[
Aragon, Y., Haughton, D., Haughton, J., Eve Leconte, E., Malin, E., Ruiz-Gazen, A., Thomas-Agnan. C. 2003. Explaining the pattern of regional unemployment: The case of the Midi-Pyrenees region. Papers in Regional Science 82: 155-174.
]Search in Google Scholar
[
Balan, F. 2015. Testing the Demographic – Economic Paradox for Newly Industrialized Countries: A Panel Data Analysis. Economic Insights – Trends and Challenges. 4: 2-10.
]Search in Google Scholar
[
Bartkowska, M., Riedl, A. 2012. Regional convergence clubs in Europe: Identification and conditioning factors. Economic Modelling 29 (1): 22-31.
]Search in Google Scholar
[
Bloom, D., Canning, D., Sevilla, J. 2001. Demographic change and economic growth: the importance of age structure. Economic Growth and the Demographic Transition. NBER Working Paper No. 8685.
]Search in Google Scholar
[
Botrić V. 2003. Regional differences in unemployment: case of Croatia. Paper presented at the 43rd Congress of the European Regional Science Association, Jyväskylä, Finland, August.
]Search in Google Scholar
[
Botrić, V., Šišinački, J., Škuflić, L. 2006. Road infrastructure and regional development: Some evidence from Croatia. In Proccedings from the 46th Congress of the European Regional Science Association” Enlargement, Southern Europe and the Mediterranean, Volos, Greece, August.
]Search in Google Scholar
[
Cruz-Jesus, F., Oliveira, T., Bacao, F. 2012. Digital divide across the European Union. Information & Management 49 (6): 278-291.
]Search in Google Scholar
[
De Haas, H. 2008. The Myth of Invasion: The Inconvenient Realities of Migration from Africa to the European Union. Third World Quarterly 29 (7): 1305-1322.
]Search in Google Scholar
[
Del Campo, C., Monteiro, M. F. C., Soares, J.O. 2008. The European regional policy and the socio-economic diversity of European regions: A multivariate analysis. European Journal of Operational Research 187: 600-612.
]Search in Google Scholar
[
Feyrer, J. 2002. Demographics and Productivity. Working Paper No. 02-10. Dartmouth College.
]Search in Google Scholar
[
Gómez, R., Hernández de Cos, P. 2006. The importance of being mature: the effect of demographic maturation on global per-capita GDP. Journal of Population Economics 21 (3): 589-608.
]Search in Google Scholar
[
Gonzalez, J. I., Morini, S. 2000. Socio-economic and business affairs situation in Tenerife Island. Working Paper 2000-07. Universidad de La Laguna.
]Search in Google Scholar
[
Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E. 2010. Multivariate data analysis. Upper Saddle River, NJ: Pearson Prentice Hall.
]Search in Google Scholar
[
Hartmann, B. 2010. Rethinking climate refugees and climate conflict: Rhetoric, reality and the politics of policy discourse. Journal of International Development. 22 (2): 233-246.
]Search in Google Scholar
[
Hummel, D. 2020. The effects of population and housing density in urban areas on income in the United States. Local Economy 35 (1): 27-47.
]Search in Google Scholar
[
Johnson, R., Wichern, D. 2014. Applied Multivariate Statistical Analysis. Edinburgh Gate, Pearson Education Limited.
]Search in Google Scholar
[
Kelley, A. C., Schmidt, M. R. 2001. Economic and demographic change: A synthesis of models, findings, and perspectives. In Population matters: Demographic change, economic growth, and poverty in the developing world, edited by N. Birdsall, A. C, Kelley, S. W. Sinding, 67-105. Oxford Academic.
]Search in Google Scholar
[
Kronthaler, F. 2003. A Study of the Competitiveness of Regions based on a Cluster Analysis: The Example of East Germany. Discussion paper at 43rd Congress of the European Regional Science Association: “Peripheries, Centres, and Spatial Development in the New Europe”, Jyväskylä, Finland, August.
]Search in Google Scholar
[
Kurnoga-Živadinović, N. 2007. Multivariate classification of Croatian municipalities. Zagreb: Proceedings of the Faculty of Economics in Zagreb 5 (1): 1-15.
