Business Cycle and Public Health
The Moderating Role of Health Education and Digital Economy
Dados Bibliográficos
| ID | 22077482 |
|---|---|
| Autores | Xing Zhang (0000-0002-0796-4940, Renmin University of China), Yingying Xu (0000-0001-8488-0399, University of Science and Technology Beijing, autor correspondente) |
| Ano | 2022 |
| Volume | 9 |
| Páginas | 793404-793404 |
| Data de publicação | 2022-01-11 |
| Peer Reviewed | Sim |
| Open Access | Sim |
| Tipo | ARTICLE |
| Periódico | Frontiers in Public Health (JOURNAL) |
| Identificadores do periódico | ISSN: 2296-2565 • E-ISSN: 2296-2565 |
| Editora | Frontiers Media SA (PUBLISHER • CH) |
| DOI | 10.3389/fpubh.2021.793404 |
| PMID | 35087786 |
| OpenAlex | W4210290591 |
| Idioma | EN |
| Citações recebidas | 3 |
| Referências citadas | 63 |
The cyclicality of public health in the emerging market is underexplored in existing literature. In this study, we used a fixed effect model and provincial data to document how public health varies with the business cycle in China over the period of 2010–2019. The estimated results showed that the business cycle is negatively correlated with the mortality of infectious disease, a proxy variable of public health, thus indicating that public health exhibits a countercyclical pattern in China. Furthermore, we investigated the potential moderating role of public health education and digital economy development in the relationship between business cycle and public health. Our findings suggested that public health education and digital economy development can mitigate the damage of economic conditions on public health in China. Health education helps the public obtain more professional knowledge about diseases and then induces effective preventions. Compared with traditional economic growth, digital economy development can avoid environmental pollution which affects public health. Also, it ensures that state-of-the-art medical services are available for the public through e-health. In addition, digitalization assures that remote working is practicable and reduces close contact during epidemics such as COVID-19. The conclusions stand when subjected to several endogeneity and robustness checks. Therefore, the paper implies that these improvements in public health education and digitalization can help the government in promoting public health
Business · Business cycle · Economic growth · Economics · Endogeneity · Environmental health · Health care · Health education · International health · Political science · Public health · Employment and Welfare Studies · Global Health Care Issues · Health disparities and outcomes · Medicine · Nursing · Health Policy
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The dynamic effect of eco-innovation and environmental taxes on carbon neutrality target in emerging seven (E7) economies
Digital technology and Covid-19
Covid-19 and Health Care’s Digital Revolution
Health literacy as a public health goal
Some Tests of Specification for Panel Data
Another look at the instrumental variable estimation of error-components models
Initial conditions and moment restrictions in dynamic panel data models
Impact of Public Health Education Program on the Novel Coronavirus Outbreak in the United States
Public Opinion and Expectations
Threshold Effect of the Government Intervention in the Relationship Between Business Cycle and Population Health
Asymmetric Effect of Business Cycles on Population Health
How Do Economic Fluctuations Affect the Mortality of Infectious Diseases
Preparedness of medical education in China
Newborn health and the business cycle
The public health impact of economic fluctuations in a Latin American country
H1N1 influenza and the Australian macroeconomy
Three-dimensional printing in the fight against novel virus Covid-19
Macroeconomic fluctuations and mortality in postwar Japan
Are recessions really good for your health? Evidence from Canada
Economic growth and health progress in England and Wales
Mortality and business cycles by level of development
| Obras citantes distintas | 3 |
|---|---|
| Citações por ano | 0,75 |
| Intervalo de citações | 2022 - 2025 (4) |
| Velocidade de citação | recent |
| Altamente citado | Não |
| Tipos de citação | Neutras: 3 |