| 上官莉娜,夏本倩.地方政府数据开放水平的驱动因素与提升路径研究[J].数字图书馆论坛,2022,(9):13~20 |
| 地方政府数据开放水平的驱动因素与提升路径研究 |
| Research on the Driving Factors and Improvement Paths of the Open Level of Local Government Data |
| 投稿时间：2022-08-24 |
| DOI：10.3772/j.issn.1673-2286.2022.09.002 |
| 中文关键词: 政府数据开放；地方政府；生态系统理论；驱动因素；定性比较分析 |
| 英文关键词: Open Government Data; Local Government; Ecosystem Theory; Driving Factors; Qualitative Comparative Analysis |
| 基金项目:本研究得到国家社会科学基金项目“协同治理视阈下街道办事处体制创新与机制优化研究”（编号：16BZZ067）资助。 |
| 作者 | 单位 | | 上官莉娜 | 武汉大学政治与公共管理学院 | | 夏本倩 | 武汉大学政治与公共管理学院 |
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| 中文摘要: |
| 推进政府开放数据是提升政府治理能力、建设新时代服务型政府的重要举措。本文基于数据开放生态系统理论，构建包括数据资源、政府信息服务能力、社会开发创新能力、公众数据需求程度、政策支持度以及经济发展水平六大要素在内的分析框架，运用模糊集定性比较方法，对山东省16个城市的政府数据开放水平驱动因素进行组态分析。结果表明，地方政府数据开放水平受到数据资源、公众数据需求、政策支持等多种因素的交互影响，共生成5种组态路径。这些路径可归结为全要素驱动型、政策支撑型和需求-供给联动型3种类型，为提升我国地方政府的数据开放水平提供了经验参考与样板借鉴。 |
| 英文摘要: |
| Promoting government open data is an important measure to improve government governance capacity and build a service-oriented government in the new era. Based on the data open ecosystem theory, this paper constructs an analytical framework including data resources, government information service capabilities, social development and innovation capabilities, public data demand, policy support, and economic development level, etc., and uses the fuzzy set qualitative comparison method. Configuration analysis was carried out on the driving factors of the level of government data openness in 16 cities in Shandong province. The results show that the level of local government data openness is affected by the interaction of data resources, public data needs, policy support and other factors, and a total of five configuration paths are generated. These paths can be attributed to three types: total factor-driven, policy-supported, and demand-supply linkage, providing experience and model references for improving the level of data openness of local governments in my country. |
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