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Economic convergence vs. socio-economic convergence in space

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  • Cuffaro , Miranda

    (Vrije Universiteit Amsterdam, Faculteit der Economische Wetenschappen en Econometrie (Free University Amsterdam, Faculty of Economics Sciences, Business Administration and Economitrics)

  • Cracolici, Maria Francesca
  • Nijkamp, Peter

Abstract

This paper aims to present a new analysis framework for assessing disparities among regions (or countries). It combines both economic and social variables, where the economic attributes refer in particular to marked differences in consumption variables. This analysis is also appealing for spatial convergence analyses over time. In our paper, both economic and social variables are included as the basis of a logical operational scheme that is suitable for comparative research. In this scheme the economic aspects of living standards are represented by different categories of consumption expenditures, while the social aspects are represented by indicators of health, education, labour market conditions, etc. The analysis of a region’s performance cannot be limited exclusively to either economic or social aspects, and hence our study aims to combine in an integrated framework both material (i.e., economic) and immaterial (i.e., social) aspects of society. In a time perspective, by introducing these concepts in the analysis of differences among regions, we may then be able to distinguish the concept of convergence into economic convergence and social convergence. Our analysis is illustrated by means of an empirical application to Italian data.

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Bibliographic Info

Paper provided by VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics in its series Serie Research Memoranda with number 0020.

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Date of creation: 2006
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Handle: RePEc:dgr:vuarem:2006-20

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Web page: http://www.feweb.vu.nl

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Keywords: Italy; Regional disparities; Convergence;

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  1. Baumol, William J, 1986. "Productivity Growth, Convergence, and Welfare: What the Long-run Data Show," American Economic Review, American Economic Association, vol. 76(5), pages 1072-85, December.
  2. Neumayer, Eric, 2003. "Beyond income: convergence in living standards, big time," Structural Change and Economic Dynamics, Elsevier, vol. 14(3), pages 275-296, September.
  3. Habibullah Khan, 1991. "Measurement and determinants of socioeconomic development: A critical conspectus," Social Indicators Research, Springer, vol. 24(2), pages 153-175, March.
  4. Kuznets, Simon, 1973. "Modern Economic Growth: Findings and Reflections," American Economic Review, American Economic Association, vol. 63(3), pages 247-58, June.
  5. Dowrick, Steve & Dunlop, Yvonne & Quiggin, John, 2003. "Social indicators and comparisons of living standards," Journal of Development Economics, Elsevier, vol. 70(2), pages 501-529, April.
  6. Xavier Ramos & Jacques Silber, 2005. "On The Application Of Efficiency Analysis To The Study Of The Dimensions Of Human Development ," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 51(2), pages 285-309, 06.
  7. Jan Delhey & Petra Böhnke & Roland Habich & Wolfgang Zapf, 2002. "Quality of life in a European Perspective: The EUROMODULE as a New Instrument for Comparative Welfare Research," Social Indicators Research, Springer, vol. 58(1), pages 161-175, June.
  8. Lars Osberg & Andrew Sharpe, 2005. "How Should We Measure The "Economic" Aspects Of Well-Being? ," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 51(2), pages 311-336, 06.
  9. Easterly, William, 1999. " Life during Growth," Journal of Economic Growth, Springer, vol. 4(3), pages 239-76, September.
  10. Hobijn, Bart & Franses, Philip Hans, 2001. "Are living standards converging?," Structural Change and Economic Dynamics, Elsevier, vol. 12(2), pages 171-200, July.
  11. Giles, David E.A. & Feng, Hui, 2005. "Output and well-being in industrialized nations in the second half of the 20th century: testing for convergence using fuzzy clustering analysis," Structural Change and Economic Dynamics, Elsevier, vol. 16(2), pages 285-308, June.
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Cited by:
  1. Gromicho, J.A.S. & Hoorn, J.J. van & Timmer, G.T. & Saldanha-da-Gama, F., 2009. "Exponentially better than brute force: solving the jobshop scheduling problem optimally by dynamic programming," Serie Research Memoranda 0056, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.

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