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Autor
Majerova Ingrid (Silesian University in Opava, Karvina, Czech Republic), Nevima Jan (Silesian University in Opava, Karvina, Czech Republic)
Tytuł
The measurement of human development using the Ward method of cluster analysis
Źródło
Journal of International Studies, 2017, vol. 10, nr 2, s. 239-257, tab., bibliogr. 34 poz.
Słowa kluczowe
Analiza skupień, Produkt krajowy brutto (PKB), Jakość życia, Długość życia, Kształcenie ustawiczne
Cluster analysis, Gross domestic product (GDP), Quality of life, Life expectancy, Lifelong learning
Uwagi
Klasyfikacja JEL: C38, I31, O51, R11
summ., This work was supported by the students´ grant project "Influence of the Selected Macroeconomic and Microeconomic Determinants on the Competitiveness of Regions and Firms in Countries of the Visegrad Group Plus". Project registration number is SGS/13/2015. This work was supported by the Ministry of Education, Youth and Sports of the Czech Republic within the Institutional Support for Long-term Development of a Research Organization in 2017
Firma/Organizacja
Grupa Wyszehradzka
Visegrad Group
Abstrakt
The Human Development Index is one of the methods how to measure human development. It measures the level of human development both in the economic and social field. Human development is studied at the national level in most cases, yet it might be used at the regional level of a country, too. The objective of the article is to describe the potential for human development in the NUTS II regions of the Visegrad Group Plus countries (the Czech Republic, Poland, Hungary, Slovakia, and Austria and Slovenia) using the cluster analysis. The research was carried out in the period from 2004 to 2013. Initially, a research hypothesis regarding the dynamization of the human development processes in most of the regions was set, moving from a lower to a higher development potential within three groups. This hypothesis was verified by a hierarchy cluster analysis in the Ward method and was not confirmed. (original abstract)
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Bibliografia
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  1. Abad-González, J., & Martinez, R. (2017). Endogenous categorization of the human development. Applied Economics Letters, 24(4), 243-246.
  2. Akócsi, I. L., Bencze, S., & Tóth, T. (2012). New Determination of Human Development at Regional Level in the Countries of Visegrad. Selye e-studies. Retrieved from http://www.selyeuni.sk/gtk/e-studies/en/homepage/doc details/8-201202.html (refered on 11/11/2016).
  3. Agufia, C. G., & Kovacevic, M. (2010). Uncertainty and sensitivity analysis of the human development index. Human Development Research Paper, 47.
  4. Anand, S., & Sen, A K. (1994). Human development index: methodology and measurement. Occasional Paper 12, New York: Human Development Report Office.
  5. Bakumenko, L. P., Sarycheva, T. V., Ignasheva, T. A., Mkhitaryan, V. S., & Korotkov, P. A. (2015). A Statistical Approach to Life Quality Analysis. Mediterranean Journal of Social Sciences, 6(3 S7), 79-89.
  6. Basu, S., & Basu, P. (2005). Regional disparity in Australia: Analysis of gender development index. International Review of Business Research Papers, 1(2), 56-66.
  7. Blashfield, R. K., & Aldenderfer, M. S. (1988). The methods and problems of cluster analysis. In Handbook of multivariate experimental psychology (pp. 447-473). Springer US.
  8. Brauksa, I. (2013). Use of cluster analysis in exploring economic indicator. Differences among regions: the case of Latvia. Journal of Economics, Business and Management, 1(1), 42-45.
  9. Caliński, T., & Harabasz, J. (1974). A dendrite method for cluster analysis. Communications in Statistics-theory and Methods, 3(1), 1-27.
  10. Everitt, B.S., Landau, S., Leese, M., & Stahl, D. (2011). Cluster analysis. Chichester: John Wiley & Sons.
  11. Eurostat. (2016). Regional Database. Retrieved from http://ec.europa.eu/eurostat/web /regions /data/database (reffered on 12/11/2016).
  12. Grimm, M., Harttgen, K., Klasen, S., Misselhorn, M., Munzi, T., & Smeeding, T. (2010). Inequality in human development: An empirical assessment of 32 countries. Social Indicators Research, 97(2), 191-211.
