PL EN


2012 | 12 | 2 | 72-89
Article title

Commonwealth of Independent States Economic Development: Multidimensional Comparison of States

Authors
Title variants
Languages of publication
EN
Abstracts
EN
After the disintegration of the Soviet Union several new states were founded, and majority of them created the Commonwealth of Independent States (CIS) while three Baltic states decided about independent path of development so now they are member states of EU. The aim of the paper is to evaluate the level of economic development of 10 countries, that previously were Soviet Union republic. The evaluation procedure is provided applying taxonomic indicators constructed on the basis of 12 variables observed for each country in years 1995-2009. Aggregated measure values are used to classify the investigated states into four classes containing countries with similar level of economic development.
Publisher
Year
Volume
12
Issue
2
Pages
72-89
Physical description
Dates
published
2012-12-01
online
2013-07-30
Contributors
  • Warsaw University of Life Sciences Department of Econometrics and Statistics Nowoursynowska 166, 02-787 Warszawa, Poland, krzysztof_kompa@sggw.pl
References
  • Alkire, S. & Sarwar, M. (2009). Multidimensional Measures of Poverty and Well-Being. ReportWorking Paper for the European Commission, www.ophi.org.uk/wpcontent/uploads/OPHI-RP-6a.pdf.
  • Brauers, W.K., Ginevicius, M.R., Zavadskas, E.K. & Antucheviciene, J. (2007). The European Union in a Transition Economy. Transformations in Business and Economics, 6 (2), 21-37.
  • Boeri, T. & Terrel, K. (2002). Institutional Determinants of Labor Reallocation in Transition. Journal of Economic Perspectives, Vol. 16, No. 1, 51-76.
  • Cieślak, M. (1974). Taksonomiczna procedura prognozowania rozwoju gospodarczego i określenia potrzeb na kadry kwalifikowane. Przegląd Statystyczny 21.01.1974.
  • Cornia, G.A. (2010). Transition, Structural Divergence, and Performance. United Nations UniversityUNU-WIDER World Institute for Development Economics research. Working Paper No. 2010/32.
  • Foo, J. & Witkowska, D. (2008a). EMU Convergence Prospects and Transition Countries. InternationalJournal of Business, ISSN:1083-4346, 2008, Vol. 13, No. 2, 119-139.
  • Foo, J. & Witkowska, D. (2008b). Transitional Progress and Business Challenges. InternationalAdvances in Economic Research, 215-227.
  • Foo, J. & Witkowska, D. (2009). Foreign Presence and Financial Development in EmergingCountries. In: D. Witkowska, M. Łatuszyńska (Eds.), Quantitative Methods in Regionaland Sectoral Analysis. Szczecin: University of Szczecin, Faculty of Economics and management, 13-32.
  • Ginevicius, R. & Podvezko, V. (2009). Evaluating the Changes in Economic and Social Development of Lithuanian Counties by Multiple Criteria Methods. Technological and EconomicDevelopment of Economy. Vilnius Gediminas Technical University 2009, No. 3, 418-436.
  • Hellwig, Z. (1968). Zastosowanie metody taksonomicznej do typologicznego podziału krajów ze względu na poziom ich rozwoju oraz zasoby i strukturę kwalifikowanych kadr, Przegląd Statystyczny, nr 4, 324.
  • Kompa, K. & Witkowska, D. (2009). Comparison of the Socio-Economic Development Level of European Union States: the Distance Measures Application. Polish Journal of EnvironmentalStudies, Vol. 18, No. 3B, 391-397.
  • Kompa, K. & Witkowska, D. (2010a). Application of Selected Synthetic Measures to Comparethe Socio-Economic Development in European Union State. In: K. Jajuga, M. Walesiak (Eds.), Taksonomia 17. Wrocław: Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu, 71-80 (in Polish).
  • Kompa, K. & Witkowska, D. (2010b). Evaluation of the Development Level of the EuropeanUnion States in Years 1990-2006. In: W. Starzyńska, W. Roszko (Eds.), MacroeconomicAspects of European Integration. Acta Universitatis Lodziensis, Folia Oeconomica 241, 123-135.
  • Krakowiak-Bal, A. (2005). The Implementation of Chosen Synthetic Measures for Cons-truction of Development’s Measure of Technical Infrastructure. Infrastruktura i EkologiaTerenów Wiejskich, nr 3/2005, PAN, Oddział w Krakowie, 71-82 (in Polish).
  • Nijkamp, P. (1986). Infrastructure and Regional Development: A Multidimensional PolicyAnalysis, Empirical Economics. Amsterdam: Free University Press, 1-21.
  • Nijkamp, P. & Vindigni, G. (2000). Multidimensional Comparative Assessment Methodology for Policy Analysis: A Multi- Country Study of the Agricultural Sector. Journal of EnvironmentalSystems, Vol. 28 71-90.
  • Roland, G. (2001). Ten Years After Transition and Economics. IMF Staff Papers, Vol. 48, Special Issue.
  • Rutkowski, J. (2003). Rapid Labor Reallocation with a Stagnant Unemployment Pool: The Puzzle of the Labor Market in Lithuania. World Bank Policy Research Working Paper 2946, www.wds.worldbank.org/external/default/WDSContentServer/WDSP/IB/2003/03/07/000094946_03012304282754/additional/103503322_20041117164006.pdf.
  • Sojka, E. (2008). Multidimensional Comparative Analysis of Demographic Groth of Voivodeships in Poland. Bulletin of Geography, Socio-Economic Series, No. 9, 5-19.
  • Svejnar, J. (2002). Transition Economies: Performance and Challenges. Journal of EconomicPerspectives, Vol. 16, No. 1, 3-28.
  • Todaro, M.P. & Smith, S.C. (2003). Economic Development, Addison-Wesley Higher Education Group.
  • Witkowska, W. & Foo, J. (2009). Application of Multidimensional Analysis to Banking Development Evaluation. Polish Journal of Environmental Studies, Vol. 18, No. 5B, 209-216.
  • www.cisstat.com/eng/frame_macro.htm.
  • Zeliaś, A. & Malina, A. (1997). O budowie taksonomicznej miary jakości życia. Syntetycznamiara rozwoju jest narzędziem statystycznej analizy porównawczej. In: K. Jajuga, M. Walesiak (Eds.), Taksonomia 4. Wrocław: Wydawnictwo Akademii Ekonomicznej we Wrocławiu.
Document Type
Publication order reference
Identifiers
YADDA identifier
bwmeta1.element.doi-10_2478_v10031-012-0027-4
JavaScript is turned off in your web browser. Turn it on to take full advantage of this site, then refresh the page.