Study on the heterogeneity of the influence path of high-tech industrial park policies on innovation efficiency

ABSTRACTPolicy promotes the development of high-tech industrial parks (HIP) and the improvement of their innovation efficiency. To conduct an in-depth study of the driving path and differences of HIP policies on innovation efficiency, by making a theoretical analysis on the impact of scientific and technological innovation policies (STI) on innovation efficiency, this paper empirically analyzes the impact of STI on innovation efficiency of high-technology industrial parks. Linear regression and qualitative comparative analysis (QCA) are mainly used. Empirical tests found that policy targets drove innovation efficiency in a relatively minor way. Demand-based policy tools had the most significant influence on that. Supply-based and environment-based policy tools had a notable positive impact during the lag periods of policies.As the results of QCA, in the early stage of the development of HIP, the supply-led environment optimization path and the supply-led comprehensive path are the two forms of policy combination approaches of STI, and supply-based policies have a greater impact. In the later stages, there are four forms of policy mix approaches to STI that affect innovation efficiency, including targets-directed pathway, demand-driven pathway, supply-dominated environment optimization pathway, and environment-dominated comprehensive pathway. Given the above, this paper put forward relevent proposals.KEYWORDS: High-technology industrial parksscientific and technological innovation policiesinnovation efficiencyimpact pathfsQCA Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThis research was funded by Chongqing Social Science Planning Youth Project [grant number 2021NDQN47]; the Fundamental Research Funds for the Central Universities [grant number SWU2109517].Notes on contributorsJinglei WangJinglei Wang (1988-) is from Qingdao, Shandong province, and he is a lecturer and doctor of Business College of Southwest University, with research direction of town planning and regional innovation, wangzw285@swu.edu.cn.Fengchan DingFengchan Ding is from Chongqing province, and she is a postgraduate of Business College in Southwest University in major of Agriculture Management, 2633022853@qq.com.Yixuan ZhaoYixuan Zhao is from Shandong province, and she is a postgraduate of Business College in Southwest University in major of Public Management, 2633022853@qq.com.Mohammad HeydariMohammad Heydari is an associate professor of Management Science and Engineering (MS&E), MohammadHeydari1992@yahoo.com.