RESEARCH ON THE MULTIPLE EFFECTS OF DIGITAL TECHNOLOGY ENABLING THE COUPLING COORDINATED DEVELOPMENT OF TOURISM SUPPLY AND DEMAND

Dan-dan WU, Ren-feng MA, Xue-gang FENG

HUMAN GEOGRAPHY ›› 2025, Vol. 40 ›› Issue (6) : 172-184.

PDF(16096 KB)
PDF(16096 KB)
HUMAN GEOGRAPHY ›› 2025, Vol. 40 ›› Issue (6) : 172-184. DOI: 10.13959/j.issn.1003-2398.2025.06.016
Tourism

RESEARCH ON THE MULTIPLE EFFECTS OF DIGITAL TECHNOLOGY ENABLING THE COUPLING COORDINATED DEVELOPMENT OF TOURISM SUPPLY AND DEMAND

Author information +
History +

Abstract

This study integrates multi-source data to construct panel data of 285 prefecture-level and above cities in China from 2011 to 2019, based on the theory of digital technological innovation and tourism supply and demand coupling coordination, and utilizes the two-way fixed effect model, the panel smoothed transformation regression model and the spatial Durbin model to validate the multi-influence effect of digital technology on the tourism supply-demand coupling coordination. The main findings are as follows: 1) The level of coupling coordination of tourism supply-demand in Chinese cities shows continuous growth. 2) Digital technology significantly promotes the coupling coordinated development of tourism supply-demand, and this influence effect is more prominent in areas with good tourism development and high Internet level. 3) Digital technology has a non-linear incremental effect on the level of tourism supply and demand coupling coordination, and the effect and significance of the influence increases as the level of marketization increases. 4) The spatial Durbin model test found that the improvement of the level of digital technology development not only helps to promote coupling coordinated development of tourism supply and demand in the region, but also promotes the improvement of the level of tourism supply and demand coupling coordination in the neighboring regions through the spatial spillover effect.

Key words

digital technology / coupling coordinated development of tourism supply and demand / nonlinear effect / spatial spillover effect

Cite this article

Download Citations
Dan-dan WU , Ren-feng MA , Xue-gang FENG. RESEARCH ON THE MULTIPLE EFFECTS OF DIGITAL TECHNOLOGY ENABLING THE COUPLING COORDINATED DEVELOPMENT OF TOURISM SUPPLY AND DEMAND[J]. HUMAN GEOGRAPHY. 2025, 40(6): 172-184 https://doi.org/10.13959/j.issn.1003-2398.2025.06.016

