Changes in the system of country’s population health care depending on the level of providing affordable housing
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DOIhttp://dx.doi.org/10.21511/ppm.20(3).2022.18
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Article InfoVolume 20 2022, Issue #3, pp. 215-232
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This paper is devoted to providing affordable housing as a significant factor in public health management, inclusive growth, and SDG. The purpose is to empirically prove changes in the system of country’s population health care depending on the level of providing affordable housing. The empirical base includes time series and panel data for 27 EU countries during 2011–2019. Due to correlation analysis (Shapiro-Wilk testing, Spearman or Pearson correlation, lags in time), regression analysis, and building a dynamic panel estimation model with Sargan testing in STATA, the study empirically confirmed and formalized the impact of affordable housing funding on changes in the system of country’s population health care. In particular, the study found the dependence between overcrowding level and the share of homeowners with mortgages (a decrease of overcrowding level by an average of 0.61% with a time lag of 2 years due to an increase by 1%); the share of tenants on concessional terms/free (0.41% with a time lag of 3 years); and the share of public spending on housing development (0.25% with a time lag of 3 years). The direct relationship between the overcrowding and mortality from dangerous diseases (tuberculosis, AIDS, viral hepatitis, mental and behavioral disorders, diabetes, pneumonia) was also revealed. Public spending on housing under social protection programs (subsidies, etc.) proved to be the least effective. Preference should be given to the development of affordable mortgage lending (faster and greater effect). Generally, it impacts public management decisions in the health care system, social, and housing spheres.
Acknowledgments
The study was funded by the Ministry of Education and Science of Ukraine and performed the results of the project “Economic and mathematical modeling and forecasting, development of methodological and methodological foundations for creating a roadmap for reforming the health care system in Ukraine, taking into account behavioral, social, economic and legal determinants” (Agreement БФ / 24-2021).
This study received funding under the research subsidy of the Department of Applied Social Sciences of the Faculty of Organization and Management of the Silesian University of Technology for the year 2022 (13/020/BK_22/0072).
- Keywords
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JEL Classification (Paper profile tab)H51, I18, R28
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References68
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Tables5
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Figures6
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- Figure 1. Bibliometric analysis of publications indexed by the Scopus database according to the search request “public health management and social housing financing” for 1970–2021
- Figure 2. Clusters of scientific research that are the most closely related to the key request of “public health management and social housing financing”
- Figure 3. Comparative analysis of the EU countries and Ukraine in terms of overcrowding and mortality from tuberculosis in 2019
- Figure 4. Comparative analysis of the EU countries and Ukraine in terms of housing overcrowding and AIDS mortality in 2019
- Figure 5. Comparative analysis of the EU countries and Ukraine in terms of housing overcrowding and mortality from viral hepatitis and their consequences in 2019
- Figure 6. Comparative analysis of the EU countries and Ukraine by mortality rates from some dangerous diseases in 2019
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- Table 1. Impact of changes in the share of homeowners with mortgage/housing loan on changes in the level of overcrowding
- Table 2. Impact of changes in the share of tenants on preferential terms/free of charge on changes in the level of overcrowding
- Table 3. Impact of changes in the share of government spending on housing development and housing as a direction of social protection on changes in the level of overcrowding
- Table A1. Statistical significance, nature, and strength of the impact of changes in the level of overcrowding on changes in mortality from a number of dangerous diseases (a sample from 27 EU countries for 2011–2019)
- Table A2. Statistical significance, nature, and strength of the impact of changes in social housing financing on changes in the level of overcrowding (sample from 27 EU countries for 2011–2019)
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- Ansari, Z., Carson, N. J., Ackland, M. J., Vaughan, L., & Serraglio, A. (2003). A public health model of the social determinants of health. Sozial- und Präventivmedizin/Social and Preventive Medicine, 48(4), 242-51.
- Bagmet, K. V., & Haponova, O. (2018). Assessing the Impact on Social Sector: A Macroeconomic Approach. SocioEconomic Challenges, 3(2), 103-108.
- Brychko, M., Bilan, Y., Lyeonov, S., & Mentel, G. (2021). Trust crisis in the financial sector and macroeconomic stability: A structural equation modelling approach. Economic Research-Ekonomska Istrazivanja, 34(1), 828-855.
