信息资源管理学报 ›› 2025, Vol. 15 ›› Issue (2): 46-58.doi: 10.13365/j.jirm.2025.02.046

• 研究论文 • 上一篇    下一篇

政策渊源:一种新的政策计量模式

霍帆帆1 霍朝光2 姚宇奇3   

  1. 1.中国科学技术信息研究所, 北京, 100038; 
    2.中国人民大学信息资源管理学院 北京, 100872; 
    3.上海交通大学凯原法学院, 上海, 200030
  • 出版日期:2025-03-26 发布日期:2025-04-11
  • 作者简介:霍帆帆, 博士, 助理研究员, 研究方向为科技情报与政策信息学; 霍朝光(通讯作者), 博士, 副教授, 研究方向为政策信息学与科技情报, Email: huochaoguang@126.com;姚宇奇, 博士研究生, 研究方向为行政立法与行政规范性文件.
  • 基金资助:
    本文系国家自然科学基金面上项目“基于图机器学习的学科交叉主题识别与预测研究”(72374202);国家自然科学基金青年项目“基于广度学习的学科主题演化预测研究”(72004221)的研究成果。

Sources of Policy: A New Mode of Policiometrics

Huo Fanfan1 Huo Chaoguang2 Yao Yuqi3   

  1. 1. Institute of Scientific and Technical Information of China, Beijing, 100038; 
    2.School of Information Resource Management, Renmin University of China, Beijing 100872; 
    3.Koguan School of Law, Shanghai Jiaotong University, Shanghai 200030
  • Online:2025-03-26 Published:2025-04-11
  • About author:Huo Fanfan, Ph.D., assistant researcher, research direction: scientific and technical information and policy informatics; Huo Chaoguang(corresponding author), Ph.D., associate professor, research direction: policy informatics and scientific and technical information, Email: huochaoguang@126.com; Yao Yuqi, Ph.D. candidate, research direction: administrative legislation and administrative normative documents.
  • Supported by:
    This is an outcome of the projects "Interdisciplinary Topic Identification and Prediction based on Graph Machine Learning" (72374202) and "Prediction of Scientific Topic Evolution Based on Broad Learning" (72004221) supported by the National Natural Science Foundation of China.

摘要: 政策计量以及政策文本量化分析对于揭示政策中的复杂规律具有重要作用,限于目前政策计量模式单一、缺乏创新,本文借鉴法律渊源的内涵和体系,提出政策渊源这一新概念体系,并根据不同政策渊源提示词的内涵,凝练出援引类、执行类、准用类、效用调整类等四大类政策渊源,首次构建了包含17个子类的政策渊源类别体系,并以地方数据治理政策为例进行实证分析。结果表明,政策渊源模式能够对政策之间的关系进行有效的计量和分析,不同政策渊源类别能够充分表征各自关系的内涵,实证结果在一定程度上反映了数据治理不同政策渊源以及渊源网络所呈现的规律,揭示了现有数据治理政策之间的政策渊源所存在的问题和不足。本文提出的政策渊源模式,为政策量化分析提供了一种新模式,丰富了现有政策信息学方法论。

关键词: 政策渊源, 法律渊源, 体系构建, 数据治理, 政策计量

Abstract: Policiometrics and policy text quantification analysis play an important role in uncovering complex patterns within policies. However, existing policiometrics models are relatively simplistic and lack innovation. Drawing inspiration from the connotation and system of source of law, this paper proposes a new model called "sources of policy". Unlike the sources of law that focus solely on tracing legal sources or policy diffusion that examines the spread and adoption of policies among different levels and regions of government, sources of policy emphasize the legal basis, value foundation, ideological basis, and spiritual basis of policy formulation. It refers to the superior policies, ideological origins, related requirements, overall guidelines, or general instructions of a given policy. Based on the underlying meanings of various source of policy indicators, four primary categories are identified: citation-based source of policy, implementation-based sources of policy, application-based source of policy, and utility-adjustment-based source of policy. For the first time, a comprehensive category system comprising 17 subclasses of sources of policy is developed. An empirical analysis is conducted using local data governance policies as a case study. The findings reveal that this source of policy model effectively quantifies and analyzes policy interrelationships. Different sources of policy categories comprehensively depict the implications of their respective relationships. Using local data governance policies as an example, the model partially reflects the patterns presented by different sources of policy and source network in data governance, while also uncovering issues and deficiencies in the sources of policy of existing data governance policies. This model holds significant value in unveiling dynamic policy changes and interrelations. It is applicable across various domains, offering a new framework for policy quantification analysis research and enriching existing policy research methodologies.

Key words: Sources of policy, Sources of law, Framework construction, Data governance, Policiometrics

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