Education, Income, and Inequality in the European Union

Vandeplas, Anneleen

doi:10.1093/oso/9780197545706.003.0009

Cited by 3 publications

(2 citation statements)

References 75 publications

(76 reference statements)

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“…Research on the impact of the level and quality of education on income and income inequality as well as economic development has been undertaken by many academics (Ansari, 2016;Banzragch et al, 2019;Dao, 2020;Skubiak, 2013). The literature emphasizes the increasing importance of education and skills as determinants of life outcomes (Vandeplas, 2021), as well as the fact that economic development, prosperity and social cohesion can be achieved through well-designed and well-targeted investment in education (Algan et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Assessment of the relationship between regional variability in the level of education and population income: application of multivariate comparative analysis

Murawska

2023

EiP

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Motivation: The relationship between the level of education and population income lies at the heart of current scientific and political debates on the social and economic development of countries. The issue is an important one, as the gap between countries in this regard is large and has widened even further amid the current economic crisis that started in 2020 and is a result of, among others, the Covid-19 pandemic.Aim: The present article aimed to undertake a multivariate comparative analysis of population level of education (EL) and income (IL), construct synthetic measures of the phenomena under study, rank and classify the objects/countries studied, and investigate whether significant interdependencies exist between the level of education and income inequality. Additionally, an effort was made to determine the scale of changes and variability in the phenomena explored, both prior (before 2020) to and during the economic crisis (years 2020–2021).Results: The study confirmed the existence of a significant interdependence between populations’ education level (EL) and income level (IL) variability across EU regions. The marginalization of and disparity among several of the EU(27) countries has intensified even further during the current economic crisis. Significant correlations exist between countries with high population incomes and the percentages of individuals holding tertiary education qualifications as well as the adults pursuing further education. Concomitantly, as the percentage of young people not in education or employment falls, countries’ GDP and income levels increase, while income inequality and the risk of poverty decrease. The understanding of the aforementioned interdependencies is vital for the implementation of education policy as one of the biggest levers reducing educational disparities and thus income inequality in the population.

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Section: Introductionmentioning

confidence: 99%

Assessment of the relationship between regional variability in the level of education and population income: application of multivariate comparative analysis

Murawska

2023

EiP

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“…The quality of human capital that skills supply reflects is significant for productivity growth, while skill deficiencies and poor management might be responsible for the inability to exploit new technologies, the non-distribution of productivity gains and the productivity slowdown. The full potential of higher skills requires labour-market-relevant skills and matching skilled workers with jobs that use those skills (Vandeplas & Thum-Thysen, 2019). The relationship between human capital and productivity is complex, depending on the characteristics of education and training provisions and interactions with organizational structures and business models (Mason et al, 2018).…”

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confidence: 99%

A holistic approach of the labour productivity slowdown in the regions of the European Union

Tsiapa

2023

Papers in Regional Science

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Productivity growth reflects the efficiency and the improvements in prosperity of economies. The productivity slowdown that has emerged in many advanced countries jeopardizes their economic potential and social cohesion.This paper attempts to analyse the complex problem of productivity and detect the culprits in the European Union's productivity slowdown. From a holistic viewpoint, the paper explores a multidimensional context of socio-economic and institutional factors, as well as the existence of spillover effects through a regional-aspect compound analysis.Studying the productivity slowdown of NUTS 2 regions for the period 2000-2019 the analysis discerns four categories of factors that lead to valuable policy implications.

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Exploring the Link Between Education Length and Employment Outcomes among Youth in Europe: A Hierarchical Clustering Approach

Krpan,

Kedžo,

Žmuk

2023

Business Systems Research Journal

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Background As the world rapidly evolves, digitalisation continues, and artificial intelligence is used, it is crucial to understand how education systems are preparing future generations to succeed in this very dynamic environment where there is a tremendous demand for skilled workers. Objectives This paper analyses similarities and differences between European Union Member States regarding the educational attainment of young adults and their performance in the labour market. Methods/Approach Ward’s cluster method in hierarchical cluster analysis for output and outcome indicators of young adult education systems is used for two selected years: 2012 and 2021. Results Belgium, Cyprus, Denmark, France, Ireland, Latvia, Lithuania, Luxembourg, and the Netherlands have the highest average percentage of young adults with tertiary education in 2021. On the other hand, Belgium, Bulgaria, Hungary, Ireland, Lithuania, Malta, Poland, and Romania have the highest average employment and income benefits of tertiary education for young adults. Conclusions The average share of 25-to 34-year-olds with tertiary education increased significantly in the EU-27 between 2012 and 2021, partly due to higher demand for skilled workers in labour markets. Higher levels of education are generally associated with better employment opportunities and higher wages. However, there are large differences across EU economies. The results can help governments and education policymakers design future policies and provide insights into cross-country comparisons.

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Education, Income, and Inequality in the European Union

Cited by 3 publications

References 75 publications

Assessment of the relationship between regional variability in the level of education and population income: application of multivariate comparative analysis

Assessment of the relationship between regional variability in the level of education and population income: application of multivariate comparative analysis

A holistic approach of the labour productivity slowdown in the regions of the European Union

Exploring the Link Between Education Length and Employment Outcomes among Youth in Europe: A Hierarchical Clustering Approach

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