SPATIAL DIVERSITY OF POVERTY IN POLAND
Keywords:
Household, poverty, regional diversity.Abstract
Studies on poverty have a long tradition. In Poland, the issue acquired special significance with the beginning of the economic transition. Additionally, Poland’s accession to the European Union, particularly the need to implement the EU Strategy for Social Cohesion, imposed new requirements for the study of this phenomenon.
The aim of the study is to assess the level and composition of poverty in the provincial system, and additionally, in cross-sectional of towns and villages in Poland and the identification of factors affecting the risk of poverty assuming different levels of the poverty line. In order to achieve these objectives, classical approach were used – based on the determining of the poverty line and the approach with the usage of a belonging function to the sphere of poverty based on the theory of fuzzy sets. In both cases, the monetary poverty is considered. Identification of potential factors affecting the risk of poverty was carried out using the logit model.
To accomplish the purpose of the research an individual statistical data from the Central Statistical Office household budget survey in 2012 has been used.
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References
Atkinson A. B. (1983), The Economics of Inequality, 2nd edition, Clarendon Press, Oxford.
Google Scholar
Betti G., Cheli B., Lemmi A., Verma V. (2006), On the construction of fuzzy measures for the analysis poverty and social exclusion, “Statistica & Applicazioni” IV(1), pp. 77-97.
Google Scholar
Foster J. E. (1998), What is Poverty and who are the Poor? Redefinition for the United States in the 1990s, Absolute Versus Relative Poverty, “American Economic Review”, no. 88(2), pp. 335-341.
Google Scholar
Kleiber Ch., Kotz S. (2003), Statistical size distributions in economics and actuarial sciences, John Wiley & Sons, New Jersey.
Google Scholar
Lemmi A., Betti G. (ed.) (2006), Fuzzy Set Approach to Multidimensional Poverty Measurement, New York.
Google Scholar
Maddala G. S. (2006), Ekonometria, Wydawnictwo Naukowe PWN, Warszawa.
Google Scholar
Neff D. (2013), Fuzzy set theoretic applications in poverty research, “Policy and Society”, no. 32 (4), pp. 319-331.
Google Scholar
Panek T. (2010), Multidimensional approach to poverty measurement: Fuzzy measures of the incidence and the depth of poverty, “Statistics in Transition”, no. 11, pp. 361-379.
Google Scholar
Panek T. (2011), Ubóstwo, wykluczenie społeczne i nierówności. Teoria i praktyka pomiaru, Oficyna Wydawnicza SGH, Warszawa.
Google Scholar
Ravallion M. (2012), Poor or Just Feeling Poor? On Using Subjective Data in Measuring Poverty, World Bank, Policy Research Working Paper no. 5968, Washington DC.
Google Scholar
Subramanian S. (2004), Indicators on Inequality and Poverty, World Institute for Development Economics Research, United Nations University, Research Paper No. 2004/25, Helsinki.
Google Scholar
Suchecki B. (ed.) (2010), Ekonometria przestrzenna. Metody i modele analizy danych przestrzennych, Wydawnictwo C.H. Beck, Warszawa.
Google Scholar
Topińska I. (2008), Kierunki zmian w statystyce ubóstwa, [in:] Topińska I. (ed.), Pomiar ubóstwa. Zmiany koncepcji i ich znaczenie, IPiSS, Warszawa.
Google Scholar
Townsend P. P. (1979), Poverty in the United Kingdom. A Survey of Household Resources and Living Standard, London.
Google Scholar
Wolf E. N. (2009), Poverty and income distribution, (2nd ed.), Wiley-Blackwell.
Google Scholar
Zadeh L. A. (1965), Fuzzy Sets, “Information and Control”, no. 8, pp. 338-353.
Google Scholar