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For a long time it has been a well-known and proven fact that economic growth of a country contributes to improvement of the health status of population. There is at the same time another type of opposite relationship starting from health status and pointing to the performance of economy. In our study, besides giving a general presentation of the health situation in Hungary, we examined the direction and strength of the relations between health and economic indicators and the inequalities that can be identified between the different regions with help of statistical methods. Another objective of the study was to examine the factors influencing mortality, and to develop a multiple linear regression equation to estimate the degree of mortality at a confidence interval of 95%. The results could provide a good basis to determine the intervention points necessary to alleviate and improve the economic burden of bad health status and diseases.
It is a general socio-political objective of the mid- and long term food industry development strategy of Hungary to promote healthy food production and consumption. The realization of the strategy of the domestic food industry increasingly promotes healthy eating, for example consuming natural, domestic, fresh ingredients, prepared foods, in order to improve the overall health of the population (EFS, 2014-2020). Our study presents the regional tendencies of staple food consumption in Hungarian regions and the changes in indicators reflecting the health status of the population. Furthermore, our hypothesis states that there is a statistically provable correlation between the annual food consumption of Hungarian households per capita and the health status, on regional level.
This paper examines the causal relationship between nutrition intake, health status, education and economic growth within a six-variate VEC framework, forecast error variance decomposition and impulse response function techniques, covering the period from 1990 to 2013, using quarterly data in Nigeria. This paper includes control variables in order to eliminate variable omission bias, unlike most existing studies. The results suggest the presence of long-run, bicausal relationships between the candidate variables of the study. In addition, the short-run unidirectional causal relationships are found between main variables, including a causal relationship running from nutrition and fiscal policy to education, as well as a causal link running from education and economic growth to health status. These findings support the existing theories. The results based on the model and empirical data suggest that the government should allocate more resources to human development in order to enhance productivity and boost economic growth. Similarly, there is a need to design adequate mechanisms to ensure proper allocation of the limited resources and avoid their embezzlement by corrupt government officials.
components. Their important sub-areas are health,
financial situation, income situations, housing and social relationship.
Quality of life studies are the most frequent health-related research
studies, the most remarkable results have been achieved here. Health-
related quality of life is one of the most important and maybe the most
frequently researched dimension of quality of life showing how much
healthstatus contributes to the welfare of the individuals. The primary
objective of the research studies the improvement of the healthstatus of
the population and
2013. New York: Sustainable Development Solutions Network. A Global Initiative for the United Nations. Hilleras, Pernilla. K., Hedda Aguero-Torres, and Bengt Winblad. 2001. Factors Influencing Well-Being in the Elderly. Current Opinion in Psychiatry 14(4): 361–365. Hsu, Hui-Chuan. 2012. Trajectories and Covariates of Life Satisfaction Among Older Adults in Taiwan. Archives of Gerontology and Geriatrics 55(1): 210–216. Johnson, Robert J. and Fredric D. Wolinsky. 1993. The Structure of HealthStatus Among Older Adults: Disease, Disability, Functional Limitation
, D. B., Chambers, J. Q., Shugart, H. H., Hurtt, G. C., 2009: Forest disturbance and recovery: A general review in the context of spaceborne remote sensing of impacts on aboveground biomass and canopy structure. Journal of Geophysical Research, 114:3–27. Goldberg, M., Goodenough, D. G., Alvo, M., Karam, G. M., 1985: A hierarchical expert system for updating forestry maps with Landsat data. In: Proceedings of the IEEE, 73:1054–1063. Gross, C. P., 2000: Remote sensing application for forest healthstatus assessment. 2nd edition, Commission of the European Communities