图书情报工作 ›› 2023, Vol. 67 ›› Issue (8): 18-29.DOI: 10.13266/j.issn.0252-3116.2023.08.002

• 专题:开放政府数据使用、制度评价与隐私风险控制研究 • 上一篇    下一篇

我国地方政府开放数据制度评价与运行效果研究

陈美, 郝志豪, 曹语嫣, 何祺   

  1. 中南财经政法大学公共管理学院 武汉 430073
  • 收稿日期:2022-11-02 修回日期:2023-01-09 出版日期:2023-04-20 发布日期:2023-04-25
  • 作者简介:陈美,副教授,博士,硕士生导师,E-mail:chenmei672236@163.com;郝志豪,硕士研究生;曹语嫣,硕士研究生;何祺,硕士研究生
  • 基金资助:
    本文系国家自然科学基金项目“面向用户的开放政府数据使用行为机理及隐私风险控制研究”(项目编号:72004056)研究成果之一

Research on the Evaluation and Operational Effectiveness of the Chinese Local Government Open Data System

Chen Mei, Hao Zhihao, Cao Yuyan, He Qi   

  1. School of Public Administration, Zhongnan University of Economics and Law, Wuhan 430073
  • Received:2022-11-02 Revised:2023-01-09 Online:2023-04-20 Published:2023-04-25

摘要: [目的/意义] 开放政府数据对于经济发展以及社会服务有着重要的意义,自2012年中国加入开放政府数据的实践潮流以来,进展与问题并存,考察其制度设计、研究其运行效果,已是当务之急。[方法/过程] 本文在政策文本量化评价部分首先对全国范围内564份开放政府数据政策相关文本中的高频词进行挖掘,构建出开放政府数据制度设计的评价模型,并将其结合PMC指数模型对29个城市的开放政府数据实施方案进行量化评价,系统比较其优势与不足。此外,在政策文本量化评价结果的基础上,进一步结合制度逻辑视角、资源基础理论以及行政生态学理论进行变量设置,利用定性比较分析方法(QCA)得出实现开放政府数据良好运行效果的4条路径,并通过提高PRI一致性的方式进行稳健性检验。[结果/结论] 研究发现,开放政府数据政策质量等级平均状况为良好,但等级为优秀的城市占比不足,政策质量有待进一步提高。安全保护、保障体系、监督考核体系、开放机制、平台管理、数据利用、数据治理、数据资源开放目录以及责任规定等指标是主要的影响因素。此外,我国市级开放政府数据制度的政策质量与运行效果之间并非一致,数据管理体制、财政资源、数据技术能力、数据平台建设以及公众需求对于开放政府数据工作有着重要意义,资源驱动型、制度—资源驱动型以及需求—资源驱动型是政府数据开放高绩效的前因条件构型。

关键词: 开放政府数据, 制度设计, 运行效果, PMC指数, QCA

Abstract: [Purpose/Significance] Open government data is of great significance to economic development and social service. Since mainland China joined the practice trend of open government data in 2012, progress and problems coexist. It is urgent to investigate its system design and study its operation effect. [Method/Process] In the quantitative evaluation part of policy text, this paper firstly mined the high-frequency words in 564 open government data policy-related texts nationwide, constructed the evaluation model of open government data system design, and combined it with the PMC index model, carried out quantitative evaluation of 29 cities’ open government data implementation schemes, and systematically compared their advantages and disadvantages. On the basis of the quantitative evaluation results of the policy text, the variables were further set from the perspective of institutional logic, resource-based theory and administrative ecology theory, and the qualitative comparative analysis method (QCA) was used to obtain four paths to achieve the good operation effect of open government data, and the robustness test was conducted by improving the consistency of PRI. [Result/Conclusion] The study finds that the average status of policy quality level of open government data is good, but the proportion of cities rated as excellent is insufficient, and the policy quality needs to be further improved. Indicators such as security protection, security system, supervision and assessment system, open mechanism, platform management, data utilization, data governance, open catalog of data resources and responsibility regulations are the main influencing factors. In addition, the policy quality and operational effect of Chinese municipal open government data system are not consistent. Data management system, financial resources, data technical ability, data platform construction and public demand are of great significance to open government data work. Resource-driven, institution-resource-driven and demand-resource-driven are the antecedent conditional configurations of high performance government data opening.

Key words: open government data, system design, operation effect, PMC index, qualitative comparative analysis

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