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The Analysis of Regional Disparities in Romania with Gini/Struck Coefficients of Concentration

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  • DANIELA ANTONESCU

    (Institute of National Economy, The Romanian Academy)

Abstract

A key objective of regional development policy is to reduce disparities between regions and to ensure a relatively balanced level of development. To achieve this goal studies and social and economic analysis based on certain techniques and methods of evaluation are necessary. In scientific literature, there are plenty of models that can be applied to assess regional disparities. One of the methods commonly used in practice is related to the calculation and analysis of the degree of concentration/diversification of activities within a region. The increase or decrease in the degree of concentration of certain activities or areas of activity in a region provides information on: - the level of overall economic development; - economic development and growth rate; - the specific features of the region, the potential, local traditions, etc. The expert analysis indicate that, in a high level of overall development or a sustained economic growth rate, there are favorable conditions for economic activities to locate in any region, so they are relatively uniformly distributed throughout the country.Knowing the degree of concentration and also the influence factors are useful in making decisions and setting regional policy measures.This article proposes a synthetic analysis of the development level of regions in Romania with the concentration/diversification model (Gini/Struck coefficients), based on the existing key statistical indicators.

Suggested Citation

  • Daniela Antonescu, 2010. "The Analysis of Regional Disparities in Romania with Gini/Struck Coefficients of Concentration," Romanian Journal of Economics, Institute of National Economy, vol. 31(2(40)), pages 160-182, December.
  • Handle: RePEc:ine:journl:v:2:y:2010:i:40:p:160-182
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    References listed on IDEAS

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    1. Quah, Danny T, 1996. "Twin Peaks: Growth and Convergence in Models of Distribution Dynamics," Economic Journal, Royal Economic Society, vol. 106(437), pages 1045-1055, July.
    2. Gheorghe ZAMAN & Daniela-Luminita CONSTANTIN & Zizi GOSCHIN, 2008. "Eu Cohesion Policy Needs Differentiated Policy Mix Adequate To Specifics Of Economic Regions," Romanian Journal of Economics, Institute of National Economy, vol. 26(1(35)), pages 33-63, June.
    3. Danny Quah, 1996. "Twin Peaks: Growth and Convergence in Models of Distribution Dynamics," CEP Discussion Papers dp0280, Centre for Economic Performance, LSE.
    4. Zaman, Gheorghe & Georgescu, George, 2009. "Structural Fund Absorption: A New Challenge For Romania?," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 6(1), pages 136-154, March.
    5. Paelinck, J., 1978. "Spatial econometrics," Economics Letters, Elsevier, vol. 1(1), pages 59-63.
    6. Quah, Danny, 1996. "Twin peaks : growth and convergence in models of distribution dynamics," LSE Research Online Documents on Economics 2278, London School of Economics and Political Science, LSE Library.
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    Citations

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    Cited by:

    1. Zizi Goschin, 2018. "Variations Of Regional Inequalities In Romania In The Long Run," Management Strategies Journal, Constantin Brancoveanu University, vol. 42(4), pages 91-99.
    2. Daniela, Antonescu & Ioana, Florescu, 2023. "Spatial patterns of regional regional inequalities in European Union in pandemic time. Empirical evidence from NUTS-2 regions," MPRA Paper 120224, University Library of Munich, Germany, revised 2023.
    3. Laura Patache, 2013. "Employment and Regional Inequality in Romania," Acta Universitatis Danubius. OEconomica, Danubius University of Galati, issue 9(4), pages 259-266, August.
    4. Ramona Pîrvu & Roxana Bădîrcea & Alina Manta & Mihaela Lupăncescu, 2018. "The Effects of the Cohesion Policy on the Sustainable Development of the Development Regions in Romania," Sustainability, MDPI, vol. 10(7), pages 1-21, July.

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    More about this item

    Keywords

    regional disparities; concentration/diversification; regional analysis;
    All these keywords.

    JEL classification:

    • R1 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
    • R15 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Econometric and Input-Output Models; Other Methods

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