TY - CHAP
T1 - QUALITY OF LIFE IN THE EUROPEAN UNION
AU - Nermend, Kesra
AU - Grima, Simon
N1 - Publisher Copyright:
© 2025 by Kesra Nermend and Simon Grima.
PY - 2024/11/18
Y1 - 2024/11/18
N2 - Purpose: This study aims to investigate the complex and multifaceted issue of changes in the quality of life of residents of the European Union (EU) member states from a dynamic perspective. This issue encompasses various social, economic, and political dimensions. Methodology: This study uses the vector measure construction method (VMCM) to compare the quality of life in 27 EU countries since 2004. The VMCM approach, based on vector calculus properties, uses a scalar product to analyse the actual objects of analysis. Indicators such as per capita income, housing conditions, healthcare, education, and social and environmental inequality will be identified. The aggregate measure and available data will be used to create a ranking of the quality of life in each EU country, with the to pranked country serving as a benchmark for comparison in the second phase. Results: This study reveals that Ireland, Greece, Cyprus, and Luxembourg are the top performers in quality of life, while Hungary and Bulgaria consistently rank lower. Malta and Estonia show improvements in education, gross domestic product (GDP) per capita, income, and employment rates, while Poland and Spain experience declines. Slovenia is the top performer, followed by Malta and Lithuania, which have improved their ranking over time. Practical implications: This study underscores the dynamic nature of quality of life and provides valuable insights for policymakers and researchers alike.
AB - Purpose: This study aims to investigate the complex and multifaceted issue of changes in the quality of life of residents of the European Union (EU) member states from a dynamic perspective. This issue encompasses various social, economic, and political dimensions. Methodology: This study uses the vector measure construction method (VMCM) to compare the quality of life in 27 EU countries since 2004. The VMCM approach, based on vector calculus properties, uses a scalar product to analyse the actual objects of analysis. Indicators such as per capita income, housing conditions, healthcare, education, and social and environmental inequality will be identified. The aggregate measure and available data will be used to create a ranking of the quality of life in each EU country, with the to pranked country serving as a benchmark for comparison in the second phase. Results: This study reveals that Ireland, Greece, Cyprus, and Luxembourg are the top performers in quality of life, while Hungary and Bulgaria consistently rank lower. Malta and Estonia show improvements in education, gross domestic product (GDP) per capita, income, and employment rates, while Poland and Spain experience declines. Slovenia is the top performer, followed by Malta and Lithuania, which have improved their ranking over time. Practical implications: This study underscores the dynamic nature of quality of life and provides valuable insights for policymakers and researchers alike.
KW - aggregate measure
KW - MCA – multidimensional comparative analysis
KW - MCDA – multicriteria decisionmaking
KW - quality of life
KW - quality of life in the EU
KW - VMCM
UR - https://www.scopus.com/pages/publications/85208984950
U2 - 10.1108/S1569-375920240000115011
DO - 10.1108/S1569-375920240000115011
M3 - Chapter
AN - SCOPUS:85208984950
T3 - Contemporary Studies in Economic and Financial Analysis
SP - 177
EP - 200
BT - Contemporary Studies in Economic and Financial Analysis
PB - Emerald Publishing
ER -