Proceedings of the 2024 5th International Conference on Big Data and Social Sciences (ICBDSS 2024)

Research on the Impact of Fiscal Policy on Rural Tourism Development in Guangxi Based on DID Model Analysis in the Background of Big Data

Authors
Jun Zheng1, Wenji Li1, *
1Guangxi Vocational Normal University, Nanning, Guangxi, China
*Corresponding author. Email: 1129717379@qq.com
Corresponding Author
Wenji Li
Available Online 13 November 2024.
DOI
10.2991/978-94-6463-562-1_9How to use a DOI?
Keywords
Rural tourism; Fiscal policy; Performance evaluation; Big data and AI technology
Abstract

Big data technology optimises the allocation of rural tourism resources, improves precision marketing and enhances the sustainable development of rural tourism; fiscal policy promotes the development of rural tourism, rural tourism increases farmers’ income and promotes the development of the local economy, and rural tourism has become an important force for rural revitalisation. In this paper, when studying the relationship between rural tourism and fiscal policy support in Guangxi, we find that there are problems such as weak fiscal support, lack of systematic fiscal policy, and lagging performance evaluation and supervision. Using the DID method, the relationship between fiscal policy and tourism development is verified by analysing the changes in Guangxi’s tourism revenue before and after the implementation of fiscal policy, and policy suggestions are put forward to increase fiscal input, improve the fiscal policy system, increase tax and financial support, increase the use of AI and big data in rural tourism, strengthen the construction of a modern tourism talent team, and strengthen the performance evaluation of fiscal and tax policies.

Copyright
© 2024 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 2024 5th International Conference on Big Data and Social Sciences (ICBDSS 2024)
Series
Advances in Computer Science Research
Publication Date
13 November 2024
ISBN
978-94-6463-562-1
ISSN
2352-538X
DOI
10.2991/978-94-6463-562-1_9How to use a DOI?
Copyright
© 2024 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  - Jun Zheng
AU  - Wenji Li
PY  - 2024
DA  - 2024/11/13
TI  - Research on the Impact of Fiscal Policy on Rural Tourism Development in Guangxi Based on DID Model Analysis in the Background of Big Data
BT  - Proceedings of the 2024 5th International Conference on Big Data and Social Sciences (ICBDSS 2024)
PB  - Atlantis Press
SP  - 93
EP  - 101
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-562-1_9
DO  - 10.2991/978-94-6463-562-1_9
ID  - Zheng2024
ER  -