References

1
陈曦, 白长虹, 陈晔, 等. 数字治理与高质量旅游目的地服务供给——基于31座中国城市的综合案例研究[J]. 管理世界, 2023, 39(10): 126- 150.
Chen Xi, Bai Changhong, Chen Ye, et al. Digital governance and high-quality tourism destination service supply: A comprehensive case study based on 31 Chinese cities[J]. Management World, 2023, 39(10): 126- 150.
2
吴丹丹, 冯学钢, 马仁锋, 等. 数字经济发展对旅游业全要素生产率的非线性效应[J]. 旅游学刊, 2023, 38(2): 47- 65.
Wu Dandan, Feng Xuegang, Ma Renfeng, et al. Nonlinear effects of digital economy development on tourism total factor productivity[J]. Tourism Tribune, 2023, 38(2): 47- 65.
3
Leiper N. Tourist attraction systems[J]. Annals of Tourism Research, 1990, 17(3): 367- 384.
4
Gunn C A, Turgut V. Tourism Planning: Basics, Concepts, Cases[M]. New York: Rout Ledge, 2002: 1- 36.
5
Mitchell. Research on the Geography of Tourism Travel: A Handbook for Managers and Research[M]. New York: John Wiley & Sons, 1987: 30- 86.
6
牛亚菲. 旅游供给与需求的空间关系研究[J]. 地理学报, 1996, 51(1): 80- 87.
Niu Yafei. Research on the spatial relationship between tourism supply and demand[J]. Acta Geographica Sinica, 1996, 51(1): 80- 87.
7
魏遐, 吴必虎. 峰值期国内旅游市场供需关系研究[J]. 人文地理, 2000, 15(6): 29- 33.
Wei Xia, Wu Bihu. A study on the supply-demand relationship of domestic tourism market in peak period[J]. Human Geography, 2000, 15(6): 29- 33.
8
Tsai H, Kang B, Yeh R J, et al. Examining the hotel room supply and demand in Las Vegas: A simultaneous equations model[J]. International Journal of Hospitality Management, 2006, 25(3): 517- 524.
9
Werner B T, Mcnamara D E. Dynamics of coupled human landscape systems[J]. Geomorphology, 2007, 91(3): 393- 407.
10
Tang Z. An integrated approach to evaluating the coupling coordination between tourism and the environment[J]. Tourism Management, 2015, 46(1): 11- 19.
11
Arbieu U, Grünewald C, Martín-López B, et al. Mismatches between supply and demand in wildlife tourism: Insights for assessing cultural ecosystem services[J]. Ecological Indicators, 2017, 78(3): 282- 291.
12
张春晖, 马耀峰, 吴晶, 等. 供需视角下西部入境旅游流与目的地耦合协调度及其时空分异研究[J]. 经济地理, 2013, 33(10): 174- 181.
Zhang Chunhui, Ma Yaofeng, Wu Jing, et al. Coupling coordination degree between inbound tourist flows and destinations and its spatio-temporal differences in the western region of China[J]. Economic Geography, 2013, 33(10): 174- 181.
13
刘军胜, 马耀峰. 基于发生学与系统论的旅游流与目的地供需耦合成长演化与驱动机制研究[J]. 地理研究, 2017, 36(8): 1583- 1600.
Liu Junsheng, Ma Yaofeng. The evolution and driving mechanism of the supply and demand coupling about tourism flow and destination system based on the genesis and system theory[J]. Geographical Research, 2017, 36(8): 1583- 1600.
14
于洪雁, 王群勇, 张博, 等. 中国旅游供需耦合协调发展的空间分异及驱动机制研究[J]. 地理科学, 2020, 40(11): 1889- 1898.
Yu Hongyan, Wang Qunyong, Zhang Bo, et al. Driving mechanism and the spatial differentiation of coupling coordinated development of tourism supply and demand in China[J]. Scientia Geographica Sinica, 2020, 40(11): 1889- 1898.
15
黄震方, 张子昂, 李涛, 等. 数字赋能文旅深度融合的理论逻辑与研究框架[J]. 旅游科学, 2024, 38(1): 1- 16.
Huang Zhenfang, Zhang Ziang, Li Tao, et al. Digital empowerment for the deep integration of culture and tourism: Theoretical logic and research framework[J]. Tourism Science, 2024, 38(1): 1- 16.
16
Buhalis D, Law R. Progress in information technology and tourism management: 20 years on and 10 years after the Internet[J]. Tourism Management, 2008, 29, 609- 623.
17
Osterlund J, Lawrence B. Virtual reality: Avatars in human spaceflight training[J]. Acta Astronautica, 2012, 71, 139- 150.
18
江小涓, 靳景. 数字技术提升经济效率: 服务分工、产业协同和数实孪生[J]. 管理世界, 2022, 38(12): 9- 26.
Jiang Xiaojuan, Jin Jing. Digital technology promotes economic efficiency: Labor division of service, industrial synergy and digital-real twins[J]. Management World, 2022, 38(12): 9- 26.
19
杨勇. 互联网促进旅游业提质增效了吗?基于我国省级面板数据的实证分析[J]. 旅游学刊, 2020, 35(1): 32- 46.
Yang Yong. Does Internent improve quality and efficiency of China tourism industry? Empirical test based on Chinese provincial data from 2004 to 2014[J]. Tourism Tribune, 2020, 35(1): 32- 46.
20
王兆峰, 彭雯, 陈勤昌. 数字经济赋能旅游产业结构调整优化的影响机制研究[J]. 人文地理, 2024, 39(6): 170- 182.
Wang Zhaofeng, Peng Wen, Chen Qinchang. Research on the influence mechanism of digital economy enabling the structural adjustment and optimization of the tourism industry[J]. Human Geography, 2024, 39(6): 170- 182.
21
Xiang Z, Gretzel U. Role of social media in online travel information search[J]. Tourism Management, 2010, 31(2): 179- 188.
22
吴丹丹, 马仁锋, 郝晨, 等. 数字经济对市域旅游业高质量发展水平的空间效应及机制[J]. 经济地理, 2023, 43(4): 229- 240.
Wu Dandan, Ma Renfeng, Hao Chen, et al. Spatial effect and impact mechanism of digital economy on tourism industry high-quality development in Chinese cities[J]. Economic Geography, 2023, 43(4): 229- 240.
23
Katz M L, Shapiro C. Network externalities, competition, and compatibility[J]. The American Economic Review, 1985, 75(3): 424- 440.
24
Rochet J C, Tirole J. Two-sided markets, a progress report[J]. Rand Journal of Economics, 2006, 37(3): 645- 667.
25
生延超, 李倩, 徐珊. 政府推动抑或市场驱动——中国旅游经济效率提升的动力研究[J]. 旅游学刊, 2022, 37(12): 68- 82.
Sheng Yanchao, Li Qian, Xu Shan. Government impetus or market driven: On the driving force for the economic efficiency of China's regional tourism[J]. Tourism Tribune, 2022, 37(12): 68- 82.
26
王腾飞. 知识流动的隐形壁垒与区域经济高质量发展[M]. 北京: 经济科学出版社, 2024: 75- 98.
Wang Tengfei. Research on the Invisible Barriers of Knowledge Flows and Regional Economic Highquality Development[M]. Beijing: Economic Science Press, 2024: 75- 98.
27
刘震, 杨勇, 眭霞芸. 互联网发展、市场活力激发与旅游经济增长——基于空间溢出视角的分析[J]. 旅游科学, 2022, 36(2): 17- 43.
Liu Zhen, Yang Yong, Sui Xiayun. Internet development, market vitality and tourism economic growth: Based on the perspective of spatial spillover[J]. Tourism Science, 2022, 36(2): 17- 43.
28
马仁锋. 创意阶层集聚与城市空间互塑的理论渊源、逻辑关系与发展进路[J]. 学术论坛, 2022, 45(4): 16- 30.
Ma Renfeng. Review on interaction between creative class agglomeration and urban space evolution[J]. Academic Forum, 2022, 45(4): 16- 30.
29
Fouguau J, Hurlin C, Rabaud I. The Feldstein-Horioka puzzle: A panel smooth transition regression approach[J]. Economic Modelling, 2007, 25(2): 284- 299.

RIGHTS & PERMISSIONS

All rights reserved, without authorization
PDF(16096 KB)

Accesses

Citation

Detail

Sections
Recommended

/