- Burridge, R., & Ormandy, D. (2007). Health and Safety at Home: Private and Public Responsibility for Unsatisfactory Housing Conditions. Journal of Law and Society, 34(4), 544-566.
- Center for Public Health of the Ministry of Health of Ukraine. (2019). Operatyvna informatsiia pro ofitsiino zareiestrovani vypadky VIL-infektsii, SNIDu ta smertei, zumovlenykh SNIDom, za hruden 2019 roku [Operational information on officially registered cases of HIV, AIDS and AIDS-related deaths as of December 2019]. Kyiv. (In Ukrainian).
- Database of the State Statistics Service of Ukraine. (n.d.). 0308. Kilkist pomerlykh za stattiu, vikovymy hrupamy ta prychynamy smerti po rehionakh (0,1) [0308. A number of deaths by sex, age groups, and causes of death by region (0.1)]. (In Ukrainian).
- Didenko, I., Paucz-Olszewska, J., Lyeonov, S., Ostrowska-Dankiewicz, A., & Ciekanowski, Z. (2020). Social safety and behavioral aspects of populations financial inclusion: A multicountry analysis. Journal of International Studies, 13(2), 347-359.
- Eurostat. (2022a). Causes of death – deaths by country of residence and occurrence.
- Eurostat. (2022b). Distribution of population by tenure status, type of household and income group – EU-SILC survey.
- Eurostat. (2022c). General government expenditure by function (COFOG).
- Eurostat. (2022d). Overcrowding rate by sex – EU-SILC survey.
- Garland, E., Steenburgh, E. T., Sanchez, S. H., Geevarughese, A., Bluestone, L., Rothenberg, L., Rialdi, A., & Foley, M. (2013). Impact of LEED-Certified Affordable Housing on Asthma in the South Bronx. Progress in Community Health Partnerships: Research, Education, and Action, 7(1), 25-26.
- Habeeb, S. (2021). The Public Health Model. COJ Nurse Healthcare, 7(2), 000657.
- Hyndman, S. (1998). Making connections between housing and health. In R. Kearns & W. Gesler (Eds.), Putting Health into Place: Making Connections in Geographical Research (pp. 191-207). Syracuse, NY: Syracuse University Press.
- Ianchuk, S. (2021a). Bibliometric Analysis and Visualization of Funding Social Housing: Connection of Sociological And Economic Research. SocioEconomic Challenges, 5(1), 144-153.
- Ianchuk, S. (2021b). Dominant Trends of Housing Market Development: Financing and Affordability. Financial Markets, Institutions and Risks, 5(1), 139-149.
- Ianchuk, S. (2021c). Popularity Dynamics of Social and Affordable Housing: Ethics vs Business. Business Ethics and Leadership, 5(1), 109-117.
- Ianchuk, S., Garafonova, O., Panimash, Yu., & Pawliszczy, D. (2021). Marketing, management and financial providing of affordable housing. Marketing and Management of Innovations, 2, 213-230.
- Jacobs, D. E, Kelly, T., & Sobolewski J. (2007). Linking public health, housing, and indoor environmental policy: successes and challenges at local and federal agencies in the United States. Environmental Health Perspectives, 115(6), 976-82.
- Jacobs, D. E. (2011). Environmental health disparities in housing. American Journal of Public Health, 101, 115-22.
- Kashyap, G. C., Puri, P., & Singh, S. K. (2020). Respiratory Health Upshots due to Contaminated Living Environment: A Cross-Sectional Study of the Industrial Belt of Kanpur City, India. SocioEconomic Challenges, 4(1), 17-27.
- Kolosok, S., & Jakubowska, A. (2020). Covid-19 and public health administration: trends and prospects. Health Economics and Management Review, 1(1), 69-75.
- Kolosok, S., Dementov, V., Korol, S., & Panchenko, O. (2018). Public policy and international investment position in European integration of Ukraine. Journal of Applied Economic Sciences, 13(8), 2375-2384.
- Kraft, M. H. G. (2021). The Role of Health Promotion in Management Development. A Systematic Review of Training Concepts in an Organizational Context. Business Ethics and Leadership, 5(1), 89-97.
