专题:政府数据开放的隐私保护研究

共识与差异:政策工具视角下中国政府数据开放隐私保护央地政策的文本分析

  • 代佳欣 ,
  • 高凡
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  • 西南交通大学公共管理学院成都 610031
代佳欣,副教授,博士,硕士生导师,E-mail:daixiaoyuzi@163.com;高凡,教授,博士,硕士生导师。

收稿日期: 2022-09-13

  修回日期: 2022-11-11

  网络出版日期: 2023-04-15

基金资助

本文系国家社会科学基金青年项目“农民工基本公共服务可及性的实现机制研究”(项目编号:20CZZ025)研究成果之一。

Consensus and Difference: Text Analysis of Privacy Protection Central and Local Policies of Chinese Government Data Opening from the Perspective of Policy Tools

  • Dai Jiaxin ,
  • Gao fan
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  • School of Public Administration, Southwest Jiaotong University, Chengdu 610031

Received date: 2022-09-13

  Revised date: 2022-11-11

  Online published: 2023-04-15

摘要

[目的/意义] 隐私保护已成为国家推进政府数据开放的重要政策目标。聚焦央地政府数据开放隐私保护的政策工具问题,进而研究央地政策工具的共识、差异和深层逻辑。[方法/过程] 选取 2013—2022 年间央地制定的政府数据开放隐私保护相关政策 121 份,运用政策文本分析法,对央地政策的文本属性、主体特征和词频作量化分析。根据罗斯威尔和赛格菲尔德提出的政策工具分类框架,系统论析央地政策工具类型及其工具要素分布,比较央地政策工具的同异性,进而解释政策工具选择的内在逻辑。[结果/结论] 研究发现,中央和地方运用政策工具的总体目标都锚定信息安全管理、行政服务改革和技术发展;央地政策工具分类结构的一致性较强,表现出环境型、供给型和需求型三类政策工具使用率逐渐递减的总体趋势。然而,央级政策主体“中心—边缘”结构显著,省级政策主体却呈现“一核多元”特征;单类政策工具的内在结构和政策工具组合形式也具有央地差别。央地政策工具选择的差别,反映出政治情境回应逻辑、价值规范引导逻辑和理性执行逻辑。

本文引用格式

代佳欣 , 高凡 . 共识与差异:政策工具视角下中国政府数据开放隐私保护央地政策的文本分析[J]. 图书情报工作, 2023 , 67(7) : 13 -23 . DOI: 10.13266/j.issn.0252-3116.2023.07.002

Abstract

[Purpose/Significance] Privacy protection has become an important policy goal of the country to promote government data opening. This study aims to analysis policy tools of data opening privacy protection in the central and local governments, furthermore, this study tries to answer the consensuses, differences and underlying logic in the policy tolls choice of central and provincial governments.[Method/Process] 121 policies related to the privacy protection of government data openness formulated by the central and local governments from 2013 to 2022 were selected. Using the policy text analysis method, this study quantified text attibutes, subject characteristics and word frequency of the central and local policies. According to the classification framework of policy instruments proposed by Rothwell and Zegveld, this study systematically analyzed the types of central and local policy tools and the distribution of specific tool elements. Furthermore, through comparing the similarities and differences of central and local policy tools, this study also explained internal logic of the choice of policy tools.[Result/Conclusion] This study finds that the overall objectives of the central and local policy tools are anchored: information security management, administrative service reform and technological development; And the classification structure of central and local policy tools is consistent, showing the overall trend that the utilization rate of environmental, supply and demand policy instruments is gradually decreasing. However, the “center-edge” structure of the central level policy subjects is significant, while the provincial level policy subjects show the characteristics of “one core and multiple cooperators”; There are also central and local differences in the internal structure of a single type of policy tool and the combination of policy tools. The differences in the choice of central and local policy tools reflect the logic of political situation response, the logic of value norm guidance and the logic of rational implementation.

参考文献

[1] 储节旺, 丁辉. 美国政府开放数据个人隐私保护政策及对我国的启示——基于52个政策文本的内容分析[J]. 图书情报工作, 2021, 65(8):140-150.
[2] 陈萌. 澳大利亚政府数据开放的政策法规保障及对我国的启示[J]. 图书与情报, 2017(1):18-26.
[3] 陈美. 澳大利亚政府开放数据中的个人隐私保护研究[J]. 图书馆, 2019(6):28-35.
[4] 詹国彬. 英国数字政府转型:价值理念、技术工具与制度保障[J]. 行政论坛, 2021, 28(6):136-143.
[5] 黄如花, 温芳芳. 我国政府数据开放共享的政策框架与内容:国家层面政策文本的内容分析[J]. 图书情报工作, 2017, 61(20):12-25.
[6] ANGELOPOULOS K, DIAMANTOPOULOU V, MOURATIDIS H, et al. A Holistic approach for privacy protection in e-government[EB/OL].[2022-08-22]. https://doi.org/10.1145/3098954.3098960.pdf.
[7] MEIJER R, CONRADIE P, CHOENNI S. Reconciling contradictions of open data regarding transparency, privacy, security and trust[J]. Journal of theoretical and applied electronic commerce research, 2014, 9(3):32-44.
[8] YU R, OGUTI A M, OCHORA D R, et al. Towards a privacypreserving smart contract-based data aggregation and qualitydriven incentive mechanism for mobile crowdsensing[J]. Journal of network and computer applications, 2022, 207:103483.
[9] 周环, 幸强国, 唐泳. 基于政策文本计算的数据开放与隐私保护政策协同度研究[J]. 图书馆论坛, 2021, 41(11):118-127.
[10] 刘权. 论个人信息处理的合法、正当、必要原则[J]. 法学家, 2021(5):1-15.
[11] 刘权. 政府数据开放的立法路径[J]. 暨南学报(哲学社会科学版), 2021, 43(1):92-102.
[12] 刘云. 论可解释的人工智能之制度构建[J]. 江汉论坛, 2020(12):113-119.
[13] 张涛. 数据治理的组织法构造:以政府首席数据官制度为视角[J]. 电子政务, 2021(9):58-72.
[14] 迈尔-舍恩伯格, 库克耶. 大数据时代[M]. 盛杨燕, 周涛, 译. 杭州:浙江人民出版社, 2013.
[15] HANSON E C, ROTHWELL R, ZEGVELD W. Industrial innovation and public policy:preparing for the 1980s and the 1990s[J]. American political science review, 1981, 76(3):699.
[16] 中共中央党史和文献研究院. 习近平关于总体国家安全观论述摘编[M]. 北京:中央文献出版社, 2018.
[17] 沈荣华.中国地方政府学[M].北京:社会科学文献出版社, 2006.
[18] 金登. 议程、备选方案与公共政策[M]. 丁煌, 方兴, 译. 北京:中国人民大学出版社, 2004.
[19] JONES B D. 再思民主政治中的决策制定:注意力、选择和公共政策[M]. 李丹阳, 译. 北京:北京大学出版社, 2010.
[20] 韦伯. 经济与社会(上卷)[M]. 林荣远, 译. 北京:商务印书馆. 1997.
[21] 薛澜, 赵静. 走向敏捷治理:新兴产业发展与监管模式探究[J]. 中国行政管理, 2019(8):28-34.
[22] LINDBLOM C E. The science of muddling through[J]. Public administration review, 1959(19):78-88.
[23] ETZIONI A. Mixed-scanning:a "third" approach to decision making[J]. Public administration review, 1967(27):385-392.
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