Determinants of Income Poverty in an Underprivileged Area of Hungary

Authors

  • Eszter Siposné Nándori University of Miskolc
  • Katalin Lipták University of Miskolc
  • Zoltán Nagy University of Miskolc

DOI:

https://doi.org/10.32976/stratfuz.2025.37

Keywords:

poverty, education, household composition, spatial accessibility, Borsod-Abaúj-Zemplén

Abstract

This study investigates the determinants of income poverty in Borsod-Abaúj-Zemplén county, one of Hungary’s most disadvantaged areas. Using household-level survey data collected through online and community-based channels, we apply multiple regression analysis to identify the socio-economic factors most strongly influencing per capita monthly net income. Our results highlight three significant determinants of income poverty: education level, household size, and distance from the county seat. Higher educational attainment substantially increases income, underscoring the importance of human capital in reducing poverty risks. Conversely, larger household size reduces per capita income, reflecting demographic pressures on limited resources. Distance from the county center also has a strong negative effect, pointing to the role of spatial inequalities and infrastructural disadvantages in shaping poverty outcomes. These findings highlight the importance of education, regional development, and demographic factors in shaping poverty risks. Policy implications include the need for integrated strategies that strengthen educational opportunities, improve infrastructure and accessibility, and target support for disadvantaged groups. Such measures are essential to break persistent cycles of deprivation and promote inclusive regional development.

Author Biographies

Eszter Siposné Nándori, University of Miskolc

Associate Professor, Institute of World and Regional Economics, Faculty of Economics, University of Miskolc

Katalin Lipták, University of Miskolc

Associate Professor with Habilitation, Institute of World and Regional Economics, Faculty of Economics, University of Miskolc

Zoltán Nagy, University of Miskolc

Professor, Institute of World and Regional Economics, Faculty of Economics, University of Miskolc

References

African Development Bank. (2025). African trade and economic outlook. African Development Bank. https://media.afreximbank.com/afrexim/African-Trade-and-Economic-Outlook-2025.pdf

Andorka, R. (2006). Bevezetés a szociológiába (Introduction to Sociology). Budapest: Osiris Kiadó.

Alkire, S., & Foster, J. (2011). Counting and multidimensional poverty measurement. Journal of Public Economics, 95(7-8), 476-487. https://doi.org/10.1016/j.jpubeco.2010.11.006

Alkire, S., & Santos, M. E. (2014). Measuring acute poverty in the developing world: Robustness and scope of the multidimensional poverty index. World Development, 59, 251-274. https://doi.org/10.1016/j.worlddev.2014.01.026

Atkinson, A. B., & Bourguignon, F. (Eds.). (2015). Handbook of income distribution. Elsevier.

Bakos, I. (2006). Causes and regional impacts of the crisis of metallurgy in the Borsod industrial region. European Integration Studies, 5(1), 15-29.

Barta, G., Czirfusz, M., & Kukely, G. (2008). Re-industrialization in the world and in Hungary. European Spatial Research and Policy, 15(2), 5-27.

Bila, S., & Biyase, M. (2023). Determinants of subjective poverty in rural and urban areas of South Africa. Journal of Economic Cooperation and Development, 44(1), 25-56.

Blažek, J., & Netrdová, P. (2011). Regional unemployment impacts of the global financial crisis in the new member states of the EU in Central and Eastern Europe. European Urban and Regional Studies, 19(1), 42-61. http://dx.doi.org/10.1177/0969776411428650.

Branyiczki, R., & Gábos, A. (2018). A szegénység dinamikája a válság időszakában Magyarországon. In T. Kolosi & I. Tóth (Eds.), Társadalmi riport 2018 (pp. 125-144). Budapest: TÁRKI. https://doi.org/10.61501/TRIP.2018.7

Cowell, F. A. (2011). Measuring inequality (3rd ed.). Oxford University Press. https://doi.org/10.1093/acprof:osobl/9780199594030.001.0001

Darvas, Á., & Tausz, K. (2002). A gyermekek szegénysége. (Children‟s Poverty). Szociológiai Szemle, 12(4), 95-120. https://ojs3.mtak.hu/index.php/szocszemle/article/view/14482

Dávid, B., Szabó, T., Huszti, É., & Bukovics, I. (2021). The impact of the COVID-19 pandemic on people living in the most disadvantaged settlements. Scientia et Securitas, 2(3), 371-382. https://doi.org/10.1556/112.2021.00061

EU European Commission. (2010). Europe 2020: A strategy for smart, sustainable and inclusive growth. Brussels: European Commission.

