Academic Journal of Business & Management, 2022, 4(8); doi: 10.25236/AJBM.2022.040804.
Xin Jin1, Youzhe Wang2, Jian Luo1, Qunli Sun1
1School of Finance and Taxation, Zhongnan University of Economics and Law, Wuhan, 430073, China
2Business School, Guilin University of Electronic Science and Technology, Guilin, 541010, China
The outbreak of the new crown epidemic has had a serious impact on the development of the tourism industry. Although the development of the tourism industry has recovered in the post-epidemic period, some people still have concerns about the development prospects of the tourism industry. This paper uses the multiple regression model and the GM (2,1) model for analysis. The basic indicators of the tourism industry include: tourism foreign exchange income, domestic tourism number, domestic tourism revenue, domestic travel agency number, domestic tourism agency employment, domestic tourism industry. The number of colleges and universities and the number of foreign inbound tourists. Quantitative analysis of tourism "fundamentals" by means of descriptive statistics. Then, the mathematical models of the "fundamentals" of the tourism industry are respectively constructed, and then the GM(2,1) model is used to predict the development of the "fundamentals" in the next three years , and relevant conclusions and suggestions are put forward.
post-epidemic period; tourism industry; multiple regression model; GM (2.1) model
Xin Jin, Youzhe Wang, Jian Luo, Qunli Sun. Research on the Development of Tourism Industry in the Post-Epidemic Period——Analysis Based on Multiple Regression Model GM(2,1) Model. Academic Journal of Business & Management (2022) Vol. 4, Issue 8: 27-36. https://doi.org/10.25236/AJBM.2022.040804.
[1] Huang Xueying. The impact of the new crown pneumonia epidemic on tourism and coping strategies [N]. China Tourism News, 2020(03).
[2] Dang Hongyan. The evolution mechanism and coping strategies of tourism crisis in major epidemics [J] .Macroeconomic Management, 2020(05):43-50.
[3] Liu Haolong, Ge Quansheng, Xi Jianchao. Disaster Risk Assessment of Regional Tourism Resources——Example of Hexigten Banner, Inner Mongolia [J]. Resource Science, 2007 (01): 118-125.
[4] Wu Shaozhong, Li Shuhua. Research on the early warning mechanism of Internet public opinion [J]. Journal of the People's Public Security University of China (Natural Science Edition), 2008(03): 38-42.
[5] Zeng Runxi, Xu Xiaolin. Network Public Opinion Emergency Early Warning System, Indicators and Mechanisms [J].Intelligence Journal, 2009, 28(11):52-54.
[6] Si Shoukui, Sun Zhaoliang. Mathematical Modeling Algorithms and Applications (Second Edition) [M]. Beijing: National Defense Industry Press, 2017.4.
[7] Lou Shuntian, Hu Changhua, etc. System Analysis and Design Based on MATLAB [M]. Xi'an: Xidian University Press, 2001.9.
[8] Jianping Li, Yuyao Feng, Guowen Li, Xiaolei Sun. Tourism companies' risk exposures on text disclosure[J]. Elsevier Ltd, 2020, 84.
[9] Jun She, Jinjun Jiang, Ling Ye, Lijuan Hu, Chunxue Bai, Yuanlin Song. 2019 novel coronavirus of pneumonia in Wuhan, China: emerging attack and management strategies [J]. Springer Berlin Heidelberg, 2020, 9.
[10] Healy Teleah Joy, Hill Nicholas James, Chin Andrew, Barnett Adam. A global review of elasmobranch tourism activities, management and risk [J]. Elsevier Ltd, 2020, 118.