Analysis of Influencing Factors of Tourism Revenue Based on Multiple Linear Regression Model

Na Li, Gang Fang

2022

Abstract

The report of the 20th National Congress of the Communist Party of China points out that "accelerating the high-quality development of culture and tourism, and constantly meet the people's new expectations for a better life". In the new era, people are more eager to live a better life, and tourism is gradually becoming an important channel to enhance people’s sense of well-being. Tourism, as an important part of the tertiary industry, plays a major role in enhancing the overall economy of China. In order to explore the economic factors affecting the development of tourism in China, this paper uses computer technology to conduct numerical simulations to analyse the relationship between the total income of the tourism industry and the per capita disposable income of residents, the number of travel agencies, the number of tourists and other factors in China from 1994 to 2019. Multiple regression analysis, tests and corrections are performed by Econometrics Views. The final model regression results are used to make informative recommendations for the recovery of the tourism industry.

Paper Citation

in Harvard Style

Li N. and Fang G. (2022). Analysis of Influencing Factors of Tourism Revenue Based on Multiple Linear Regression Model. In Proceedings of the 4th International Conference on Economic Management and Model Engineering - Volume 1: ICEMME; ISBN 978-989-758-636-1, SciTePress, pages 270-275. DOI: 10.5220/0012029200003620

in Bibtex Style

@conference{icemme22,
author={Na Li and Gang Fang},
title={Analysis of Influencing Factors of Tourism Revenue Based on Multiple Linear Regression Model},
booktitle={Proceedings of the 4th International Conference on Economic Management and Model Engineering - Volume 1: ICEMME},
year={2022},
pages={270-275},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012029200003620},
isbn={978-989-758-636-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 4th International Conference on Economic Management and Model Engineering - Volume 1: ICEMME
TI - Analysis of Influencing Factors of Tourism Revenue Based on Multiple Linear Regression Model
SN - 978-989-758-636-1
AU - Li N.
AU - Fang G.
PY - 2022
SP - 270
EP - 275
DO - 10.5220/0012029200003620
PB - SciTePress