S24 Educational Inequalities: Exploring Diverging Territorial Patterns
Tracks
Special Session
Thursday, August 28, 2025 |
9:00 - 10:30 |
D12 |
Details
Chair: Giorgia Casalone, University of Eastern Piedmont, Italy, Alessandra Michelangeli, University of Milan-Bicocca, Italy, Jurgena Myftiu, University of Bergamo
Speaker
Prof. Alessandra Michelangeli
Associate Professor
Università di Milano Bicocca - DEMS
Lost Learning and Regional Resilience: The Impact of COVID-19 on Educational Inequality in Italy
Author(s) - Presenters are indicated with (p)
Alessandra Michelangeli (p), Giorgia Casalone, Kateryna Tkach
Discussant for this paper
Sauveur Giannoni
Abstract
While education is a fundamental right protected by the Italian Constitution, significant territorial disparities in learning outcomes persist and have been further exacerbated by the Covid-19 pandemic. Students from disadvantaged backgrounds and certain regions experienced more substantial learning losses.
This paper examines educational inequality in the first two educational cycles (primary and lower secondary school) by analyzing individual results from the national standardized tests administered by the National Institute for the Evaluation of the Education and Training Educational System (INVALSI). We compare the 2021 INVALSI test results with those from previous years to assess the impact of distance learning on educational disparities. Additionally, we identify the regions where students demonstrated greater resilience to pandemic’s effects.
Educational inequality is measured using Generalized Entropy Indexes (GE), which are then decomposed across different socio-demographic subgroups.
Our results reveal that stronger educational outcomes are concentrated in wealthier regions, while poorer outcomes are more prevalent in areas marked by social marginalization, including high percentages of low-income households, including single-parent families and foreign-born residents.
This paper examines educational inequality in the first two educational cycles (primary and lower secondary school) by analyzing individual results from the national standardized tests administered by the National Institute for the Evaluation of the Education and Training Educational System (INVALSI). We compare the 2021 INVALSI test results with those from previous years to assess the impact of distance learning on educational disparities. Additionally, we identify the regions where students demonstrated greater resilience to pandemic’s effects.
Educational inequality is measured using Generalized Entropy Indexes (GE), which are then decomposed across different socio-demographic subgroups.
Our results reveal that stronger educational outcomes are concentrated in wealthier regions, while poorer outcomes are more prevalent in areas marked by social marginalization, including high percentages of low-income households, including single-parent families and foreign-born residents.
Dr. Sauveur Giannoni
Associate Professor
Université De Corse
Tourism, Education, and Economic Growth: Does Tourism Lead Regions onto a Path of Under-Educated Growth?
Author(s) - Presenters are indicated with (p)
Sauveur Giannoni (p)
Discussant for this paper
Jurgena Myftiu
Abstract
A substantial body of literature demonstrates the positive impact of tourism activity on the economic growth of many countries and regions (Paci and Maroccu 2014, Radić-Matošević et al. 2021). This represents a significant economic opportunity, particularly for less developed regions.
At the same time, the literature has long established the importance of educational attainment in driving economic growth. This article aims to investigate the interactions between tourism, the education level of the population, and the economic growth of regions within the European Union.
More specifically, highly touristic regions often face an issue of under-education among young people. The employment opportunities provided by the tourism sector incentivize a portion of the population to leave the education system prematurely, often without obtaining a diploma.
Thus, while tourism may promote regional economic growth by offering local populations economic opportunities, it may simultaneously contribute to a decline in educational attainment. Ultimately, this raises the question of whether regions that choose to promote tourism as a pillar of their economic development strategy might inadvertently find themselves on a growth trajectory where education plays a diminished role and investment in education is lower.
In this article, we seek to empirically evaluate the following three hypotheses:
- H1: Tourism fosters economic growth in EU regions.
- H2: The positive effect of education on growth is weaker in the most touristic regions.
- H3: Investment in education is lower in the most touristic regions.
To test these hypotheses, we use EUROSTAT education data for NUTS2 regions of the European Union over the period 2012–2023. As this paper is still in progress, the econometric specifications employed may evolve. However, to test hypotheses H1 and H2, we rely on a standard Mankiw-Romer-Weil (1992) specification and a two-way fixed-effects panel model. Hypothesis H3 will be tested using a two-way fixed-effects panel specification, with robustness checks performed via a panel Granger causality test.
