Social convergence in Nordic countries at regional level

  • Marta Kuc Gdansk University of Technology


Research background: Geographical proximity, common historical roots and collaboration within the Nordic Council cause the Nordic countries to be often wrongly treated as monoliths. However, in reality, Nordic regions differ in terms of broadly defined social and economic development. Issues concerning the standard of living are one of the priorities of the Helsinki Treaty signed by Nordic countries.
Purpose of the article: The main goal of this paper is to analyze the existence of the social convergence in the Nordic NUTS-3 regions over the 2000-2015 period. The social convergence refers to a reduction in the dispersion of the standard of living across regions. The results of this analysis may be helpful in evaluating the efficiency of the activities under third and fourth Nordic Strategy for Sustainable Development.
Methods: The spatial taxonomic measure of development proposed by Pietrzak was used as the standard of living approximation. Inclusion of spatial relationships in the construction of taxonomic measure of development is justified as regions are not isolated in space and can be affected by other units. The existence of beta-, sigma- and gamma convergence was tested for global spatial aggregate measure and as well for sub-groups of determinants forming the standard of living.
Findings and Value added: The analysis showed that the regions with the highest standard of living are those situated on the west coast of Norway. Regions with the lowest standard of living were the ones located in central Finland. However, the most important part of this research was to investigate the existence of beta-, sigma- and gamma- social convergence. The results show that there is no convergence for global standard of living measure. However, the convergence occurs in groups of determinants of education and health care.


