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王娅.国有企业信息公开诉讼的制度困境与优化逻辑[J].北京理工大学学报(社会科学版),2020,22(4):138~147 本文二维码信息
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国有企业信息公开诉讼的制度困境与优化逻辑
Institutional Dilemma and Optimization Logic of Information Disclosure Litigation in State-owned Enterprises
投稿时间:2018-10-24  
DOI:10.15918/j.jbitss1009-3370.2020.2973
中文关键词:  信息公开  国有企业  《政府信息公开条例》  国资委
English Keywords:information disclosure  state-owned enterprise  Government Information Disclosure Regulations  SASAC
基金项目:司法部国家法治与法学理论研究课题“社会信用体系法治化问题研究”(19SFB3005)
作者单位
王娅 浙江理工大学 法政学院, 浙江 杭州 310018 
摘要点击次数: 1125
全文下载次数: 2027
中文摘要:
      国有企业信息公开问题进入行政诉讼,缘于国有企业的公共色彩和《政府信息公开条例》的附则规定,是一种特殊的信息公开诉讼类型。基于国有企业的复杂性质和监管机制,国有企业信息公开诉讼面临着被告认定无序性、义务主体复合性、信息内容复杂性等难题。作为应对,一是要通过打破行政主体理论的藩篱,明晰被告主体资格的判定方法。二是以确立国有企业作为被告的中心地位、建立“平行选择”制度、引入“第三人”制度为着眼点,厘清国有企业与国资委在诉讼过程中的竞合关系。三是细化国有企业信息公开的判定标准,包括确立信息产生的主体、明晰信息产生的过程、鉴别信息内容的性质、分割复合性信息等四个方面。
English Summary:
      The problem of state-owned enterprises' information disclosure has entered administrative litigation. It is a special type of information disclosure lawsuit due to the public nature of state-owned enterprises and the provisions of the Regulations on the Openness of Government Information. Based on the complex nature and supervision mechanism of state-owned enterprises, information disclosure litigation of state-owned enterprises faces difficulties such as defendant's determination of disorder, complexity of the subject of the obligation, and complexity of the information content. To solve these problems, first, the method of judging the subject qualification of the defendant should be clarified by breaking the barriers of the administrative subject theory. Second, the co-opetition relationship between state-owned enterprises and SASAC in the litigation process should be clarified, by establishing state-owned enterprises' defendant's central position, establishing a "parallel choice" system, and introducing a "third-person" system. Third, the criteria for the disclosure of information in state-owned enterprises should be refined, including the establishment of the main body of information generation, the process of clear information generation, the nature of identifying information content, and the division of composite information.
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