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科技创新政策工具如何影响创新绩效——基于广州市的fsQCA分析

How STI Policy Tools Affect Innovation Performance A fsQCA Analysis Based on Guangzhou
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摘要 以广州市11个区的数据为样本,基于政策工具理论视角,运用模糊集定性比较分析法,从供给型、需求型、环境型3个维度共选取了5项指标作为条件变量,选取技术合同成交额作为结果变量,对科技创新政策工具对创新绩效的影响进行实证研究。研究发现,广州市存在财政支持与需求驱动型、环境与创新基础设施驱动型、均衡发展型3条导致高创新绩效的政策工具组态,同时,存在整体资源匮乏型、资金输入不足型、财政支持缺位型3条导致非高创新绩效的政策工具组态。据此,结合各组态解释案例,提出优化科技创新政策工具组态的建议,为广州市提升创新绩效提供参考。 Taking the data of 11 districts of Guangzhou as samples based on the theoretical perspective of policy tools this paper selects five indicators as condition variables from three dimensions of supply demand and environment and the amount of technology contract transaction as the result variable to conduct an empirical study on the impact of scientific and technological innovation policy tools on innovation performance by using the qualitative comparative analysis of fuzzy sets.The results show that there are three policy tool configurations in Guangzhou lead to high innovation performance financial support and demand-driven environment and innovation infrastructure driven and balanced development at the same time there are three policy tool configurations lead to non-high innovation performance lack of overall resources insufficient capital input and absence of financial support.Based on this the paper puts forward some suggestions on optimizing the configuration of scientific and technological innovation policy tools to provide reference for improving innovation performance in Guangzhou.
作者 喻帅 曾惠芬 YU Shuai;ZENG Hui-fen(Guangzhou Research Center for Science and Technology Development,Guangzhou 510030,China)
出处 《科技创新发展战略研究》 2023年第6期1-8,共8页 Strategy for Innovation and Development of Science and Technology
关键词 政策工具 创新绩效 广州市 模糊集定性比较分析 policy tools innovation performance Guangzhou fsQCA
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