Background: Global health crisis continues to drive the dynamics of corporate social responsibility (CSR) across industries with self-perpetuating momentum. From a historical point of view, more than a century of immense corporate fecundity has formed the ecological conditions and shaped current understanding of the effect of public health on CSR. This study sought to examine the extent to which companies are able to balance their business interest with social interest through health-related CSR and how knowledge of them can help explain the potential impact of COVID-19. Method: This study employs a narrative review of current literature; however, the integrative strategy was combined with the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) checklist to rigorously select the necessary articles for proper integrative synthesis. Results: We note that in the pursuit of their social responsibility, corporate enterprises struggle to balance the interest of society and their own interest. Genuine CSR activities such as donations are often undermined by unbridled and excessive desire to draw society on themselves to reap economic benefits are largely dominated by the need to advance. There are signals that enterprises might see COVID-19-related CSR as an entry door to increase corporate influence thereby commercializing the pandemic. Conclusions: The impact of COVID-19 on CSR is epochal. There is a moral obligation for enterprises to reform current risk assessments and collaborate more deeply with state agencies to invest in the health and safety inspections at the world place. CSR strategies must be proactive to endure other unknown pandemics with equal capacity to disrupt business operations. Companies must create innovative and regular activities to educate its stakeholders to become more committed to safeguarding future enterprise-based defense mechanism needed to diagnose, protect, treat, and rehabilitate victims and those threatened by pandemics and other emergencies that affect the stability of an organization to reduce its cost and protect revenue.

Background: The ageing of the population has become an escalating problem in China, which has led to an increasing demand for healthcare throughout society. The care services of elderly institutions, as a more mature way of aging, can alleviate various social problems brought about by ageing to a certain extent. The aim of this paper is to explore the degree of acceptance of institutional care by rural elderly people in Shandong Province and the factors that influence whether rural elderly people accept institutional care services. Methodology: Based on the theory of planned behavior, an analytical framework was constructed for the willingness of rural elderly people to receive nursing services from elderly care institutions. Using survey data from 192 rural elderly people in Shandong Province, descriptive statistics, binary logistic regression, and horizontal comparative analysis methods were used to analyze the willingness of rural elderly people to provide for the elderly and its influencing factors. Result: Only 17.71% of respondents expressed willingness to receive services from elderly care institutions. Among them, education level, trust in elderly care institutions, and support from adult children have a significant positive impact on whether rural elderly people receive nursing services from elderly care institutions; The number of children, the level of understanding of elderly care institutions, neighbors' choices of elderly care methods, and their ability to contribute to the family have a significant negative impact on whether rural elderly people receive nursing services from elderly care institutions. There are significant differences in the willingness and influencing factors of rural elderly people to provide for the elderly among different regions. Conclusion: The non-acceptance of institutional care by rural older people is a general phenomenon rather than a sample characteristic, thus justifying the supplementary status of institutional care services. The pension intention of the rural elderly in Shandong Province is obviously affected by personal will factors, and the influencing factors are various. The traditional concept of old-age care in Shandong province has a strong path-dependent effect on the choice of the rural elderly. There is heterogeneity in the willingness and influencing factors of the rural elderly in different regions and countries. Based on this, this paper puts forward the following suggestions: strengthen the spiritual and cultural construction of residents; The government should pay attention to the correct guidance of public opinion; And increase pension subsidies. It is hoped that reduce the burden of national elderly care through these suggestions.

This study aims to discuss the relationship between personal endowment and social welfare on the health status of the rural-to-urban elderly migrants. It constructed the theoretical framework of the health vulnerability of rural-to-urban elderly migrants. The health status of rural-to-urban elderly migrants was divided into three dimensions: physical health, mental health, and social adaptation. A total of 658 rural-to-urban elderly migrants in 12 cities of Jiangsu province were selected as samples for empirical test and analyzed the influence of individual endowments and social welfare on the health status of rural-to-urban elderly migrants and their differences. The result shows that personal ability affects the social adaptation ability of rural-to-urban elderly migrants, and social welfare has a significant influence on the physical and mental health of rural-to-urban elderly migrants. Lacking the learning ability of rural-to-urban elderly migrants in sample areas is the main factor that leads to their low social adaptation ability and the unequal social welfare and public services restricting the physiological and mental health status of rural-to-urban elderly migrants.

Despite the positive effect of industrialisation on health and quality of life indicators across the globe, it is also responsible for the release of chemical toxins into the environment. Thus, the pursuit of economic development through industrialisation has equally nurtured numerous environmental disasters with accompanying catastrophic health effects. China is one of the countries with high carbon emissions, but new policy changes have resulted in massive gains in controlling environmental damage while enhancing the environment-related quality of life. This paper combines the six-step integrative review strategy with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) strategy to determine appropriate exclusion and inclusion criteria to explore the available stock of literature. We note that overall pollution in China fell by 10% between 2014 and 2019 whereas the average fine particulate matter (PM2.5) concentration of 93 micrograms per cubic meter reduced by 47% by 2019. Beijing exhibited the top 200 most polluted cities in 2019 after recording the lowest PM2.5 ever. All cities that implemented the 2012 Environmental Air Quality Standards reduced the average concentration of PM2.5 and sulfur dioxide by 42–68% by the end of 2018. Improvements in freshwater quality and a decline in water pollution levels were recorded despite increases in economic growth, urbanisation, energy use, trade openness, and agriculture, all of which are major stimulants of pollution. Deterring environmental tariff, tight ecological inspections, closing down of non-compliant producers, heavy investment in environmental control, and the ambitious five year-plan to revitalise renewable energy goals emanating from China’s ecological civilisation masterplan are responsible for these improvements in air and water pollution. China needs to work more aggressively to consolidate the gains already made in order to quicken the actualisation of the ecological civilisation and beautiful China dream.

Numerous factors, including inefficient utilization of healthcare resources have been attributed to the poor health outcome. The study aims to compare the efficiency of health expenses and its determining factors in the emerging economies based on their income levels. Data for the study is extracted from the World Bank’s World Development Indicators for 21 countries covering the period of 2000 to 2018. Analysis of the research involves two stages. Stage one computes the efficiency scores, whereas second stage examines factors affecting health efficiency by employing the Tobit regression and Simar-Wilson regression test to confirm the results. The Tobit result shows that research and development (R&D) and physicians enhanced health efficiency at the main panel, lower-middle-income, upper-middle-income, and high-income countries. Corruption remained negative with education showing mixed results. The interaction between research and development and physicians increases health efficiency in all the panels. Health research must be a policy focus if efficiency is to be achieved by the emerging economies.

The outbreak of the coronavirus disease 2019 (COVID-19) represents an alert for epidemic prevention and control in public health. Offline anti-epidemic work is the main battlefield of epidemic prevention and control. However, online epidemic information prevention and control cannot be ignored. The aim of this study was to identify reliable information sources and false epidemic information, as well as early warnings of public opinion about epidemic information that may affect social stability and endanger the people’s lives and property. Based on the analysis of health and medical big data, epidemic information screening and public opinion prevention and control research were decomposed into two modules. Eight characteristics were extracted from the four levels of coarse granularity, fine granularity, emotional tendency, and publisher behavior, and another regulatory feature was added, to build a false epidemic information identification model. Five early warning indicators of public opinion were selected from the macro level and the micro level to construct the early warning model of public opinion about epidemic information. Finally, an empirical analysis on COVID-19 information was conducted using big data analysis technology.