智库理论与实践2025，Vol.10Issue(5)：35-46,12.DOI:10.19318/i.cnki.issn.2096-1634.20241009.0005
我国智慧旅游政策特征解析与优化策略研究
Research on the Characteristics of China's Smart Tourism Policies and Optimisation Strategies
摘要
Abstract
[Purpose/Significance]Smart tourism policy serves as a crucial directive for fostering the high-quality development of China's cultural tourism economy and accelerating the digital transformation of the tourism industry.Conducting a quantitative analysis of smart tourism policies provides both theoretical basis and practical reference for the policy formulation in China.[Method/Process]Based on the theory of policy instru-ments,a three-dimensional framework model of"policy instruments-policy subject-policy effectiveness"is con-structed.Based on the contents of 149 policy texts issued at the central and provincial levels from 2012 to 2024,this research employs text mining,LDA subject model and content analysis to explore the characteristics and optimization strategies of smart tourism policy formulation and development in China.[Result/Conclusion]At present,the balance and coordination of the smart tourism policy tool structure in our country is poor,and the sup-ply-oriented policy tool is preferred.The main policy theme is the construction of smart tourism comprehensive services,and the adaptation of each theme and policy tools is poor.Additionally,the policy type is single and the policy effectiveness needs to be strengthened.Based on this,countermeasures and suggestions such as optimizing the rationality of policy tool structure,strengthening multi-subject cooperation and coordinating the attention allo-cation of policy themes are further proposed to promote the high-quality construction of smart tourism in China.关键词
智慧旅游/政策工具/LDA主题模型/政策优化/政策量化Key words
smart tourism/policy tools/LDA topic model/policy optimization/policy quantification分类
经济学引用本文复制引用
袁丹,潘亚光,吴润涵,杜晨郑泽..我国智慧旅游政策特征解析与优化策略研究[J].智库理论与实践,2025,10(5):35-46,12.基金项目
本文系国家自然科学基金面上项目"AIGC参与下知识创新驱动数字创意企业高质量内容生成的机理及影响效应研究"(项目编号:72474170)研究成果之一. （项目编号:72474170）