]Search in Google Scholar
[
Lipshitz, G., Raveh, A. 2010. Socio-economic Differences among Localities: A New Method of Multivariate Analysis. Regional Studies 32 (8): 747-757.
]Search in Google Scholar
[
Lovrinčević, Ž., Marić, Z., Rajh, E. 2005. How to optimally regionalize Croatia? Economic review 56 (12): 1009-1160.
]Search in Google Scholar
[
Melecký, L. 2012. Evaluation of Cohesion in Visegrad Countries in Comparison with Germany and Austria by Multivariate Methods for Disparities Measurement. International journal of mathematical models and methods in applied sciences 6 (8): 979-989.
]Search in Google Scholar
[
Mujakić, M. I. 2010. Local self-government in the Federation of Bosnia and Herzegovina – concept, competences and bodies. Hrvatska Javna Uprava 10 (4): 1045-1058.
]Search in Google Scholar
[
Osmankovic, J., Somun-Kapetanovic, R., Resic, E., Halilbasic, M. 2009. The Application of Factorial and Cluster Analysis in Regional Policy. Interdisciplinary Management Research 5: 721-730.
]Search in Google Scholar
[
Palevičienėa, A., Dumčiuvienėa, D. 2015. Socio-Economic Diversity of European Regions: Finding The Impact for Regional Performance. Procedia Economics and Finance 23: 1096-1101.
]Search in Google Scholar
[
Pejanović, D., Kordej-De Villa, Ž. 2015. Demographic resources as an indicator and factor of disparities in the regional development of Croatia. Social research 24 (3): 321-343. Peschel, K. 1998. Perspectives of regional development around the Baltic Sea. The Annals of Regional Science 32: 299-320.
]Search in Google Scholar
[
Pettersson, O. 2001. Microregional fragmentation in a Swedish county. Papers Regional Science 80: 389–409.
]Search in Google Scholar
[
Prelogović, V. 2009. Application of factor analysis in the research of the socio-spatial structure of the city: the example of Zagreb. Zagreb: Hrvatski geografski glasnik 71 (1): 67-85.
]Search in Google Scholar
[
Rašić-Bakarić, I. 2005. Application of factor and cluster analysis in the detection of regional inequalities. Privredna kretanja i ekonomska politika 105: 53-76.
]Search in Google Scholar
[
Regulation on the creation of development index. http://www.fbihvlada.gov.ba/bosanski/zakoni/2019/Uredbe/4h.htm. (accessed September 13, 2022).
]Search in Google Scholar
[
Rovan, J., Sambt, J. 2003. Socio-economic Differences Among Slovenian Municipalities: A Cluster Analysis Approach. Developments in Applied Statistics, Metodološki zvezki 19: 265-278.
]Search in Google Scholar
[
Ru’a Vieytes, A., Redondo Palomo, R., Del Campo, C. 2003. Galician socio-economic reality municipal distribution. Revista Galega de Economia 12 (2): 243-262.
]Search in Google Scholar
[
Rummel, R. J. 1970. Applied factor analysis. Evanstopn, IL: Northwestern University Press.
]Search in Google Scholar
[
Soares, J. O., Marquês M. M. L., Monteiro, M.F. 2003. A multivariate methodology to uncover regional disparities: A contribution to improve European Union and governmental decision. European Journal of Operational Research 145 (1): 121-135.
]Search in Google Scholar
[
Stimson, R., Baum, S., Mullins, P., O’Conor, K. 2001. A typology of community opportunity and vulnerability in metropolitan Australia. Papers in Regional Science 80: 45-66.
]Search in Google Scholar
[
Yegorov, Y. 2009. Socio-economic influences of population density. Chinese Business Review 8 (7): 1-12.
]Search in Google Scholar
[
Zarić, S., Vuković, D. 2010. Regional Competitiveness as a Deciding Factor for Investors. In proceedings of Scientific Meeting „Institutional Changes as a Determinant of Economic Development of Serbia in 2010“. Kragujevac, Serbia, February.
]Search in Google Scholar