ArticleRisk management and healthcare policy2020
A Policy Category Analysis Model for Tourism Promotion in China During the COVID-19 Pandemic Based on Data Mining and Binary Regression.
Article in Risk management and healthcare policy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 35 citations in OpenAlex.
- Exploring the Interplay between Stress Perception and Approach-Avoidance Achievement Goal Orientation among Rural Students in College: A Longitudinal Study in China.Behavioral sciences (Basel, Switzerland) · 2024Article
- Review of the impacts of COVID-19 pandemic on the employment of college graduates in China and countermeasures to it.Frontiers in public health · 2024Review
- Enterprise Operational Resilience with Digitalization Approach amid the COVID-19 Era: An Empirical Assessment.Journal of environmental and public health · 2022Article
- Modeling, simulation, and case analysis of COVID-19 over network public opinion formation with individual internal factors and external information characteristics.Concurrency and computation : practice & experience · 2021Article
- Analysis of Social Effects on Employment Promotion Policies for College Graduates Based on Data Mining for Online Use Review in China during the COVID-19 Pandemic.Healthcare (Basel, Switzerland) · 2021Article
- The Impact of COVID-19 on Consumers' Psychological Behavior Based on Data Mining for Online User Comments in the Catering Industry in China.International journal of environmental research and public health · 2021Article
- Combining Public Opinion Dissemination with Polarization Process Considering Individual Heterogeneity.Healthcare (Basel, Switzerland) · 2021Article
- Modeling Multidimensional Public Opinion Polarization Process under the Context of Derived Topics.International journal of environmental research and public health · 2021Article
- Bibliometric Analysis of Post Covid-19 Management Strategies and Policies in Hospitality and Tourism.Frontiers in psychology · 2021Review
- Propagation Model of Panic Buying Under the Sudden Epidemic.Frontiers in public health · 2021Article
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND AND
aimAt 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.
methodsTargeted as the social effect with the implementation of tourism promotion policy during the COVID-19 pandemic, this paper briefly analyzes the impact of COVID-19 on the national cultural and tourism industry and selects several representative types of tourism policies, crawls the comment data of Weibo users, analyzes users' perception and emotional preference to the policy, and thus mines the social effect of various policies. Subsequently, by identifying the social effects of various policies as dependent variables, a binary logistic regression model is constructed to obtain the best combination of tourism promotion policies and promote the rapid revitalization of the cultural and tourism industry.
resultsThe results show that from the single policy, the social effect of the "safety" policy is the best. From the perspective of combination policies, the simultaneous release of "safety" policies and "economy" policies have the greatest social impact, which can dramatically accelerate the recovery of the cultural and tourism industry. Finally, this paper proposes suggestions for policy formulation to improve the ability of the cultural tourism industry to cope with crisis events.
conclusionThese results explain the perceived effects of the public on the government policies and can be used to judge whether the policies have been released in place. Based on the above results, corresponding suggestions are proposed as follows: 1) the combination of economic policies and security policies can achieve better results; and 2) the role of "opinion leaders" can be played to improve the perceived effect of policies.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.