图书情报工作

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2025 , Vol. 69 >Issue 3: 14 - 24

DOI: https://doi.org/10.13266/j.issn.0252-3116.2025.03.002

研究论文

我国文化数字化创新评价体系及实证研究

  • 钱明辉 ,
  • 许嘉元 ,
  • 王驰 ,
  • 王名钰
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  • 1 中国人民大学信息资源管理学院 北京 100872;
    2 中国人民大学科学研究处 北京 100872;
    3 中国科学院文献情报中心 北京 100190;
    4 中国人民大学智能信息分析研究中心 北京 100872
钱明辉，副处长（主持工作），教授，博士，博士生导师；许嘉元，博士，博士后；王驰，博士研究生，通信作者，E-mail：ellie@ruc.edu.cn；王名钰，硕士研究生。

收稿日期: 2024-04-11

  修回日期: 2024-08-10

  网络出版日期: 2025-02-11

基金资助

本文系国家社会科学基金重点项目“基于数智融合的信息分析方法创新与应用”（项目编号：22AZD158）研究成果之一。

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Culture Digitalization Innovation Evaluation System and Empirical Research in China

  • Qian Minghui ,
  • Xu Jiayuan ,
  • Wang Chi ,
  • Wang Mingyu
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  • 1 School of Information Resource Management, Renmin University of China, Beijing 100872;
    2 Office of Research, Renmin University of China, Beijing 100872;
    3 National Science Library, Chinese Academy of Sciences, Beijing 100190;
    4 Information Analysis Research Center, Renmin University of China, Beijing 100872

Received date: 2024-04-11

  Revised date: 2024-08-10

  Online published: 2025-02-11

Supported by

This work is supported by the key project of the National Social Science Fund of China, titled “Innovation and Application of Information Analysis Methods Based on Digital Intelligence Fusion” (Grant No. 22AZD158).

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摘要

[目的/意义] 构建文化数字化创新指数评价指标，评估和监测我国各省份文化数字化创新水平，为促进我国文化数字化深入发展提供参考。[方法/过程] 采用专家打分法与熵权法相结合的形式，构建文化数字化创新指标体系，并结合专利数据和产业数据对我国31个省的文化数字化创新水平进行实证分析。[结果/结论] 实证结果表明，我国各省份文化数字化水平呈现不一致性，经济发达省份文化数字化创新程度较高，个别省份创新特色鲜明；文化数字化创新呈现区域分化、产业集群分化等特点；文化数字化创新水平与科技人才、知识产权布局等要素高度协同。为此，建议聚集国家文化数字化建设核心，有效保障数据文化资源的开放和共享；加强对各省、地区文化数字化创新的动态监测，鼓励文化资源充分挖掘；加快和深化文化数字化创新活动，重视对相关行业的人才的吸纳。

关键词： 文化数字化; 创新能力; 技术活力; 服务潜力; 产业效益

本文引用格式

钱明辉 , 许嘉元 , 王驰 , 王名钰 . 我国文化数字化创新评价体系及实证研究[J]. 图书情报工作, 2025 , 69(3) : 14 -24 . DOI: 10.13266/j.issn.0252-3116.2025.03.002

Abstract

[Purpose/Significance] Constructing the cultural digitalization innovation evaluation index, assessing and monitoring the innovation level across provinces can provide references for promoting the in-depth development of cultural digitalization in China. [Method/Process] Through expert scoring method and entropy weight method, this article constructed a cultural digitalization innovation index system. Combining patent data and industry data, it made an empirical analysis on the level of cultural digitalization innovation in 31 provinces. [Result/Conclusion] The empirical results indicate that the level of cultural digitalization varies across provinces. Economically developed provinces show higher level of innovation, and some provinces exhibit distinctive innovation characteristics. Cultural digitalization innovation presents regional differentiation and industrial cluster differentiation. The innovation level is highly coordinated with scientific and technological talents, intellectual property layout and other elements. It puts forward the following suggestions: focus on the core of national cultural digitalization construction, effectively guarantee the openness and sharing of data and cultural resources; strengthen the dynamic monitoring in provinces and regions, and encourage the full excavation of cultural resources; accelerate and deepen the innovation activities, and pay attention to the absorption of talents in related industries.

Key words： cultural digitalization; innovation capacity; technological vitality; service potential; industrial benefits

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