- Krieger, J., & Higgins, D. L. (2002). Housing and Health: Time Again for Public Health Action. American Journal of Public Health, 92(5), 758-768.
- Kuzin, I., Matskov, O., Matiushkina, K., Prylepina, L., Korinchuk, L., Terleieva, Ya., Kampos, N., Zaitseva, O., Varchenko, Yu., Mamotenko, A., Kolesnyk, R., Zabolotko, V., Nedospasova, O., & Stepanova, T. (2020). Tuberkuloz v Ukraini. Analitychno-statystychnyi dovidnyk za 2019 rik. [Tuberculosis in Ukraine. Analytical and statistical guide for 2019] (197 p.). Kyiv: State Institution Public Health Center of the Ministry of Health of Ukraine. (In Ukrainian).
- Lahouirich, M. W., El Amri, A., Oulfarsi, S., Sahib Eddine, A., El Bayed Sakalli, H., & Boutti, R. (2022). From financial performance to sustainable development: A great evolution and an endless debate. Financial Markets, Institutions and Risks, 6(1), 68-79.
- Leonov, S., Frolov, S., & Plastun, V. (2014). Potential of institutional investors and stock market development as an alternative to households’ savings allocation in banks. Economic Annals-XXI, 11-12, 65-68.
- Lyeonov, S., Bilan, S., Yarovenko, H., Ostasz, G., & Kolotilina, O. (2021). Country’s health profile: Social, economic, behavioral and healthcare determinants. Economics and Sociology, 14(3), 322-340.
- Mańka-Szulik, M., & Krawczyk, D. (2022). Optimizing the Provision of Public Services by Local Administration as a Component of the Smart City Concept on the Example of Zabrze. Management Systems in Production Engineering, 30(2), 192-199.
- Maqbool, N., Viveiros, J., & Ault, M. (2015). The Impacts of Affordable Housing on Health: A Research Summary. Centre of Housing Policy.
- Marsh, B. T. (1982). Housing and health: the role of the environmental health practitioner. Journal of environmental health, 45(3), 123-128.
- Meltzer, R., & Schwartz, A. (2016). Housing Affordability and Health: Evidence From New York City. Housing Policy Debate, 26(1), 80-104.
- Pearson, K. (1896). Mathematical contributions to the theory of evolution-III. Regression, heredity, and panmixia. Philosophical Transactions of the Royal Society of London. Series A, 187, 253-318.
- Piven, D., & Us, Ya. (2022). Public Health Projects in Ukraine. Health Economics and Management Review, 3(2), 54-60.
- Polyakov, M., Bilozubenko, V., Nebaba, N., Korneyev, M., & Saihak, Y. (2020). Analysis of asymmetry factors in the development of the EU tourism industry. Innovative Marketing, 16(4), 117-128.
- Rahman, K. K. (2007). Development of housing finance and its impact on socio-economic uplift in the emerging economy in Bangladesh. IFC Bulletin, 31, 97-110.
- Rajan, D. (2018). Personal and Social Perception of Occupational Hazards by Health Care Workers: A Study among Radiographers. Business Ethics and Leadership, 2(4), 46-63.
- Robert Wood Johnson Foundation & The Pew Charitable Trusts. (2016). Health Impact Assessment and Housing. Opportunities for the public health sector.
- Rolfe, S., Garnham, L., Godwin, J., Anderson, I., Seaman, P., & Donaldson, C. (2020). Housing as a social determinant of health and well-being: developing an empirically-informed realist theoretical framework. BMC Public Health, 20, 1138.
- Sanchez, C. (2020). Poverty And Inequality in Access to Housing in Mexico City During Neoliberalism. SocioEconomic Challenges, 4(2), 31-43.
- Sardak, S., Korneyev, M., Dzhyndzhoian, V., Fedotova, T., & Tryfonova, O. (2018). Current trends in global demographic processes. Problems and Perspectives in Management, 16(1), 48-57.
- Seliuchenko, N., & Kosar, N. (2016). Investigation of the main trends of the primary real estate market in Ukraine and peculiarities of the seller marketing activity. Marketing and Management of Innovations, 4, 143-158.
