期刊
SUSTAINABILITY
卷 15, 期 1, 页码 -出版社
MDPI
DOI: 10.3390/su15010222
关键词
coronavirus; health-related aspects of sustainability; health policy; economic sphere; political and institutional determinants; financial and budgetary determinants
The research investigates the coronavirus pandemic as a risk factor for sustainable state development in terms of health and safety. It aims to determine the causal relationships between key aspects of society: economic, financial-budgetary, and political-institutional. The study suggests that these spheres have an influence on each other, particularly during significant shifts like health threats and transformations in the public health system. Using canonical regression analysis, the authors evaluate the impact of a group of indicators and analyze their correlations. By identifying these interdependencies, it becomes possible to predict the future state of various industries. The findings reveal that there were no significant changes between the analyzed components of a country's development before and after the pandemic, implying that long-term forecasting can be based on the degree of interrelationships between specific areas of development.
The authors investigated the coronavirus pandemic as a health and safety risk factor for sustainable state development. The main purpose is to determine the cause-and-effect relationships between the key spheres of society life: economic, financial-budgetary, political--institutional. The authors hypothesize that these spheres influence each other and that this influence becomes more obvious and important to consider during significant shifts such as health threats and transformations in the public health system. As part of the calculations, the methodology of canonical regression analysis was used, which made it possible to evaluate the influence of a set of indicators using the construction of a correlation matrix. Aggregation of the complex of development indicators for each direction was carried out, and their mutual influence and degree of importance within each group of indicators was determined. The identified interdependencies are valuable for predicting the state of various industries in the future. It was concluded that there were no significant changes between the indicators of the analyzed components of a country's development in the pre-and post-pandemic period. This makes it possible to state with a high probability that forecasting in the long-term perspective of a country's development is possible based on the degree of interrelationships between the indicators of individual areas of development. Forecasting can also be based on the trends occurring in a specific related field to correct the upward or downward movement of a particular indicator, and to change the functioning of the complex system under the influence of threats to public health.
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