Acta Univ. Agric. Silvic. Mendelianae Brun. 2019, 67(4), 947-956 | DOI: 10.11118/actaun201967040947

Socio-Economic Development and Diversity of the Selected CEC Regions After the EU Enlargement

Ingrid Majerová, Jan Nevima
Department of Economics and Public Administration, School of Business Administration in Karviná, Silesian University, Univerzitní nám. 1934/3, 733 40 Karviná, Czech Republic

Development and diversity is connected not only with GDP or GNI per capita level, but often with measurement of another socio-economic indicators as rate of unemployment, health and education fields or households equipment. The aim of this paper is, with the quantification of socio-economic indicators, to describe the development of regional diversification using cluster analysis at the regional level of selected Central European Countries after enlargement of European Union. The regions at NUTS 2 level of the Czech Republic, Hungary, Poland, Slovakia and Slovenia were selected for this purpose. There are 37 regions on the NUTS 2 level - eight in the Czech Republic, seven in Hungary, sixteen in Poland, four in Slovakia and two in Slovenia. The research was made in the first two programming periods after the big enlargement of EU - from 2004 to 2006 and 2007 to 2013 with their comparison. According to hierarchical cluster procedures, using the Ward method, the five clusters were set and it was found that regional diversity still exists and positive development recorded only forty nine percent of the monitored regions.

Keywords: cluster analysis, development, diversity, regions, socio-economic indicators, Central European Countries, Ward method
Grants and funding:

This work was supported by the grant project "SMART technologies to improve the quality of life in cities and regions" [grant number CZ.02.1.01/0.0/0.0/17_049/0008452].

Received: January 11, 2019; Accepted: June 7, 2019; Published: August 26, 2019  Show citation

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Majerová, I., & Nevima, J. (2019). Socio-Economic Development and Diversity of the Selected CEC Regions After the EU Enlargement. Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 67(4), 947-956. doi: 10.11118/actaun201967040947
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    References

