Abstract

This paper uses recent multidimensional well-being measurements to examine multidimensional well-being and inequality across the European regions in 2000 and 2014 with the use of eleven well-being indicators from the OECD Better Life Index. We use generalized mean aggregation method with alternative parameters to allow different substitutability and complementarity levels between well-being dimensions, which range between perfect substitutability and some degree of complementarity between the dimensions, to examine well-being and inequality across the European regions. Accounting for the interactions between the well-being dimensions matters for the multidimensional well-being and inequality across the European regions. The results show that the multidimensional well-being across the European regions are relatively lower when the dimensions are more seen as complements compared to the case when they are considered to be perfect substitutes. Furthermore, there is also a higher degree of multidimensional inequality across the European regions when the dimensions are considered to have some complementarity. Changes in well-being dimensions between 2000 and 2014 indicates that multidimensional well-being improved and inequality decreased in the personal and community well-being categories, but remained unchanged in material well-being category across the European regions irrespective of interaction levels between well-being dimensions. Policy implications of these multidimensional well-being indices are also evaluated by using these indices to determine the eligible regions for the European Union structural funds where the number eligible regions shows some variation depending on whether the dimensions are perfect substitutes or more of complements.

Highlights

  • It has been widely accepted that well-being is a multidimensional phenomenon (Fleurbaey and Blanchet 2013) which requires consideration of many dimensions of well-being

  • The identified regions obviously differ with composite indices compared to the income dimension, which are available upon request from the author, yet with income dimension criteria, there are more regions eligible for the funds compared to the eligible regions with the composite index obtained with arithmetic mean

  • We aggregate various well-being dimensions to measure the European Union (EU) regional well-being to go beyond single measure of well-being and we use generalized mean aggregation procedure to measure whether the well-being achievements in regions have balanced composition of development or not by allowing the dimensions to be more seen as complements

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Summary

Introduction

It has been widely accepted that well-being is a multidimensional phenomenon (Fleurbaey and Blanchet 2013) which requires consideration of many dimensions of well-being. The most commonly known composite index measuring multidimensional well-being is the United Nations’ Development Programme (UNDP)’s Human Development Index (HDI), which offers countries’ average achievement in income, education and health dimensions (Malik 2013). Environmental Sustainability Index (ESI), on the other hand, aggregates various dimensions of well-being and sustainability (Esty et al 2005) by using the weighted average achievements across different set of dimensions. OECD’s Better Life Index (BLI) offers multidimensional well-being index by aggregating achievements in 11 indicators through preferences of individuals on different well-being indicators (Durand 2015).. The OECD has proposed a computation of the BLI at a regional level thanks to the availability of well-being macro-level data at regional level for OECD countries (OECD 2014) enabling one to construct regional wellbeing indices, which is the aim of this paper OECD’s Better Life Index (BLI) offers multidimensional well-being index by aggregating achievements in 11 indicators through preferences of individuals on different well-being indicators (Durand 2015). Only very recently, the OECD has proposed a computation of the BLI at a regional level thanks to the availability of well-being macro-level data at regional level for OECD countries (OECD 2014) enabling one to construct regional wellbeing indices, which is the aim of this paper

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