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作 者:黄晨馨 HUANG Chenxin(School of Political Science&Public Administration,Wuhan University,Wuhan 430072,China)
机构地区:[1]武汉大学政治与公共管理学院,武汉430072
出 处:《科技和产业》2025年第6期306-312,共7页Science Technology and Industry
摘 要:充分发挥数据要素作用是实现经济社会高质量发展的有力支撑。基于信息生态理论,从信息、信息主体、信息环境3个维度构建数据治理生态系统,使用模糊集定性比较分析法探讨数据资源水平、政府数字化重视度、公民数字需求、公民数字素养、政府财政水平、数字基础设施、数字创新能力7个条件变量对省级政府数据治理绩效的组合路径影响。研究表明:数字基础设施是影响高水平数据治理绩效的关键因素;数据资源水平、公民数字素养以及数字创新能力不高是导致低水平数据治理绩效的重要因素;研究生成了高水平数据治理绩效的6条路径,可归纳为全要素发展型、资源引领型、环境驱动型3类。各省级政府应基于自身发展条件,探索多重要素间的动态适配路径。Fully leveraging the role of data elements is a powerful support for achieving high-quality economic and social development.Based on Information Ecology Theory,a data governance ecosystem was constructed from three dimensions such as information,information subjects and information environment.Using relevant index reports and statistical data from 2023,a fuzzy set qualitative comparative analysis method was used to analyze the combined path impact of seven conditional variables which were data resource level,government digital attention,citizen digital needs,citizen digital literacy,government financial level,digital infrastructure and digital innovation capability on the performance in data governance of provincial-level governments in China.The results show that,from a single perspective,digital infrastructure is a key factor affecting the performance of high-level data governance.Low levels of data resources,low digital literacy of citizens and low digital innovation capabilities are important factors leading to the performance of low-level data governance.From the perspective of configuration conditions,there are six paths to generating the performance of high-level data governance,which can be further classified into three types,such as total-factor development type,resource-led type and environment-driven type.It is necessary to explore adaptation paths among multiple important elements for Provincial governments based on their own development conditions.
分 类 号:D63[政治法律—政治学] G203[政治法律—中外政治制度]
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