A good life in a sustainable Nordic region. Nordic strategy for sustainable development (2013). Retrieved from 701472/FULLTEXT01.pdf. (15.07.2015).
Anioł, W. (2013). Szlak Norden. Modernizacja po skandynawsku. Elipsa Dom Wydawniczy.
Antczak, E. (2013). Przestrzenny taksonomiczny miernik rozwoju. Wiadomości Statystyczne, 7.
Balcerzak, A. P. (2015). Europe 2020 strategy and structural diversity between old and new member states. Application of zero-unitarizatin method for dynamic analysis in the years 2004-2013. Economics & Sociology, 8(2). doi: 10.14254/2071-789X.2015/8-2/14.
Balcerzak, A. P. (2016). Multiple-criteria evaluation of quality of human capital in the European Union countries. Economics & Sociology, 9(2). doi: 10.14254/2071-789X.2016/9-2/1.
Balcerzak, A. P., & Pietrzak, M. P. (2016a). Application of TOPSIS method for analysis of sustainable development in European union countries. In T. Loster & T. Pavelka (Eds.). The 10th international days of statistics and economics. Conference proceedings. September 8-10, 2016. Prague: Libuse Macakova, Melandrium. Retrieved form: /19.htm (02.11.2016).
Balcerzak, A. P., & Pietrzak, M. B. (2016b). Quality of human capital in European Union in the years 2004-2013. Application of structural equation modeling. In M. Reiff & P. Gezik (Eds.). Proceedings of the international scientific conference quantitative methods in economics multiple criteria decision making XVIII. Vratna: Letra Interactive. Retrieved form: bookchap/pesecchap/14.htm. (01.11.2017).
Barro, R., & Sala-i-Matin, X. (1992). Convergence. Journal of Political Economy, 100. doi: 10.1086/261816.
Berbeka, J. (2006). Konwergencja gospodarcza a konwergencja społeczna krajów Unii Europejskiej (15) w latach 1985-2002. In M. Woźniak (Ed.). Nierówności społeczne a wzrost gospodarczy w dobie globalizacji i regionalizacji. Rzeszów: Wydawnictwo Uniwersytetu Rzeszowskiego.
Boyle, G. E., & McCarthy, T. G. (1999). Simple measures of convergence in per capita GDP: A note on some further international evidence. Applied Economics Letters,6(6). doi: 10.1080/135048599353041.
Buccellato, T. (2007). Convergence across Russian regions: a spatial econometrics approach. Economics Working Paper No. 72.
Bywalec, C., & Wydymus, S. (1992). Poziom życia ludności Polski w porównaniu z krajami europejskiej wspólnoty gospodarczej. Ekonomista, 5/6.
Clarke, M. (2005). Assessing well-being using hierarchical needs. World Institute for Development Economics Research Research Paper., No. 2005/22. Retrieved from (19.04.2014).
Daly, H. E., & Cobb, J. B. Jr. (1990). For the common good. Redirecting economy towards community, the environment and a sustainable future. London: Beacon Press.
Fingleton, B., & Lopez-Bazo, E. (2006). Empirical growth models with spatial effects. Papers in Regional Science. Regional Science Association International. doi: 10.1111/j.1435-5957.2006.00074.x.
Global peace index 2015. Measuring peace, its causes and its economic value (2015). Institute for Economic&Peace. Retrieved from http://economics 0.pdf (16.10.2016).
Griffith, D. A. (1996). Some guidelines for specifying the geographic weights matrix contained. In S. L. Arlinghaus (Ed.). Practical handbook of spatial statistics. CRC Press.
Hobijn, B., & Franses, P. H. (2001). Are living standards converging? Structural Change and Economic Dynamics, 12.
Hilson, M. (2008). The Nordic model. Scandinavia scine 1945. London: Reaktion Books Ltd.
Human development report 2015. Work for human development (2015). Retrieved from (16.10.2016).
Khan, H. (1991). Measurement and determinants of socioeconomic development: a critical conspectus. Social Indicator Research, 24(2). doi: 10.1007/BF00 300358.
Kuc, M. (2014). The implementation of the taxonomic spatial measure of development in the analysis of convergence in the standard of living. Acta Universitatis Lodziensis. Folia Oeconomica, 6(309). doi: 11089/21.
Kuc, M. (2015). Wpływ sposobu definiowania macierzy wag przestrzennych na wynik porządkowania liniowego państw Unii Europejskiej pod względem poziomu życia ludności. Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu - Research Papers of Wrocław University of Economics, 384.
LeSage, J. P. (1999). The theory and practice of spatial econometrics. Retrieved from (03.12.2013).
Molina, G. G., & Purser, M. (2010). Human development trends since 1970: a social convergence story. UNDP-HDRO. Occasional Papers, 2/2010, Retrieved from (12.06.2013).
Neumayer, E. (2003). Beyond income: convergence in living standards, big time. Structural Change and Economic Dynamics, 14. doi: 10.1016/S0954-349X(02)00047-4.
OECD Better life index (2013). Retrieved from (13.02.2014).
Pietrzak, M. B. (2014). Taksonomiczny miernik rozwoju (TMR) z uwzględnieniem zależności przestrzennych. Przegląd Statystyczny, 2.
Pietrzak, M. B. (2016a). The problem of inclusion of spatial dependence within the TOPSIS method. Mountenegrin Journal of Economics, 12(3). doi: 10.14254/1800-5845.2016/12-3/5.
Pietrzak, M. B. (2016b). Zastosowanie przestrzennego taksonomicznego miernika rozwoju (pTMR) w analizie rynku pracy w Polsce. Studia Ekonomiczne. Zeszyty Naukowe Uniwersytetu Ekonomicznego w Katowicach, 291.
Pietrzak, M. B., & Balcerzak, A. P. (2016a). Assessment of socio-economic sustainability in new European Union members states in the years 2004-2012. In M. Papież & S. Śmiech (Eds.). The 10th professor Aleksander Zelias international conference on modelling and forecasting of socio-economic phenomena. Conference proceedings. Cracow: Foundation of the Cracow University of Economics. Retrieved from: /11.htm (11.11.2016).
Pietrzak. M. B., & Balcerzak, A. P. (2016b). Socio-economic sustainability in Poland. SEM analysis at regional level. In T. Kliestik (Ed.). 16th international scientific conference globalization and its socio-economic consequences. University of Zilina, The Faculty of Operation and Economics of Transport and Communication, Department of Economics, 5th – 6th October 2016. (Part IV.). Zilina: University of Zilina, Retrieved from bookchap/pesecchap/23.htm (11.11.2016).
Pietrzak, M. B., Wilk, J., Bivand, R., & Kossowski, T. (2014a). The application of local indicators for categorical data (LICD) in identifying of spatial dependences in the analysis of socio-economic development. Comparative Economic Research. Central and Easter Europe, 17(4).
Pietrzak, M. B., Wilk, J., Kossowki, T., & Bivand, R., (2014b). The identification of spatial dependence in the analysis of regional economic development - join-count test application. In M. Papież & Śmiech (Eds.). Proceedings of the 8th professor Aleksander Zelias international conference on modelling and forecasting of socio-economic phenomena. Cracow: Foundation of the Cracow University of Economics.
Puss, T., Viies, M., & Maldre, R. (2003). Convergence analysis in social protection expenditure in the European Union. Retrieved from (09.10.2013).
Sala-i-Matin, X. (1996). The classicial approach to convergence analysis. Economic Journal, 106.
Sobolewski, M., Migała-Warchoł, A., & Mentel, G. (2014). Ranking poziomu życia w powiatach w latach 2003-2012 z uwzględnieniem korelacji przestrzennych. Acta Universitatis Lodziensis, Folia Oeconomica, 6(308).
Stiglitz, J. E., Sen, A., & Fitoussi, J. (2009). Report by the commission on the measurement of economic performance and social progress. Retrieved from (21.05.2013).
The global competitiveness report 2015–2016 (2015). Retrieved from (16.10.2016).
The Helsinki treaty (1962). Retrieved from (14.11.2015).
The legatum prosperity index ranking 2015 (2015). Retrieved from (16.10.2016).
The lottery of live. Where to be born in 2013 (2013). Retrieved from (13.02.2014).
Tobler, W. R. (1970). A computer movie simulating urban growth in the Detroit region. Economic Geography, 46. doi: 10.2307/143141.
Vu, J., Wu, G., Zhou, Q., & Li, M., (2014). Spatial variation of regional sustainable development and its relationship to the allocation of science and technology resources. Sustainability, 6(9). doi:10.3390/su6096400.
World happiness report 2016. Volume I (2016). Retrieved from b.pdf. (16.10.2016).
World happiness report 2017 (2017). Retrieved from (27.03.2017).
How to Cite
Kuc, M. (2017). Social convergence in Nordic countries at regional level. Equilibrium. Quarterly Journal Of Economics And Economic Policy, 12(1), 25-41. doi:10.24136/eq.v12i1.2
Regional convergence and growth based on innovations