全流程视角下科技项目“揭榜挂帅”成效的影响因素研究——基于混合QCA方法的分析

Research on the Influencing Factors of the Effectiveness of"Open Competition Mechanism to Select the Best Candidates"of Science and Technology Projects from the Perspective of the Whole Process:Analysis Based on Hybrid QCA Method

从复杂因果效应分析视角出发,以194份科技项目“揭榜挂帅”成效问卷为样本,混合运用清晰集定性比较分析方法(csQCA)与模糊集定性比较分析方法(fsQCA),考察影响科技项目“揭榜挂帅”成效的影响因素及提升路径。研究发现,单个前因条件并不构成科技项目“揭榜挂帅”产生高成效的必要条件;存在7条驱动“揭榜挂帅”高成效的组态路径,各因素有效结合以殊途同归的方式提升科技项目“揭榜挂帅”成效。

This study uses 194 questionnaires on the effectiveness of"Enlisting and Leading"of science and technology projects from the Beijing-Tianjin-Hebei region,the Yangtze River Delta region,the Pearl River Delta region and other developed manufacturing regions as a sample,and mixes clear-set qualitative comparative analysis(csQCA)and fuzzy-set qualitative comparative analysis(fsQCA)to investigate the factors influencing the effectiveness of science and technology projects and their improvement paths.The QCA methodology is able to identify different causal pathways that lead to the high effectiveness of science and technology programs,which is not available in traditional statistical analysis methods.The study found that:individual antecedent conditions do not constitute the necessary conditions for high effectiveness of"Enlisting and Leading"of science and technology projects;there are 7 configuration paths that drive the high effectiveness of"Enlisting and Leading",of which the project type,the form of the list,and the funding policy are the most important core antecedents for the high effectiveness of science and technology projects.Each factor is effectively combined to improve the effectiveness of"Enlisting and Leading"of science and technology projects in a"different path to the same goal".