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中国省域数字政府发展的网络结构特征与提升路径分析

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大数据时代下,中国省域间数字政府发展的成效如何、怎样进一步推动数字政府建设具有一定的研究价值。以全国31个省市及自治区(不包括港澳台地区)为研究对象,从基础设施支持度、数字资源供给度、质量监管、平台支撑度、履职能力五个维度构建数字政府发展的综合评价指标体系,借助熵值法确定指标的得分以及各省份数字政府发展排名,在此基础上运用社会网络分析揭示数字政府关联网络的分布格局和网络结构特征,结合fsQCA方法实证探究促进高履职能力的组态路径。研究结果表明,省域间数字政府发展仍存在一定的差距,数字政府网络呈现南部密集、北部稀疏的格局,数字政府的发展受到多重因素的共同影响,归纳为环境驱动型、基础导向型和主体驱动型。
Analysis of Network Structure Characteristics and Promotion Path of Provincial Digital Government Development in China
In the era of big data,there is a certain research value on the effectiveness of inter-pro-vincial digital government development in China and how to further promote the construction of digital government.With 31 provinces and cities(excluding Hong Kong,Macao and Taiwan)as the research object,a comprehensive evaluation index system for digital government development was constructed from five dimensions:infrastructure support,digital resource supply,quality supervision,platform support,and performance ability.The index scores and digital government development ranking of each province were determined by entropy method.On this basis,social network analysis is used to reveal the distribution pattern and network structure characteristics of digital government associated networks,and fsQCA method is used to empirically explore the configuration path to promote high performance ability.The research results show that there is still a certain gap in the development of digital government among provinces,and the digital government network is dense in the south and sparse in the north.The development of digital government is affected by multiple factors,which can be summarized as environment-driven,foundation-oriented and subject-driven.

digital governmentdigital economyfsQCAnetwork structure

高岳林、郝佳欣、乔英

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北方民族大学数学与信息科学学院,宁夏银川 750000

宁夏智能信息与大数据处理重点实验室,宁夏银川 750000

数字政府 数字经济 fsQCA 网络结构

2024

宝鸡文理学院学报(社会科学版)
宝鸡文理学院

宝鸡文理学院学报(社会科学版)

CHSSCD
影响因子:0.168
ISSN:1008-4193
年,卷(期):2024.44(3)
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