  13. Halaskova, M., & Halaskova, R. (2015). The structure and financial dimensions of public administration in EU countries. Transylvanian Review of Administrative Sciences, 11(45), 41-57.
  14. Hardeman, S., & Diikstra, L. (2012). The EU Regional Human Development Index, Report EUR 26817 EN. Luxembourg: Publications Office of the European Union.
  15. Hoeller, P., Joumard, I., Pisu, M., & Bloch, D. (2014). Mapping income inequality across the OECD. Income Inequality in OECD Countries: What are the Drivers and Policy Options.
  16. Kasim, J., Fron, H., & Yaqub, H. (2011). Using cluster analysis to assess the dimensions of the HDI in Iraq for 2006. Journal of Research Diyala humanity, 49, 625-649.
  17. Lipták, F., Klasová, S., & Kováč, V. (2015). Special Economic Zone Constitution According to Cluster Analysis. Procedia Economics and Finance, 27, 186-193.
  18. Majerova, I. (2012). Least Developed Countries in Indexes of Human Development and Poverty. In Proceedings of the 18th IBIMA Conference Innovation and Sustainable Economic Competitive Advantage: Emm Regional Development to World Economies (pp. 1210-1224).
  19. Majerova, I., & Nevima, J. (2016). The application of cluster analysis in measurement of human development. In: Proceedings of 4th Conference STRATEGICA. Opportunities and Risks in the Contemporary Business Environment, Bucharest: SNSPA, (pp.110-121).
  20. Meloun, M. (1994). Statistické zpracování experimentálních dat v chemometrii, biometrii, ekonometrii a dalších oborech přírodních, technických a společenských věd. Praha: Plus.
  21. Punj, G., & Stewart, D. W. (1983). Cluster analysis in marketing research: Review and suggestions for application. Journal of marketing research, 134-148.
  22. Ravallion, M. (2012). Troubling tradeoffs in the human development index. Journal of Development Economics, 99(2), 201209.
  23. Rende, S., & Donduran, M. (2013). Neighborhoods in development: human development index and self-organizing maps. Social Indicators Research, 110(2), 721-734.
  24. Sen, A. (1999). Development as Freedom. Oxford: Oxford University Publishing.
  25. Stiglitz, J. E., Sen, A., & Fitoussi, J. P. (2010). Report by the commission on the measurement of economic performance and social progress. Paris: Commission on the Measurement of Economic Performance and Social Progress.
  26. Todaro, M. P., & Smith, S. C. (2011). Economic Development. Essex: Pearson Education.
  27. Tryon, R. C. (1939). Cluster Analysis Ann Arbor. MI: Edwards Brothers.
  28. UNDP. (2013). Human Development Report. The Rise of the South Human Progress in a Diverse World. New York: UNDP. UNDP. (2015). Human Development Report. Work for Human Development. New York: UNDP.
  29. Ulengin, F., Kabak, O., Onsel, §., & Akta§, E. (2009). Assessment of implication of competitiveness on human development of countries through data envelopment analysis and cluster analysis. In Financial Modeling Applications and Data Envelopment Applications (pp. 199-226). Emerald Group Publishing Limited.
  30. Vázquez, S. T., & Sumner, A. (2012). Beyond Low and Middle Income Countries: What if There Were Five Clusters of Developing Countries?. IDS Working Papers, 2012(404), 1-40.
  31. Van den Bergh, J. C. (2009). The GDP paradox. Journal of Economic Psychology, 30(2), 117-135.
  32. Ward Jr, J. H. (1963). Hierarchical grouping to optimize an objective function. Journal of the American statistical association, 58(301), 236-244.
  33. Yang, Y., & Hu, A. (2008). Investigating regional disparities of China's human development with cluster analysis: A historical perspective. Social Indicators Research, 86(3), 417-432.
  34. Zelazny, R. (2015). Model of Information Society Measurement-Framework and Selected Outcomes. Economics & Sociology, 8(3), 245-259.
Cytowane przez
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ISSN
2071-8330
Język
eng
URI / DOI
http://dx.doi.org/10.14254/2071-8330.2017/10-2/17
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