This study ranks EU member states based on indicators designed to assess happiness, leveraging six key variables from the 2023 World Happiness Report: GDP per capita, social support, healthy life expectancy, freedom to make life choices, generosity, and perceptions of corruption. Using two multi-criteria decision-making methods, TOPSIS and VIKOR, the research highlights significant geographical disparities, with northern and western EU countries reporting higher happiness levels compared to southern and eastern regions. Notably, Finland, Romania, and Lithuania exhibited discrepancies between self-reported happiness and the results derived from the six variables. The findings emphasize that happiness is a dynamic metric, influenced by evolving life circumstances, technological advancements, and societal shifts toward emotional awareness and life prioritization. The VIKOR method demonstrated greater alignment with self-reported happiness rankings, validated by error analysis using RMSE and MAE. This research underscores the complexity of measuring happiness and provides valuable insights for policymakers and academics aiming to enhance well-being across diverse contexts.

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Ranking EU Happiness: TOPSIS and VIKOR Classification

  • Adina Jigani,
  • Alexandra-Nicoleta Ciucu,
  • Kosyo Stoychev,
  • Vanesa Vargas,
  • Andra Sandu

摘要

This study ranks EU member states based on indicators designed to assess happiness, leveraging six key variables from the 2023 World Happiness Report: GDP per capita, social support, healthy life expectancy, freedom to make life choices, generosity, and perceptions of corruption. Using two multi-criteria decision-making methods, TOPSIS and VIKOR, the research highlights significant geographical disparities, with northern and western EU countries reporting higher happiness levels compared to southern and eastern regions. Notably, Finland, Romania, and Lithuania exhibited discrepancies between self-reported happiness and the results derived from the six variables. The findings emphasize that happiness is a dynamic metric, influenced by evolving life circumstances, technological advancements, and societal shifts toward emotional awareness and life prioritization. The VIKOR method demonstrated greater alignment with self-reported happiness rankings, validated by error analysis using RMSE and MAE. This research underscores the complexity of measuring happiness and provides valuable insights for policymakers and academics aiming to enhance well-being across diverse contexts.