山东科学 ›› 2024, Vol. 37 ›› Issue (5): 111-121.doi: 10.3976/j.issn.1002-4026.20240042

• 情报分析与数据管理 • 上一篇    下一篇

面向山东省数字经济政策文本的量化评价研究

王琛1(), 赵燕清1, 张铭君2,3,4,*()   

  1. 1.齐鲁工业大学(山东省科学院) 山东省科学院情报研究所,山东 济南 250014
    2.中国工业互联网研究院,北京 100015
    3.乌克兰国立技术大学“伊戈尔·西科尔斯基基辅理工学院”,乌克兰 基辅 03056
    4.山东省工业互联网发展研究中心,山东 青岛 266100
  • 收稿日期:2024-03-20 出版日期:2024-10-20 发布日期:2024-09-29
  • 通信作者: 张铭君 E-mail:2876846254@qq.com;zhangmingjun@china-aii.com
  • 作者简介:王琛(2001—),女,硕士研究生,研究方向为政策计量与情报分析。E-mail:2876846254@qq.com
  • 基金资助:
    山东省软科学研究项目(2023RZB04032);山东省软科学研究项目(2023RZB04036)

Quantitative evaluation of digital economy policy texts in Shandong Province

WANG Chen1(), ZHAO Yanqing1, ZHANG Mingjun2,3,4,*()   

  1. 1. Information Research Institute of Shandong Academy of Sciences,Qilu University of Technology(Shandong Academy of Sciences),Jinan 250014, China
    2. China Academy of Industrial Internet, Beijing 100015, China
    3. National Technical University of Ukraine“Igor Sikorsky Kyiv Polytechnic Institute”, Kyiv 03056, Ukraine
    4. Shandong Industrial InternetDevelopment Research Center, Qingdao 266100, China
  • Received:2024-03-20 Online:2024-10-20 Published:2024-09-29
  • Contact: ZHANG Mingjun E-mail:2876846254@qq.com;zhangmingjun@china-aii.com

摘要:

数字经济政策是促进数字经济发展,规范与促进数字经济活动的重要指导性文本。对数字经济政策进行梳理与量化评价,可为相关政策的制定与优化提供有效支撑。以文本挖掘技术和PMC指数模型为工具,构建以9个一级变量和35个二级变量为指标的政策评价体系,重点对山东省的数字经济政策进行量化评价与分析。研究所选取的10项数字经济政策样本中,3项为优秀,3项为良好,3项为及格,1项为不合格。研究结果表明,山东省数字经济政策整体情况表现良好,具备一定的科学性,未来应在政策时效、政策领域、政策视角等方面进行优化。

关键词: 数字经济, PMC模型, 政策评价, 山东省, 文本挖掘

Abstract:

Digital economy policies are critical for guiding the promotion and regulation of activities within a digital economy. Analyzing these policies quantitatively can significantly support the formulation and enhancement of related strategies. This paper used text mining techniques and the Policy Modeling Consistency index model to construct an evaluation framework comprising 9 primary variables and 35 secondary variables as indicators for quantitatively assessing digital economy policies within Shandong Province. Of the ten selected samples of digital economy policies, researchers rated three as excellent, three as good, three as satisfactory, and one as inadequate. Research findings indicated that digital economy policies in Shandong Province were generally effective, showing a certain degree of scientific rigor. In the future, policy optimization should focus on policy timeliness, scope, and perspectives.

Key words: digital economy, PMC model, policy evaluation, Shandong Province, text mining

中图分类号: 

  • G353.1

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