| 区域创新的驱动因素组态与路径识别---基于中国31个省市的模糊集定性比较分析 |
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| 引用本文： | 陈光,钟方媛,周贤永.区域创新的驱动因素组态与路径识别---基于中国31个省市的模糊集定性比较分析[J].科技管理研究,2022(17). |
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| 作者姓名： | 陈光 钟方媛 周贤永 |
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| 作者单位： | 西南交通大学,西南交通大学,西南交通大学 |
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| 基金项目： | 科技部创新方法工作专项项目(2017IM010700)；四川省软科学研究计划项目(2021JDR0001)；四川省社会科学研究“十三五”规划2020年度项目(SC20ZT015)； |
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| 摘 要： | 创新能力是推动高质量发展的关键因素之一。基于组态视角,以中国31个省市作为案例分析样本,运用fsQCA方法探讨区域创新能力的驱动因素和因素之间的互动关系。研究发现：高技术是驱动区域高创新水平的必要条件,高技术人才和高技术企业是推动区域创新水平提高的必要条件；形成区域高创新水平的驱动路径共有5条,非高创新水平的驱动路径有4条,两者存在非对称关系；在特定的客观禀赋条件下,政府投入、市场、组织等驱动因素之间具有替代关系,可以通过互相替代以“殊途同归”的方式提升区域创新水平。研究结论有助于深化对我国区域创新水平提高背后多因素间复杂互动本质的理性认识,可为实现区域创新驱动发展提供有益的借鉴与启示。
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| 关 键 词： | 关键字：区域创新能力 驱动路径 组态效应 模糊集定性比较分析 |
| 收稿时间： | 2022/2/22 0:00:00 |
| 修稿时间： | 2022/3/15 0:00:00 |
Configuration and Path Identification of Driving Factors of Regional Innovation ---Based on fsQCA analysis of 31 provinces and cities in China |
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| Abstract: | Innovation ability is one of the key factors to promote high-quality development. Based on the configuration perspective, with 31 provinces in China as case analysis samples, the fsQCA method is used to explore the driving factors of regional innovation capabilities and the interaction between factors. The study found that high technology is a necessary condition for improving the level of regional innovation, high-tech talents and high-tech enterprises are necessary factors to promote the improvement of regional innovation; there are 5 driving paths that form a high level of innovation in the region, and 4 paths for low innovation levels. There is an asymmetric relationship between the two; under certain objective endowment conditions, there is an alternative relationship between government, market, organization and other driving factors, and the level of regional innovation can be improved through mutual substitution. The research conclusions help to deepen the rational understanding of the complex nature of the multiple factors behind the improvement of the regional innovation level, and can provide useful reference and enlightenment for the realization of regional innovation-driven development. |
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| Keywords: | regional innovation ability driving path configuration effect fsQCA |
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