Regional Income Inequalities In Poland And Italy

Authors

  • Alina Jędrzejczak University of Łódź, Faculty of Economics and Sociology, Department of Statistical Methods

DOI:

https://doi.org/10.1515/cer-2015-0027

Keywords:

income inequalit, poverty, inequality decomposition

Abstract

Reducing regional inequality was one of the key means of promoting the “harmonious development” within Europe envisioned in the EEC Treaty of 1957. The pursuit of “economic, social and territorial cohesion” through ever closer regional and national harmonisation was also proclaimed in the 2007 Lisbon Treaty, but deepening European integration has not always been matched with convergence in living standards between sub-national regions. The gap between poorer and richer areas increased during the last economic crisis even in some developed economies, and the income discrepancy between richer and poorer regions is likely to widen further as government-spending cuts disproportionately hurt less prosperous regions. Regional inequalities can be measured in many ways - the extent of inequality may be mapped in terms of demography, income and wealth, labour markets, and education and skills. The main objective of this presentation is to analyse regional inequalities in terms of household income distribution. The empirical evidence comes from the GUS, Istat and Bank of Italy databases and has been analysed by means of inequality and poverty indices calculated at NUTS 1 and NUTS 2 levels. In order to work out the intra-regional and inter-regional contributions to the overall inequality, the Gini index decomposition has been applied. While presenting similar levels of income concentration, Poland and Italy turned out to follow different regional inequality patterns.

Downloads

Download data is not yet available.

References

Atkinson, A.B. (1996), Income distribution in Europe and the United States, Oxford Review of Economic Policy, 12. doi: 10.1093/oxrep/12.1.15
Google Scholar

Aksman E. (2008), Koncentracja i regresywność świadczeń społecznych, Polityka Społeczna 2.
Google Scholar

Costa M., (2009), Transvariation and Inequality Between Subpopulations in the Dagum’s Gini Index Decomposition, METRON - International Journal of Statistics, vol. LXVII, 3.
Google Scholar

Dagum, C. (1980), Inequality Measures Between Income Distributions with Applications, Econometrica 48(7). doi: 10.2307/1911936
Google Scholar

Dagum, C.,(1997), A New Approach to the Decomposition of the Gini Income Inequality Ratio. Empirical Economics, 22.
Google Scholar

Dagum, C., (2008), Inequality decomposition, directional economic distance, metric distance, and Gini dissimilarity between income distributions. In: Betti, G., Lemmi, A. (Eds.), Advances on Income Inequality and Concentration Measures. Routledge, London.
Google Scholar

Deininger, K. and Squire, L., (1998), New Ways of Looking at Old Issues: Inequality and Growth, Journal of Development Economics, 57(2). doi: 10.1016/S0304-3878(98)00099-6
Google Scholar

Jędrzejczak A. (2010), Decomposition Analysis of Income Inequality in Poland by Subpopulations and Factor Components, Argumenta Oeconomica, 1(24).
Google Scholar

Krajewska A. (2010), Wzrost zróżnicowania dochodów w Polsce. Przyczyny i konsekwencje, Gospodarka Narodowa 7-8.
Google Scholar

Li, H., Squire, L. and Zou H., (1998), Explaining International and Intertemporal Variations in Income Inequality, Economic Journal108. doi: 10.1111/1468-0297.00271
Google Scholar

Sztaudynger J., Kumor P., (2007), The Optimal Inequality of Earnings- The Econometric Analysis, Comparative Economic Research 1/2.
Google Scholar

Yitzhaki S., Schechtman E. (2013), The Gini Methodology, Springer, New York.
Google Scholar

Downloads

Published

2015-12-17

How to Cite

Jędrzejczak, A. (2015). Regional Income Inequalities In Poland And Italy. Comparative Economic Research. Central and Eastern Europe, 18(4), 27–45. https://doi.org/10.1515/cer-2015-0027

Issue

Section

Articles