Poverty, inequalities and educational outcomes: a territorial analysis in the age of transitions
DOI:
https://doi.org/10.71014/sieds.v80i2.572Abstract
This paper provides a multidimensional spatial analysis of educational inequality in Italy by integrating regional data (2019–2023) with K-means clustering and Geographically Weighted Regression. The results show that structural poverty, digital exclusion, youth vulnerability, and parental educational background produce markedly uneven literacy and numeracy outcomes, with the magnitude and direction of these effects varying across space. By examining how demographic, digital, and ecological transitions interact with existing vulnerabilities, the study identifies emerging territorial pressures that intensify educational disparities. Overall, the findings offer updated evidence to support more targeted, place-based strategies aimed at reducing persistent and evolving forms of educational disadvantage.
References
BALLARINO G., BERNARDI F., REQUENA M., SCHADEE H. 2009. Persistent inequalities? Expansion of education and class inequality in Italy and Spain. European Sociological Review, Vol. 25, No. 1, pp.123-138.
BORGONOVI F., FERRARA A. 2023. COVID-19 and inequalities in Educational achievement in Italy. Research in social stratification and mobility, Vol. 83:100760.
BRUNSDON C., FOTHERINGHAM S., CHARLTON M. 1998. Geographically weighted regression. Journal of the Royal Statistical Society, pp. 431-443.
CANTALINI S., PANICHELLA N., PIETROLUCCI A., TRIVENTI M. 2025 Regional disparities, geographical marginality, and educational pathways: A study on upper secondary education in Italy. Social Inclusion, Vol. 13.
INVALSI 2024. Rilevazioni Nazionali degli Apprendimenti. Istituto Nazionale per la Valutazione del Sistema Educativo di Istruzione e Formazione.
ISTAT 2022-2023 EU-SILC – Statistics on Income and Living Conditions. Roma: Istituto Nazionale di Statistica.
ISTAT 2023. Labour Force Survey – LFS. Roma: Istituto Nazionale di Statistica.
ITALIADOMANI 2025. PNRR Open Data Portal. https://www.italiadomani.gov.it
MEF 2023. Ripartizione territoriale delle risorse del PNRR.
MUTTARAK R., LUTZ W. 2014. Is education a key to reducing vulnerability to natural disasters and hence climate change? Ecology and society, Vol. 19, No. 1.
OECD 2012. Equity and quality in education: Supporting disadvantaged students. Paris: Organisation for Economic Co-operation and Development.
OPENCOESIONE 2025. Portale Open Data – Politiche di Coesione. https://opencoesione.gov.it
ROSARIO A. T., DISA J. C. 2022. Sustainability and the digital transition: A literature review. Sustainability, Vol. 14, No. 7, pp. 4072.
SACCO C., FALZETTI P. 2021. Spatial variations of school-level determinants of reading achievement. Large-scale Assessments in Education, Vol. 9, No.1, No.12.
PARSONS E. S., JOWELL A., VEIDIS E., BARRY M., ISRANI S. T. 2024. Climate change and inequality. Pediatric research, pp. 1-8.
SPICKER P., LEGUIZAMON S. Á., GORDON D. (Eds.). 2008. Poverty: an international glossary. London: Bloomsbury Publishing.
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Copyright (c) 2026 Simona Cafieri, Gianmarco Borrata, Manuela Barba; Paola Bianco
This work is licensed under a Creative Commons Attribution 4.0 International License.