At the same time, the literature has long established the importance of educational attainment in driving economic growth. This article aims to investigate the interactions between tourism, the education level of the population, and the economic growth of regions within the European Union.
More specifically, highly touristic regions often face an issue of under-education among young people. The employment opportunities provided by the tourism sector incentivize a portion of the population to leave the education system prematurely, often without obtaining a diploma.
Thus, while tourism may promote regional economic growth by offering local populations economic opportunities, it may simultaneously contribute to a decline in educational attainment. Ultimately, this raises the question of whether regions that choose to promote tourism as a pillar of their economic development strategy might inadvertently find themselves on a growth trajectory where education plays a diminished role and investment in education is lower.
In this article, we seek to empirically evaluate the following three hypotheses:
- H1: Tourism fosters economic growth in EU regions.
- H2: The positive effect of education on growth is weaker in the most touristic regions.
- H3: Investment in education is lower in the most touristic regions.
To test these hypotheses, we use EUROSTAT education data for NUTS2 regions of the European Union over the period 2012–2023. As this paper is still in progress, the econometric specifications employed may evolve. However, to test hypotheses H1 and H2, we rely on a standard Mankiw-Romer-Weil (1992) specification and a two-way fixed-effects panel model. Hypothesis H3 will be tested using a two-way fixed-effects panel specification, with robustness checks performed via a panel Granger causality test.
Dr. Jurgena Myftiu
Assistant Professor
University of Bergamo
Why Do Some Schools Perform Better Than Others? Exploring the Black Box of the School Effect
Author(s) - Presenters are indicated with (p)
Giorgia Casalone, Alessandra Michelangeli, Jurgena Myftiu (p)
Discussant for this paper
Ruoshui He
Abstract
This study investigates the factors behind the "school effect" or "school value added", defined as the difference between students' actual performance and their predicted performance based on background characteristics. Analysing a nationally representative sample of Italian students who took standardized academic achievement tests in grades 2, 5, and 8 (INVALSI), the paper explores the impact of factors beyond individual characteristics, including the quality of classmates and the attributes of teachers and principals. Regarding teachers, the study examines gender, educational qualifications, experience, and contract type (fixed-term or permanent). For school principals, it considers leadership style (autocratic or democratic), organizational approach, and the school climate they help foster, assessing how these factors may affect students' learning achievements. The literature concerning the teacher value added is extensive (Carrel et al. 2010, Chetty et al. 2014, Barrios- Fernández and Riudavets-Barcons, 2024), whereas the contribution of school principals is less explored, especially in Italy. Utilizing multilevel regression models and factor analysis to uncover latent dimensions such as leadership style and school climate, the analysis investigates how these variables influence student outcomes and reduce the unexplained variance in learning achievements across classes and schools. The findings provide insights into the determinants of school effectiveness, thereby informing educational policy and school management strategies.
Ms Ruoshui He
Ph.D. Student
Jönköping University
Is "Education Involution" Good or Bad: Peer Competition in Higher Education Admission on Schooling Consequences
Author(s) - Presenters are indicated with (p)
Ruoshui He (p), Honghong Wei
Discussant for this paper
Alessandra Michelangeli
Abstract
Between 1978 and 1998, China experienced the Gaokao reintroduction, the One-Child Policy, and higher education initiatives, creating an intensely competitive educational environment for the post-1980 cohorts. This paper investigates the effects of peer competition on schooling outcomes, mainly referring to the final educational attainment in China, using a cohort-based Difference-in-Differences (DID) approach. Our analysis finds that individuals from high-competition regions receive 0.42 fewer years of schooling than those from low-competition regions. The negative impact is especially pronounced among rural and male students. Regarding the individual incremental effects, for every 0.01 increase in the acceptance rate, the number of years of schooling increases by about 0.052 years (about 20 days). There is an increase in years of schooling by up to 1.22 years from the most competitive regions to the least competitive regions. The findings highlight the concept of educational involution, where increasing competition leads to social waste and diminishing returns of efforts without proportional gains in education outcomes. This study suggests policy interventions to mitigate these negative effects, advocating for equal access to educational resources.