- Shapiro, S., & Wilk, М. (1965). An analysis of variance test for normality (complete samples). Biometrika, 52, 591-611.
- Shipko, A., Shklyar S., Demikhov, O., & Dzwigol, H. (2020). Public health services: implementation of healthcare technologies. Health Economics and Management Review, 1(1), 84-92.
- Shkolnyk, I., Pisula, T., Loboda, L., & Nebaba, N. (2019). Financial crisis of real sector enterprises: An integral assessment. Investment Management and Financial Innovations, 16(4), 366-381.
- Sienkiewicz-Małyjurek, K. (2022). Interpretive structural modelling of inter-agency collaboration risk in public safety networks. Quality & Quantity, 56(3), 1193-1221.
- Smiianov, V. A., Lyulyov, O. V., Pimonenko, T. V., Andrushchenko, T. A., Sova, S., & Grechkovskaya, N. V. (2020). The Impact of The Pandemic Lockdown on Air Pollution, Health and Economic Growth: System Dynamics Analysis. Wiadomosci Lekarskie, 73(11), 2332-2338.
- Spearman, C. E. (1904). The proof and measurement of association between two things. American Journal of Psychology, 15, 72-101.
- Stata. (n.d.a). Arellano–Bond linear dynamic panel-data estimation.
- Stata. (n.d.b). Postestimation tools.
- State Statistics Service of Ukraine. (2019). Sotsialno-demohrafichni kharakterystyky domohospodarstv Ukrainy u 2019 [Social and Demographic Characteristics of Households of Ukraine in 2019]. (In Ukrainian).
- State Statistics Service of Ukraine. (2020). Naselennia Ukrainy za 2019 rik: Demohrafichnyi shchorichnyk [Population of Ukraine 2019: Demographic Yearbook]. Kyiv. (In Ukrainian).
- Stein, L. (1950). A study of respiratory tuberculosis in relation to housing conditions in Edinburgh. Journal of Epidemiology & Community Health, 4, 143-169.
- Thomson, H., Petticrew, M., & Morrison, D. (2001). Health effects of housing improvement: systematic review of intervention studies. BMJ, 323, 187-190.
- Tiutiunyk, I. V., Zolkover, A. O., Lyeonov, S. V., & Ryabushka, L. B. (2022). The Impact of Economic Shadowing on Social Development: Challenges For Macroeconomic Stability. Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu, 1, 183-191.
- WHO. (2011). Social determinants of health Sectoral briefing Series. Housing: shared interests in health and development (32 p.). Geneva: WHO Document Production Services.
- WHO. (2018). Housing and health guidelines (172 p.). Geneva: WHO Document Production Services.
- WHO. (2021a). Fuel poverty, homelessness and informal settlements: how housing affects health equity.
- WHO. (2021b). On World Cities Day 2021 WHO calls on countries to build resilient and healthy cities.
- WHO. (2021c). Policies, Regulations & Legislation Promoting Healthy Housing: A Review (110 p.). Geneva: WHO Document Production Services.
- WHO. (2021d). Urban health.
- Yarovenko, H., Bilan, Y., Lyeonov, S., & Mentel, G. (2021). Methodology for assessing the risk associated with information and knowledge loss management. Journal of Business Economics and Management, 22(2), 369-387.
- Yelnikova, J., & Kwilinski, A. (2020a). Impact-Investing in The Healthcare in Terms of the New Socially Responsible State Investment Policy. Business Ethics and Leadership, 4(3), 57-64.
- Yelnikova, J., & Kwilinski, A. (2020b). Responsible State Investment Policy. Business Ethics and Leadership, 4(3), 57-64.
- Yelnikova, Y., & Golochalova, I. (2020). Social Bonds as an Instrument of Responsible Investment. Financial Markets, Institutions and Risks, 4(4), 119-128.
- Zhang, L., Chen, Y., Lyulyov, O., & Pimonenko, T. (2022). Forecasting the effect of migrants’ remittances on household expenditure: COVID-19 impact. Sustainability, 14(7), 4361.
- Zwerenz, D. (2018). The economic perspective of the changes in cost of capital on the behaviour of real estate prices. Marketing and Management of Innovations, 4, 234-243.