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数字技术与中国旅游全要素生产率——基于非线性与异质性的考量

Digital Technology and Tourism Total Factor Productivity in China:A Nonlinear Studywith Heterogeneous Consideration

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【作者】 冀雁龙; 李金叶;

【Author】 JI Yan-long;LI Jin-ye;School of Economics and Management, Xinjiang University;School of Yungangology, Shanxi Datong University;

【机构】 新疆大学经济与管理学院; 山西大同大学云冈学学院;

【摘要】 文章选取2013—2020年中国省级面板数据,通过使用固定效应非线性模型、调节效应模型,实证检验了数字技术对旅游全要素生产率的影响。研究发现:数字技术影响旅游全要素生产率呈现先抑制后促进的“U”型变化趋势,且主要通过技术进步发挥作用;进一步研究发现:数字技术通过旅游经济增长、旅游产业结构升级的正向调节作用对旅游全要素生产率产生“U”型影响。异质性分析表明:数字技术对旅游全要素生产率影响的“U”型关系仅存在于旅游景区禀赋较低地区、高技术创新水平地区以及东部地区。

【Abstract】 Based on Chinese provincial panel data from 2013 to 2020, this paper empirically tests the impact of digital technology on tourism total factor productivitythrough a combination of fixed effect nonlinear estimation and moderating effect model. It is found that digital technology affects tourism total factor productivity in a "U"-shaped trend of first inhibiting and then promoting, and it mainly works through technological progress; further research finds that digital technology positively regulates tourism total factor productivity through tourism economic growth and tourism industry structure upgrading. It is further found that digital technology has a "U"-shape impact on tourism total factor productivity through the positive regulation of tourism economic growth and tourism industry structure upgrading. The heterogeneity analysis shows that the "U"-shaped relationship of digital technology on tourism total factor productivity exists only in regions with low endowment of tourist attractions, high level of technological innovation and eastern regions.

【基金】 国家自然科学基金项目(71964032);新疆维吾尔自治区社会科学项目(19BJL028)
  • 【文献出处】 技术经济与管理研究 ,Journal of Technical Economics & Management , 编辑部邮箱 ,2022年11期
  • 【分类号】F592;F49
  • 【下载频次】168
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