Proceedings of the 2022 2nd International Conference on Public Management and Intelligent Society (PMIS 2022)

<Previous Article In Volume
Next Article In Volume>

Studying the Influencing Factors of Tourism Economy Among Provinces in Mainland China in the Context of Big Data Based on Spatial Econometric Analysis

Authors
Yuting Wang1, Wen-Tsao Pan1, *, Yanmei Liang1, Han Lv1, Wenjing Dai1
1School of Business, Guangdong University of Foreign Studies, Guangzhou, 510420, China
*Corresponding author. Email: 201630021@oamail.gdufs.edu.cn
Corresponding Author
Wen-Tsao Pan
Available Online 7 December 2022.
DOI
10.2991/978-94-6463-016-9_45How to use a DOI?
Keywords
tourism efficiency; spatial econometric model; COVID-19 Pandemic
Abstract

At the end of 2019, the new crown epidemic spread from a local outbreak to the whole country, causing a huge impact on the tourism industry everywhere. With limited resources, in order to effectively improve the tourism industry input-output ratio, this paper uses a spatial econometric model based on Geoda software to assess the development of tourism efficiency across the country during 2015–2019. The results show that: the number of travel agencies and the number of people working in the tourism industry in the context of the epidemic have a greater impact on tourism efficiency; there is a spatial correlation between tourism efficiency in China, and tourism efficiency is highest in the eastern region. This paper provides a way for provinces to use tourism information data more efficiently, which has practical significance for the development of regionalization and informationization of tourism.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the 2022 2nd International Conference on Public Management and Intelligent Society (PMIS 2022)
Series
Atlantis Highlights in Computer Sciences
Publication Date
7 December 2022
ISBN
978-94-6463-016-9
ISSN
2589-4900
DOI
10.2991/978-94-6463-016-9_45How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Yuting Wang
AU  - Wen-Tsao Pan
AU  - Yanmei Liang
AU  - Han Lv
AU  - Wenjing Dai
PY  - 2022
DA  - 2022/12/07
TI  - Studying the Influencing Factors of Tourism Economy Among Provinces in Mainland China in the Context of Big Data Based on Spatial Econometric Analysis
BT  - Proceedings of the 2022 2nd International Conference on Public Management and Intelligent Society (PMIS 2022)
PB  - Atlantis Press
SP  - 427
EP  - 435
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-016-9_45
DO  - 10.2991/978-94-6463-016-9_45
ID  - Wang2022
ER  -