction chain and provides new insights for further research on TTP.

Keywords: Technology transfer policy; Implementation effect; System dynamics; Policy simulation; Sensitivity analysis (search for similar items in EconPapers)
JEL-codes: L24 L26 L38 O31 O32 O38 (search for similar items in EconPapers)
Date: 2024
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Citations: View citations in EconPapers (1)

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DOI: 10.1007/s10961-022-09989-z

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The Journal of Technology Transfer is currently edited by Albert N. Link, Donald S. Siegel, Barry Bozeman and Simon Mosey

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