Proceedings of the 2nd International Academic Conference on Blockchain, Information Technology and Smart Finance (ICBIS 2023)

The Influencing Factors and Empirical Analysis of the Development of Cultural Tourism Industry Integration in Guangxi

Authors
Feng Pan1, Mo Wei2, Xiaoyan Yu1, *
1Liuzhou Vocational and Technical College, Liuzhou, Guangxi, China
2Guangxi Police College, Nanning, Guangxi, China
*Corresponding author. Email: 82252590@qq.com
Corresponding Author
Xiaoyan Yu
Available Online 10 August 2023.
DOI
10.2991/978-94-6463-198-2_148How to use a DOI?
Keywords
Culture and tourism industry; Industrial integration; Influencing factors; Empirical analysis; STATA software
Abstract

This paper mainly adopts the method of combining qualitative and quantitative research to analyze the influencing factors of the integrated development of cultural and tourism industries in Guangxi, and empirically analyze the development level of the integrated industry of cultural and tourism industries. First, it analyzes the current situation of cultural and tourism industries, and then measures and analyzes the integrated development of cultural and tourism industries. It is necessary to explore the issue of measuring the level of industrial integration based on further integration. The research method is based on the statistical data of Guangxi’s cultural and tourism industries from 2010 to 2020. The weight of each index in the evaluation index system of the integration development of Guangxi’s cultural and tourism industries is measured by entropy method, and the evaluation index of the development level of Guangxi’s cultural and tourism industries is analyzed. Then, the development trend and level of both industries are analyzed on this basis. According to the coupling co-scheduling model, the coupling co-scheduling of the development of cultural tourism industry integration is measured, and this indicator can be used to measure the evolution process and change trend of the development level of cultural tourism industry integration. The grey coordination degree model measures the contribution level and grey correlation degree of each index of the cultural tourism subsystem in the cultural tourism integration to the coupling degree, and further analyzes the main indicators that affect the coordination degree of the cultural tourism industry coupling. Among the economic indicators, the proportion of tourism income to GDP, the number of libraries in the cultural industry and other six indicators are key indicators that affect the development of the cultural tourism industry integration, The input of factors should be increased. The paper makes empirical analysis on the development level of cultural tourism industry integration, and provides quantitative support for improving the development strategy of cultural tourism industry integration in Guangxi.

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.

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Volume Title
Proceedings of the 2nd International Academic Conference on Blockchain, Information Technology and Smart Finance (ICBIS 2023)
Series
Atlantis Highlights in Computer Sciences
Publication Date
10 August 2023
ISBN
10.2991/978-94-6463-198-2_148
ISSN
2589-4900
DOI
10.2991/978-94-6463-198-2_148How 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

TY  - CONF
AU  - Feng Pan
AU  - Mo Wei
AU  - Xiaoyan Yu
PY  - 2023
DA  - 2023/08/10
TI  - The Influencing Factors and Empirical Analysis of the Development of Cultural Tourism Industry Integration in Guangxi
BT  - Proceedings of the 2nd International Academic Conference on Blockchain, Information Technology and Smart Finance (ICBIS 2023)
PB  - Atlantis Press
SP  - 1422
EP  - 1441
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-198-2_148
DO  - 10.2991/978-94-6463-198-2_148
ID  - Pan2023
ER  -