    1. ANAND, S. and BÄRNIGHAUSEN, T. 2004. Human resources and health outcomes: cross-country econometric study. The Lancet, 364(9445): 1603-1609. DOI: 10.1016/S0140-6736(04)17313-3 Go to original source...
    2. BLASHFIELD, R. K. and ALDENDERFER, M. S. 1988. The methods and Problems of Cluster Analysis. In: Nesseldroade, J. R. et al. (Eds.). Handbook of Multivariate Experimental Psychology. New York: Plenum Press, pp. 447-474. Go to original source...
    3. BLOOM, D. and CANNING, D. 2003. Health as Human Capital and its Impact on Economic Performance. The Geneva Papers on Risk and Insurance, 28(2): 304-315. DOI: 10.1111/1468-0440.00225 Go to original source...
    4. CALIŃSKI, T. and HARABASZA, J. 1974. A dendrite method for cluster analysis. Communications in Statistics, 3(1): 1-27. Go to original source...
    5. CLAYTON, M., LINARES-ZEGARA, J. and WILSON, J. O. S. 2015. Does debt affect health? Cross country evidence on the debt-health nexus. Social Science & Medicine, 130: 51-58. DOI: 10.1016/j.socscimed.2015.02.002 Go to original source...
    6. COMBER, A., BRUNSON, C. and RADBURN, R. 2011. A spatial analysis of variations in health access: linking geography, socio-economic status and access perceptions. International Journal of Health Geographics, 10: 44. DOI: 10.1186/1476-072X-10-44 Go to original source...
    7. DAS, A. 1999. Socio-economic Development in India: A Regional Analysis. Development and Society, 28(2): 313-345.
    8. EUGENIO-MARTIN, J. L., MORALES, N. M. and SCARPA, R. 2004. Tourism and Economic Growth in Latin American Countries: A Panel Data Approach. FEEM Working Paper No. 26.2004. Milano: FEEM. Go to original source...
    9. EUROSTAT. 2018. Regional Database [Online]. Available at: http://ec.europa.eu/eurostat/web/regions/data/database [Accessed: 2018, June 3].
    10. FINGELTON, B. 2003. European Regional Growth. Berlin Heidelberg: Springer-Verlag.
    11. GABDRAKHMANOV, N. K. and RUBTSOV, V. A. 2014. Tourist and Recreational Positioning of Tatarstan Republic: Cluster Analysis. World Applied Sciences Journal (Management, Economics, Technology & Tourism), 30: 202-205.
    12. HALÁSKOVÁ, M. and HALÁSKOVÁ, R. 2015. The Structure and Financial Dimensions of Public Administration in EU Countries. Transylvanian Review of Administrative Sciences, 45E: 41-57.
    13. HALKOS, G. E. 2003. Environmental Kuznets Curve for sulfur: evidence using GMM estimation and random coefficient panel data models. Environment and Development Economics, 8(4): 581-601. DOI: 10.1017/S1355770X0300317 Go to original source...
    14. ISSA, H. and OUATTARA, B. 2005. The effect of private and public health expenditure on infant mortality rates: does the level of development matters. Damascus Univ. Journal, 28(1): 21-37.
    15. KRONTHALER, F. 2005. Economic capability of East German Regions: Results of a cluster analysis. Regional Studies, 39(6): 739-750. DOI: 10.1080/00343400500213630 Go to original source...
    16. MICHAUD, P-C. and VAN SOEST, A. 2008. Health and wealth of elderly couples: Causality tests using dynamic panel data models. Journal of Health Economics, 27(5): 1312-1325. DOI: 10.1016/j.jhealeco.2008.04.002 Go to original source...
    17. NIJKAMP, P. and ABREU, M. 2009. Regional Development Theory. Serie Research Memoranda, No. 29. VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics. Go to original source...
    18. PÉREZ, E. A. and NADAL, J. R. 2005. Host Community Perceptions A Cluster Analysis. Annals of Tourism Research, 32(4): 925-941. DOI: 10.1016/j.annals.2004.11.004 Go to original source...
    19. PUNJ, G. and STEWART, D. W. 1983. Cluster analysis in Marketing Research: Review and Suggestions for Application. Journal of Marketing Research, 20(2): 134-148. DOI: 10.1177/002224378302000204 Go to original source...
    20. ROVAN, J. and SAMBT, J. 2003. Socio-economic Differences among Slovenian Municipalities: A Cluster Analysis Approach. In: Ferligoj, A. and Mrvar, A. (Eds.). Development in Applied Statistics. Metodološki zveski 19. Ljubljana: FDV.
    21. SAIDI, K. and MAMMAMI, S. 2015. The impact of CO2 emissions and economic growth on energy consumption in 58 countries, Energy Reports, 1: 62-70. DOI: 10.1016/j.egyr.2015.01.003 Go to original source...
    22. SEMYONOV, M., LEWIN-EPSTEIN, N. and MASKILEYSON, D. 2013. Where wealth matters more for health: The wealth-health gradient in 16 countries. Social Science & Medicine, 81: 10-17. DOI: 10.1016/j.socscimed.2013.01.010 Go to original source...
    23. SHAFIK, N. 1994. Economic Development and Environmental Quality: An Econometric Analysis. Oxford Economic Papers, 37: 757-773. DOI: 10.1093/oep/46.Supplement_1.757 Go to original source...
    24. SOARES, J. O, MARQUES, M. M. L. and MONTEIRO, C. M. F. 2003. A multivariate methodology to uncover regional disparities: A contribution to improve European Union and governmental decisions. European Journal of Operational Research, 145(1): 121-135. DOI: 10.1016/S0377-2217(02)00146-7 Go to original source...
    25. TRYON, C. R. 1939. Cluster analysis. Ann Arbor: Edwards Brothers.
    26. ZHANG., C. and ZHUANG, L. 2011. The composition of human capital and economic growth: Evidence from China using dynamic panel data analysis. China Economic Review, 22(1): 165-171. DOI: 10.1016/j.chieco.2010.11.001 Go to original source...
    27. ZURN P., DAL POZ, M. O., STILWELL, B. and ADAMS, O. 2004. Imbalance in the health workforce. Human Resources for Health, 2(13): 595-600. DOI: 10.1186/1478-4491-2-13 Go to original source...

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