Open AccessA Policy Category Analysis Model for Tourism Promotion in China During the COVID-19 Pandemic Based on Data Mining and Binary Regression
Author(s) -
Tinggui Chen,
Lijuan Peng,
Xiaohua Yin,
Bailu Jing,
Jianjun Yang,
Guodong Cong,
Gongfa Li
Publication year - 2020
Publication title -
risk management and healthcare policy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.828
H-Index - 22
ISSN - 1179-1594
DOI - 10.2147/rmhp.s284564
Subject(s) - tourism , promotion (chess) , government (linguistics) , business , incentive , public policy , marketing , public economics , economics , economic growth , political science , politics , philosophy , linguistics , law , microeconomics
At the end of 2019, the outbreak of COVID-19 had a significant impact on China's tourism industry, which was almost at a standstill in the short-term. After reaching the preliminarily stable state, the government and the scenic area management department implemented a series of incentive policies in order to speed up the recovery of the tourism industry. Therefore, analyzing all sorts of social effects after policy implementation is of guiding significance for the government and the scenic areas.