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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
    DOI: 10.1111/jcms.12551
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    1. Bruno S. Frey & Alois Stutzer, 2000. "Maximising Happiness?," German Economic Review, Verein für Socialpolitik, vol. 1(2), pages 145-167, May.
    2. Adam Okulicz-Kozaryn, 2012. "Income and Well-being Across European Provinces," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 106(2), pages 371-392, April.
    3. Charles I. Jones & Peter J. Klenow, 2016. "Beyond GDP? Welfare across Countries and Time," American Economic Review, American Economic Association, vol. 106(9), pages 2426-2457, September.
    4. Ed Diener & Eunkook Suh, 1997. "Measuring Quality Of Life: Economic, Social, And Subjective Indicators," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 40(1), pages 189-216, January.
    5. Nicole Lawless & Richard Lucas, 2011. "Predictors of Regional Well-Being: A County Level Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 101(3), pages 341-357, May.
    6. Sonja C. Kassenboehmer & Christoph M. Schmidt, 2010. "Beyond GDP and Back: What is the Value-Added by Additional Components of Welfare Measurement?," RatSWD Working Papers 167, German Data Forum (RatSWD).
    7. Grant Duncan, 2010. "Should Happiness-Maximization be the Goal of Government?," Journal of Happiness Studies, Springer, vol. 11(2), pages 163-178, April.
    8. Moore, Nils aus dem & Schmidt, Christoph M., 2013. "On the Shoulders of Giants: Tracing Back the Intellectual Sources of the Current Debate on “GDP and Beyond” to the 19th Century," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 233(3), pages 266-290.
    9. Berlage, Lodewijk & Terweduwe, Dirk, 1988. "The classification of countries by cluster and by factor analysis," World Development, Elsevier, vol. 16(12), pages 1527-1545, December.
    10. Alois Stutzer & Bruno S. Frey, 2004. "Reported Subjective Well-Being: A Challenge for Economic Theory and Economic Policy," Schmollers Jahrbuch : Journal of Applied Social Science Studies / Zeitschrift für Wirtschafts- und Sozialwissenschaften, Duncker & Humblot, Berlin, vol. 124(2), pages 191-231.
    11. Denis Huschka & Gert G. Wagner, 2010. "Sind Indikatoren zur Lebensqualität und zur Lebenszufriedenheit als politische Zielgrößen sinnvoll?," RatSWD Research Notes 43, German Data Forum (RatSWD).
    12. Koen Decancq & María Ana Lugo, 2013. "Weights in Multidimensional Indices of Wellbeing: An Overview," Econometric Reviews, Taylor & Francis Journals, vol. 32(1), pages 7-34, January.
    13. Dominik Schraff, 2014. "Buying turnout or rewarding loyalists? Electoral mobilization and EU structural funding in the German Länder," European Union Politics, , vol. 15(2), pages 277-288, June.
    14. Florence Bouvet & Sandy Dall'Erba, 2010. "European Regional Structural Funds: How Large is the Influence of Politics on the Allocation Process?," Journal of Common Market Studies, Wiley Blackwell, vol. 48, pages 501-528, June.
    15. Marc Fleurbaey, 2009. "Beyond GDP: The Quest for a Measure of Social Welfare," Journal of Economic Literature, American Economic Association, vol. 47(4), pages 1029-1075, December.
    16. William D. Nordhaus & James Tobin, 1972. "Economic Research: Retrospect and Prospect, Volume 5, Economic Growth," NBER Books, National Bureau of Economic Research, Inc, number nord72-1, January.
    17. Achim Kemmerling & Thilo Bodenstein, 2006. "Partisan Politics in Regional Redistribution," European Union Politics, , vol. 7(3), pages 373-392, September.
    18. Florence Bouvet & Sandy Dall'Erba, 2010. "European Regional Structural Funds: How Large is the Influence of Politics on the Allocation Process?," Journal of Common Market Studies, Wiley Blackwell, vol. 48(3), pages 501-528, June.
    19. Loek Groot & Erik Zonneveld, 2013. "European Union Budget Contributions and Expenditures: A Lorenz Curve Approach," Journal of Common Market Studies, Wiley Blackwell, vol. 51(4), pages 649-666, July.
    20. Kitty Stewart, 2005. "Dimensions Of Well-Being In Eu Regions: Do GDP And Unemployment Tell us All We Need To Know?," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 73(2), pages 221-246, September.
    21. Diane Coyle, 2014. "GDP: A Brief but Affectionate History," Economics Books, Princeton University Press, edition 1, number 10183.
    22. Lisa Maria Dellmuth & Michael F Stoffel, 2012. "Distributive politics and intergovernmental transfers: The local allocation of European Union structural funds," European Union Politics, , vol. 13(3), pages 413-433, September.
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    5. 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.
    6. Daniele Archibugi & Rinaldo Evangelista & Antonio Vezzani, 2021. "Centripetal and centrifugal forces in technological activities: linking regional innovation performances to EU Science & Technology policies," Working Papers 47, Birkbeck Centre for Innovation Management Research, revised Jan 2021.
    7. Bonasia, Mariangela & Napolitano, Oreste & Spagnolo, Fabio & Spagnolo, Nicola, 2022. "The economic and welfare state determinants of well-being in Europe," International Economics, Elsevier, vol. 171(C), pages 49-57.
    8. 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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