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基于智能分析的中国体育产业政策演变与评价研究

Research on the evolution and evaluation of Chinese sports industry policies based on intelligent analysis.

作者信息

Pan Zhaoyang, Ma Liang

机构信息

Sports Department, China Women's University, Beijing, China.

Library, China Women's University, Beijing, China.

出版信息

PLoS One. 2025 Feb 18;20(2):e0316206. doi: 10.1371/journal.pone.0316206. eCollection 2025.

Abstract

In recent decades, with the support and traction of a number of key policy steps, the scale of China's sports industry has achieved a new leap. The optimization of industrial structure has made new progress. From "nascent" to "strong", China's sports industry grows in importance of the national economy. In the meantime, sport is a significant way to promote health. With the rapid growth of people's requirements for sport and health, it is urgent to re-evaluate the past development path and formulate new directions so as to continuously improve and optimize the system. This study systematically sorts out China's sports industry documents at different stages, and describes the focus of each stage and the overall evolution track. On this basis, text mining and quantitative evaluation being used to extract high-frequency words of sports industry documents, and a sports industry document evaluation system including 9 first-level indicators and 47 second-level indicators is established. In this study, text similarity analysis is used to realize intelligent PMC index analysis, which effectively improves the analysis efficiency and makes up for the deficiency of simple qualitative analysis. According to the study, China's sports industry policies are scientific and effective. Combining with the development direction of industrial transformation, it provides ideas for the future adjustment and optimization of sports industry evolution path.

摘要

近几十年来,在中国一系列关键政策举措的支持与牵引下,中国体育产业规模实现了新的跨越,产业结构优化取得新进展。中国体育产业从“萌芽”走向“壮大”,在国民经济中的地位日益重要。与此同时,体育是促进健康的重要方式。随着人们对体育与健康需求的快速增长,迫切需要重新审视过去的发展路径,制定新的方向,以不断完善和优化体系。本研究系统梳理了中国体育产业不同阶段的相关文件,阐述了各阶段重点及整体演变轨迹。在此基础上,运用文本挖掘和定量评估提取体育产业文件高频词,构建了包含9个一级指标和47个二级指标的体育产业文件评估体系。本研究利用文本相似性分析实现智能PMC指数分析,有效提高了分析效率,弥补了单纯定性分析的不足。研究表明,中国体育产业政策科学有效,结合产业转型发展方向,为未来体育产业演变路径的调整与优化提供了思路。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a6b7/11835238/278474502289/pone.0316206.g001.jpg

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