Gábos, A., & Szivós, P. (2002). A jövedelmi szegénység alakulása, a gyermekes családok helyzete (Income poverty and the position of families with child(ren)). In Kolosi, I., Tóth Gy. (Eds.), Társadalmi Riport 2002 (pp.42-59). Budapest: TÁRKI.

Győri, P. (2017). Hajléktalanság – romák – gyermekszegénység (Homelessness – Roma – Child Poverty). Esély, 4. 17-44.

Havasi, É. (1999). A szegények jellemzői a mai Magyarországon. (Characteristics of the Poor in Hungary Today.) Budapest: KSH.

Hegyi-Kéri, Á., & Horváth, K. (2017). Vándorlási helyzetkép 2016- ban egy Borsod-Abaúj-Zemplén megyei településről, Tér és Társadalom, 31(4), 214-230. https://doi.org/10.17649/TET.31.4.2891

Jaber, M. M., & Szép, T. (2024). Subjective indicators of fuel poverty in Zarqa Governorate, Jordan. Energy Efficiency, 17, 21 https://doi.org/10.1007/s12053-024-10197-x

Keller, J., Kovács, K., Rácz, K., Swain, N., & Váradi, M. (2016). Workfare schemes as a tool for preventing the further impoverishment of the rural poor. Eastern European Countryside, 22(1), 5-26. https://doi.org/10.1515/eec-2016-0001

Land Audit Report (2022). Report of the Auditor General on the Department of Agriculture, Land Reform and Rural 2021-2022. Department of Agriculture, South Africa. https://www.gov.za/sites/default/files/gcis_document/202210/dalrrd-annual-report-2021-2022-part5.pdf

OECD. (2011). Divided we stand: Why inequality keeps rising. Paris: OECD Publishing.

OECD. (2025). Economic survey: South Africa 2025. OECD Publishing. https://www.oecd.org/content/dam/oecd/en/publications/reports/2025/06/oecd-economic-surveys-south-africa-2025_977f0fed/7e6a132a-en.pdf

Pénzes J. (2014). Periférikus térségek lehatárolása – dilemmák és lehetőségek. Debrecen: Didakt Kft.

Pénzes J. (szerk.) (2018). Falu – város – periféria: határon innen és túl. Süli-Zakar István professzor emlékére. Debrecen: Didakt Kft.

Posel, D., & Rogan, M. (2014). Measured as poor versus feeling poor: Comparing money-metric and subjective poverty rates in South Africa. Journal of Human Development and Capabilities, 17(1), 55-73. https://doi.org/10.35188/UNU-WIDER/2014/854-4

Quarterly Labour Force Survey (2023). Statistics South Africa. https://webapps.ilo.org/surveyLib/index.php/catalog/8565

Ravallion, M. (2016). The economics of poverty: History, measurement, and policy. Oxford University Press. https://doi.org/10.1093/acprof:oso/9780190212766.001.0001

Siposné Nándori, E. (2021). Perception of the reasons for living in poverty in Hungary. Hungarian Studies, 35(1), 80-96. https://doi.org/10.1556/044.2021.00156

South African Social Security Agency (2023). Annual Report 2023. https://static.pmg.org.za/SASSA_2022-23_ANNUAL_REPORT.pdf

Spéder, ZS. (szerk.) (2000). Gyermekes családok és gyermekek szegénysége. (Families with Children and Child Poverty.) Budapest: KSH.

UNDP (2024). Human development report 2023–2024. United Nations Development Programme. https://hdr.undp.org/content/human-development-report-2023-24

Varga, K., Tóth, G., & Nagy, Z. (2021). Impact of social innovation on population change in Borsod-Abaúj-Zemplén County. Theory, Methodology, Practice – Review of Business and Management, 17(1), 41-48. https://doi.org/10.18096/TMP.2021.01.05

World Bank. (2018). Poverty and shared prosperity 2018: Piecing together the poverty puzzle. World Bank Publications.

World Bank. (2023). Poverty and inequality platform: South Africa data. World Bank Publications.

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Published

2025-12-30

How to Cite

Siposné Nándori, E., Lipták, K., & Nagy, Z. (2025). Determinants of Income Poverty in an Underprivileged Area of Hungary. Strategic Issues of Northern Hungary, 22(04), 61–72. https://doi.org/10.32976/stratfuz.2025.37