Modified human development index and its weighted alternative – the case of Visegrad Four plus Austria and Slovenia

Jan  Nevima; Zuzana  Kiszová

doi:10.23762/fso_vol5no2_17_8

Published : 2017-06-14

Vol. 5 No. 2 (2017)

Modified human development index and its weighted alternative – the case of Visegrad Four plus Austria and Slovenia

Jan Nevima

Zuzana Kiszová

DOI: https://doi.org/10.23762/fso_vol5no2_17_8

Abstract

The paper solves the problem of alternative access towards modified human development index (MHDI) of the Visegrad Four Group Plus NUTS 2 regions. Analytic hierarchy process (AHP) is one of multicriteria decision-making methods. It is based on pairwise comparison matrices and eigenvector method. AHP enables to derive unknown/undetermined priorities of factors. The basic aim of the contribution is due to the method of analytic hierarchy process to define the position of NUTS 2 regions in period of 2004-2013 years. The sense of applying the method will be setting the ranking of NUTS 2 regions reflecting their HDI for the year. AHP is used to derive unknown or undetermined weights of macroeconomic indicators influencing the MHDI.

Keywords:

Human development index, analytic hierarchy process, eigenvalue method, Visegrad Four Group Plus, NUTS 2

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Nevima, J. ., & Kiszová, Z. . (2017). Modified human development index and its weighted alternative – the case of Visegrad Four plus Austria and Slovenia. Forum Scientiae Oeconomia, 5(2), 102–111. https://doi.org/10.23762/fso_vol5no2_17_8

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References

Ablhamid, R.K., Santoso, B., Muslim, M.A. (2013), Decision making and evaluation system for employee recruitment using fuzzy analytic hierarchy process, International Refereed Journal of Engineering and Science, 2(7): 24-31.

Albayrak, E., Erensal, Y.C. (2004), Using analytic hierarchy process (AHP) to improve human performance: An application of multiple criteria decision making problem, Journal of Intelligent Manufacturing, 15(4): 491-503.

Gardiner, B.R., Martin, R., Tyler, P. (2004), Competitiveness, productivity and economic growth across the European regions, Regional Studies, 38(9): 1045- -1067.

Gavalec, M., Ramík, J., Zimmerman, K. (2015), Decision making and optimization: Special matrices and their applications in economics and management, Berlin: Springer International Publishing.

Gungor, Z., Serhadlıoglu, S., Kesen, S.E. (2009), A fuzzy AHP approach to personnel selection problem, Applied Soft Computing, 9: 641-646.

Holland, S. (1987), The market economy: From micro to mesoeconomics, London: Wiedenfeld & Nicolson.

Hsiao, W.-H., Chang, T.-S., Huang, M.-S., Chen, Y.-C. (2011), Selection criteria of recruitment for information systems employees: Using the analytic hierarchy process (AHP) method, African Journal of Business Management, 5(15): 6201- -6209.

Meyer, C.D. (2000), Matrix analysis and applied linear algebra: Book and solutions manual, Philadelphia: SIAM.

Nevima, J. (2014), Konkurenceschopnost regionů Visegrádské čtyřky (teoretické a empirické přístupy k vymezení, měření a hodnocení), Praha: Professional Publishing.

Porter, M.E. (1990), The competitive advantage of nations, New York: The Free Press.

Porter, M.E. (2003), The economic performance of regions, Regional Studies, 37(6/7): 549-578.

Saaty, T.L. (1994), Fundamentals of decision making and priority theory with the analytic hierarchy process, Pittsburgh: RWS Publications.

Viassone, M. (2008), The regional competitive index as a tool to improve regional forecasting: Theory and evidence from two Western European regions, paper presented at 8th Global Conference on Business & Economics, 18-19 October, Florence (Italy).

Viturka, M. (2007), Konkurenceschopnost regionů a možnosti jejího hodnocení, Politická ekonomie, 5: 637-658.

Jan Nevima

nevima@opf.slu.cz

Affiliation:

Silesian University in Opava, School of Business Administration in Karvina, Czech Republic Czechia

Bio Statement (e.g., department and rank)

Jan Nevima is Associate Professor at the Silesian University in Opava, School of Business Administration in Karvina, Czech Republic. His research interests are econometric and multi-criteria analysis for assessment of regional and national competitiveness and convergence. He is the author (co-author) of 2 monographs, 1 textbook and several papers published in home and foreign journals and conference proceedings.

Zuzana Kiszová

kiszova@opf.slu.cz

Affiliation:

Silesian University in Opava, School of Business Administration in Karvina, Czech Republic Czechia

Bio Statement (e.g., department and rank)

Zuzana Kiszová is Assistant at the Silesian University in Opava, School of Business Administration in Karvina, Czech Republic. Her research is focused on multicriteria desicion making. She is author and coauthor of papers published in home and foreign conference proceedings.