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Multidimensional Well-being and Regional Disparities in Europe

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  • Jörg Döpke
  • Andreas Knabe
  • Cornelia Lang
  • Philip Maschke

Abstract

Using data from the OECD Regional Well-Being Index - a set of quality-of-life indicators measured at the sub-national level, we construct a set of composite well-being indices. We analyse the extent to which the choice of five alternative aggregation methods affects the well-being ranking of regions. We find that regional inequality in these composite measures is lower than regional inequality in gross-domestic product (GDP) per capita. For most aggregation methods, the rank correlation across regions appears to be quite high. It is also shown that using alternative indicators instead of GDP per capita would only have a small effect on the set of regions eligible for aid from EU Structural Funds. The exception appears to be an aggregation based on how individual dimensions of welfare relate to average life satisfaction across regions, which would substantially change both the ranking of regions and which regions would receive EU funds.
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  • Jörg Döpke & Andreas Knabe & Cornelia Lang & Philip Maschke, 2017. "Multidimensional Well-being and Regional Disparities in Europe," Journal of Common Market Studies, Wiley Blackwell, vol. 55(5), pages 1026-1044, September.
  • Handle: RePEc:bla:jcmkts:v:55:y:2017:i:5:p:1026-1044
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    File URL: http://hdl.handle.net/10.1111/jcms.12551
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    2. Alexandru Pavel & Bogdan Andrei Moldovan & Karima Kourtit & Peter Nijkamp, 2020. "Urban or Rural: Does It Make A Difference for Economic Resilience? A Modelling Study on Economic and Cultural Geography in Romania," Sustainability, MDPI, Open Access Journal, vol. 12(9), pages 1-1, May.
    3. Jesús Peiró-Palomino & Andrés J. Picazo-Tadeo & Vicente Rios, 2020. "Social Progress Around the World: Measurement, Evolution and Convergence," Working Papers 2006, Department of Applied Economics II, Universidad de Valencia.
    4. Jesús Peiró-Palomino & Andrés J. Picazo-Tadeo & Emili Tortosa-Ausina, 2020. "The Geography of Well-being in Colombia," Working Papers 2020/03, Economics Department, Universitat Jaume I, Castellón (Spain).

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    More about this item

    JEL classification:

    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being
    • R10 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - General

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