东北大学学报(社会科学版) ›› 2019, Vol. 21 ›› Issue (5): 489-496.DOI: 10.15936/j.cnki.1008-3758.2019.05.007

• 政治与公共管理研究 • 上一篇    下一篇

政府信息公开制度扩散的多重逻辑——面向中国省份的事件史分析

韩啸,吴金鹏   

  1. (上海交通大学国际与公共事务学院,上海200030)
  • 收稿日期:2019-02-27 修回日期:2019-02-27 出版日期:2019-09-25 发布日期:2019-09-25
  • 通讯作者: 韩啸
  • 作者简介:韩啸(1988-),男,四川成都人,上海交通大学博士研究生,主要从事电子政务、政府治理研究;吴金鹏(1991-),女,山东滨州人,上海交通大学博士研究生,主要从事政策分析、政府治理研究。
  • 基金资助:
    国家社会科学基金重大专项资助项目(18VSJ057)。

Multiple Logics of the Diffusion of Government Information Disclosure System——An Event History Analysis of Chinese Provinces

HAN Xiao, WU Jin-peng   

  1. (School of International and Public Affairs, Shanghai Jiaotong University, Shanghai 200030, China)
  • Received:2019-02-27 Revised:2019-02-27 Online:2019-09-25 Published:2019-09-25
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摘要: 政府信息公开制度在自主性扩散阶段的扩散速度远远快于强制性扩散阶段,这与现有理论解释相悖。由于缺乏实证研究讨论具体的作用机制,为了找到合理解释,以政策扩散理论为基础,引入多重逻辑,使用事件史分析法对2004—2015年间中国31个省份的面板数据进行分析,检验了在不同扩散阶段下发挥主导作用的组织行为逻辑。研究发现,在自主性扩散阶段受效率逻辑与行动者逻辑的双重驱动,在强制性扩散阶段受到合法性逻辑与效率逻辑的影响。研究有助于深化对我国地方政府政策创新扩散内在逻辑的认识与理解,并为后续研究提供理论依据。

关键词: 政府信息公开, 政策扩散, 事件史分析, 自主性扩散, 强制性扩散

Abstract: The government information disclosure system is spreading faster in the stage of induced diffusion than the imposed diffusion stage. This is contrary to the existing theoretical explanation. Due to the lack of empirical research that discusses the diffusion mechanism to find a reasonable explanation based on the policy diffusion theory, this paper used discrete time event history analysis (EHA) to analyze the panel data of 31 provinces in China from 2004 to 2015, and tested the organizational behavior logic that plays a leading role in different diffusion stages. It is found that government information disclosure system is driven by efficiency logic and actor logic in the induced diffusion stage, and influenced by legitimacy logic and efficiency logic in the imposed diffusion stage. This research helps to deepen the understanding of the internal logic of policy innovation diffusion of local governments in China and provides a theoretical basis for the follow-up research.

Key words: government information disclosure, policy diffusion, event history analysis, induced diffusion, imposed diffusion

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