旅游经济与管理

省域数字经济与旅游业高质量发展耦合协调及驱动因素

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  • 贵州财经大学 工商管理学院,中国贵州 贵阳 550025
舒小林(1974—),男,博士,教授,硕士生导师,研究方向为旅游经济与管理。E-mail:422428501@qq.com
※闵浙思(1998—),女,硕士研究生,研究方向为旅游与数字经济。E-mail:minzhesi@163.com

收稿日期: 2023-06-09

  修回日期: 2023-11-10

  网络出版日期: 2024-06-03

基金资助

国家社会科学基金项目(19BJL055); 2021年度贵州省社会科学创新团队“资源型城市旅游产业化”核心成员资助项目; 贵州省高等学校智慧旅游创新团队(黔教技[2022]017号)成员资助项目

Coupling Coordination Between Digital Economy and Tourism High-quality Development at the Provincial Level and Its Driving Factors

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  • School of Business Management,Guizhou University of Finance and Economics,Guiyang 550025,Guizhou,China

Received date: 2023-06-09

  Revised date: 2023-11-10

  Online published: 2024-06-03

摘要

数字经济赋能旅游业高质量发展,旅游业高质量发展倒逼和驱动数字经济新动能释放。在梳理数字经济和旅游业高质量发展耦合机理基础上,基于2011—2019年中国30个省域的面板数据,采用耦合协调度探究数字经济与旅游业高质量发展的耦合协调时空演化,运用障碍度模型与面板Tobit模型诊断2个系统的障碍因子,探析外部影响因素。研究发现:①2011—2019年,数字经济与旅游业高质量发展的综合评价指数总体上均呈现动态增长态势,且皆由最初“沿海高,中西部低”差异分布转变为“中间高,南北两端低”差异分布。②2011—2019年,数字经济与旅游业高质量发展协调度整体上渐趋优化,但与优质协调差距较大,耦合协调度空间分布格局呈现出“‘东中西+T字形’→‘南北两端+T字形’→‘南北两端+中间地带+T字形’”的演化过程。③大多省域数字经济和旅游业高质量发展子系统的前3位指标层障碍因子相同,中西部地区及中间地带、南北两端准则层障碍度排序为数字化创新>数字化发展>数字化基础,东部地区和“T字形”地带为数字化发展>数字化创新>数字化基础。经济发展水平、产业结构、交通可达性、对外开放度、教育水平正向影响2个系统的协调发展,城镇化进程为负向影响,各影响因素回归系数皆为东部>中部>西部,“T字形”地带>中间地带>南北两端。

本文引用格式

舒小林, 闵浙思, 郭向阳, 何亚兰, 张倩兮 . 省域数字经济与旅游业高质量发展耦合协调及驱动因素[J]. 经济地理, 2024 , 44(1) : 197 -208 . DOI: 10.15957/j.cnki.jjdl.2024.01.020

Abstract

The digital economy empowers the tourism high-quality development,the tourism high-quality development forces and drives the release of new dynamics of the digital economy. Based on the panel data of 30 provincial-level regions of China in 2011-2019,this study sorts out the coupling mechanism between digital economy and tourism high-quality development,and explores the coupling coordination evolutionary of digital economy and tourism high-quality development by the means of the coupling coordination degree. It uses the methods of the obstacle degree model and panel Tobit model to diagnose the obstacle factors and analyze the external influencing factors of the two systems,respectively. It's found that: 1) From 2011 to 2019,the comprehensive evaluation indexes of digital economy and tourism high-quality development both show dynamic growth in general,and both change from the "higher in coastal region and lower in central and western regions" distribution to "higher in the middle region and lower in the north and south of China" distribution. 2) From 2011 to 2019,the overall coordination degree between tourism high-quality development and digital economy tends to be optimized,but it has the gap to reach the high-quality coordination,and the spatial distribution pattern of coupling coordination degree shows dynamic evolution which is from the "higher in eastern region,lower in western region and T-shaped" distribution characteristics,"lower in the north and south of China and T-shaped " distribution characteristics to "lower in the north and south of China,higher in the middle region and T-shaped" distribution characteristics. 3) Most provincial-level regions have the same obstacle factors in the top three indicator layers of two subsystems,the rank of obstacle degrees from high value to low value is digital innovation,digital development and digital foundation respectively in the central and western regions,the middle zone and the north and south of China. In the eastern region and the "T-shaped" zone,the rank of obstacle degrees from high value to low value is digital development,digital innovation and digital foundation. 4) The level of economic development,industrial structure,traffic accessibility,openness to the outside world,and education level positively influence the coordinated development of the two systems,while the urbanization process negatively influences the development of the two systems,the rank of the regression coefficients of all influencing factors from high value to low value is the eastern region,the central region,the western region,the T-shaped zone,the middle zone,the north and south of China.

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