以中国内地30个省、自治区和直辖市为案例样本，基于组态思维，运用模糊集定性比较分析法（fsQCA），从学术基础、科学基础、技术基础、产业基础、政府支持5个维度探究创新策源能力对区域创新绩效的影响机制。研究发现：创新策源能力下5个变量的不同组合会对区域创新绩效产生不同影响，其中区域内的产业基础、技术基础是取得高创新绩效的必要条件；产生高区域创新绩效的路径有4条，根据政府的参与程度，可将4条路径分为两类，即非政府主导型合作创新和政府主导型关键技术创新；本文也发现了两种创新条件组态会创造非高创新绩效，且两类组态均以弱产业基础与弱技术基础为核心条件。地方政府可根据自身发展特点，选择不同路径来提高区域创新绩效。本研究首次将创新策源能力与区域创新绩效联系在一起，分析其内在影响机理，且分析结果与我国各区域发展情况吻合，刻画的４条产生高区域创新绩效的路径对不同地区创新活动的开展具有一定借鉴意义。

Taking 30 provinces, autonomous regions and municipalities directly under the Central Government in Mainland China as case samples, and based on the configuration thinking, fuzzy set qualitative comparative analysis (fsQCA) is applied to explore the influence mechanism of innovation policy source capacity on regional innovation performance from five dimensions of academic basis, scientific basis, technological basis, industrial basis and government support. The results show that the different combinations of the five variables under the creational and original innovation capacity have different effects on the regional innovation performance, and the industrial base and technological base within the region are the necessary conditions to achieve high innovation performance. There are four paths to produce high regional innovation performance. According to the degree of government participation, the four paths can be divided into two categories: nongovernmental leading cooperative innovation and government-leading key technology innovation. This paper also finds that two configurations of innovation conditions can create non-high innovation performance, and both of them take weak industrial base and weak technology base as the core conditions. Local governments can choose different paths to improve regional innovation performance according to their own development characteristics. In this study, for the first time, creational and original innovation capacity is linked with regional innovation performance, and the internal influence mechanism is analyzed. The analysis results are consistent with the development situation of various regions in China. The four paths to produce high regional innovation performance are of certain reference significance to the development of innovation activities in different regions.

G301；F127

国家自然科学“全球创新网络的多重嵌套、演化路径与制造企业动态学习机制研究” (71673190);上海市社科规划项目“开放创新环境下后发企业知识产权保护与价值占用机理研究”(2019BGL037)。