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数字化赋能旅游经济发展的机理与路径:“流量”还是“质量”?

Research on the Mechanism and Path of Digitally-empowered Development of Tourism Economy: Quantity or Quality?

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【作者】 王俐周向红

【Author】 Wang Li;Zhou Xianghong;School of Public Administration,China University of Mining and Technology;School of Economics and Management,Tongji University;

【通讯作者】 周向红;

【机构】 中国矿业大学公共管理学院同济大学经济与管理学院

【摘要】 产业数字化是加快数字中国建设的重要抓手,是助推经济高质量发展的关键动能,本文重点关注数字化赋能旅游经济发展的机理与路径。本文通过构建纳入数字化赋能效应的Hotelling扩展模型,从“流量”和“质量”两个维度深入探究数字化赋能旅游经济发展的效应、路径及动态演化机理,进而通过测度旅游数字化水平、构建基准回归模型、结构方程模型并利用Bootstrap方法进行实证分析。研究发现:(1)数字化赋能旅游经济发展的路径主要是扩大旅游客流量、提升人均旅游消费水平和推动旅游消费结构升级;(2)数字化赋能旅游经济发展的效应存在显著区域差异,在我国东部和中部地区以“质量”路径为主,在西部地区以“流量”和“质量”路径为主;(3)从路径演进看,数字化赋能旅游经济发展的“流量”路径效应日渐式微,将“流量”转换为“质量”是未来旅游数字化发展的必然选择。

【Abstract】 Digitization has become a key driving force for digital China construction and high-quality development, and this paper focuses on the mechanism and path of digitally-empowered development of tourism economy.By establishing an extended Hotelling model for digitalized advancement of tourism, this paper deduces a digitally-empowered tourism developing effect as well as their dynamic evolution mechanism. Then the research forms an evaluation index system of tourism digitalization and carries out empirical studies with basic panel data model, structural equation model and Bootstrap method. The empirical analysis finds that(1) digitization promotes tourism economyby expanding the tourists scale, improving tourism consumption level and promoting the consumption structure;(2)There are significant regional differences in the paths of digitally-empowered development of tourism economy, with the east and central China to quality path mainly and the western China to quantity and quality path mainly;(3)From the dynamic perspective,the quantity-path of tourism digitalization is declining, while the quality-path has become an inevitable choice to support a high-quality sustainable development of tourism economy.

【基金】 国家自然科学基金重点课题“公共治理体系变革创新的理论与机制”(72234004);中央高校基本科研业务经费“国内旅游消费的数字赋能机制及提振对策研究”(2022-11329);江苏高校哲学社会科学研究项目“大数据驱动的城市公共安全风险协同治理机制研究”
  • 【文献出处】 浙江社会科学 ,Zhejiang Social Sciences , 编辑部邮箱 ,2023年06期
  • 【分类号】F49;F592
  • 【下载频次】704
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