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作 者:王孟尧 沙德春[1] 周春涛 WANG Mengyao;SHA Dechun;ZHOU Chuntao(College of Information and Management Science,Henan Agricultural University,Zhengzhou 450002,China;Human Resource Department,Henan Agricultural University,Zhengzhou 450002,China)
机构地区:[1]河南农业大学信息与管理科学学院,郑州450002 [2]河南农业大学人事处,郑州450002
出 处:《河南科学》2024年第4期597-605,共9页Henan Science
基 金:河南省高层次人才特殊支持项目(ZYQR201912202);河南省高等学校哲学社会科学应用研究重大项目(2023-YYZD-10)。
摘 要:创新是推动区域发展变革的关键因素,同样对数字化发展有重要驱动作用.基于创新生态系统理论,运用模糊集定性比较分析(fsQCA)方法,以中国31个省份(直辖市、自治区)为样本,研究创新驱动区域数字化水平提升的组态路径.结果表明:①各单一创新要素均不构成驱动高、非高数字化水平的必要条件,数字化水平是多种创新要素共同作用的结果;②存在4条驱动高数字化水平的组态路径,按其核心条件差异可分为“技术-资源支撑型”“主体-环境协同型”“知识-政策-资源-环境联动型”等三类组态路径;③存在4条非高数字化水平的组态路径,按其核心条件差异归纳为“人才-经费短缺型”“知识-政策匮乏型”和“主体-资源抑制型”等三种类型的组态路径.Innovation is an important factor in driving regional digital transformation,but there is relatively little research on the impact of innovation factors on digitalization.Based on the theory of innovation ecosystems and the fuzzy set Qualitative Comparative Analysis(fsQCA)method,this study examines the configuration paths for driving regional digitalization levels of 31 provinces(municipalities and autonomous regions)in China.The results show that:①No single innovation factor constitutes a necessary condition for driving high or non-high levels of digitalization,and digitalization levels are the result of the combined effect of multiple innovation factors.②There are four configuration paths for driving high levels of digitalization.Based on the differences in their core conditions,they can be divided into three categories:technology-subject-innovation resource linkage type,subject-environment coordination type,and knowledge-policy-resource-environment optimization type.③There are four configuration paths for non-high levels of digitalization,which can be summarized into three different types of configuration paths:talent-funding shortage type,knowledge-policy scarcity type,and subject-resource suppression type,according to the differences in their core conditions.
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