Skip to main content
Log in

Future Population Developments in Europe. Is the Concept of Convergence Indisputable? Towards the Role of Geographical Thinking in Population Forecasting

  • Published:
Applied Spatial Analysis and Policy Aims and scope Submit manuscript

Abstract

The paper summarizes (not exhaustively) opinions on the potential convergence and divergence of population developments in general and within Europe particularly. There is an attempt to answer the question, whether the convergence concept is irrefutable or not. We discuss the major geographical factors of future convergence/divergence. We also present the empirical demographic projection of the EU countries, which we see as a boundary from the viewpoint of possible convergence and divergence. This empirical evidence is quite a unique view on the boundaries among which the population developments are likely to go on in coming decades. Instead of the probabilistic approaches, we just model the potential extremes (total equalization and current differentiation) using the deterministic approach. We demonstrate what differences would be if given assumptions were actual. The simpler this approach, the more readable for decision makers. Further, we explicitly stress and present the role of geographical thinking in the regional forecasting. We see the key role of geography mainly in measuring and shaping of future inequalities with respect to the national and regional population developments. If Europe is perceived as a multi-regional demographical system of countries, a systematic geographical approach is an essential base for quality forecasts. Since demographers do not often deal with purely geographical and spatially oriented methods, the role of geography is irreplaceable in the process.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9

Similar content being viewed by others

References

  • Alders, M., Keilman, N., & Cruisen, H. (2007). Assumptions for long-term stochastic population forecasts in 18 European population countries. European Journal of Population, 23, 33–69.

    Google Scholar 

  • Bleha, B., Durček, P. (2019). An interpretation of the changes in demographic behaviour at a sub‐national level using spatial measures in post‐socialist countries: A case study of the Czech Republic and Slovakia. Papers in Regional Science, 98, 331-352.

  • Azose, J.J., Ševčíková, H., & Raftery, A.E. (2016). Probabilistic population projections with migration uncertainty. (2016). Proceedings of the National Academy of Sciences of the United States of America, 113, 6460–6465.

  • Bauer, R., & Fassmann, H. (2010). Thinking spatially: A demographic classification of European regions. Extended abstract. UPC 2010, Vienna. epc2010.princeton.edu/download.aspx?submissionId=100892 Accessed 25 July 2010.

  • Begall, K., & Mills, M. (2011). The impact of subjective work control, job strain and work–family conflict on fertility intentions: A European comparison. European Journal of Population, 27, 433–456.

    Google Scholar 

  • Behrendt, H. (2010). Regionale Analyse der Mortalität in den alten und neuen Bundesländern. Koln: JOSEF EUL VERLAG GmbH.

    Google Scholar 

  • Bernhardt, E. M. (1993). Fertility and employment. European Sociological Review, 9, 25–42.

    Google Scholar 

  • Bijak, J. (2010). Forecasting international migration in Europe: A Bayesian view. (springer series on demographic methods and population analysis; no. 24). Dordrecht: Springer. https://doi.org/10.1007/978-90-481-8897-0.

    Book  Google Scholar 

  • Bijak, J., Kupiszewska, D., Kupiszewski, M., Saczuk, K., & Kicinger, A. (2007). Population and labour force projections for 27 European countries, 2002-2052: Impact of international migration on population ageing. European Journal of Population, 23, 1–31.

    Google Scholar 

  • Billari, F.C. & Wilson, CH. (2001). Convergence towards diversity? Cohort dynamics in the transition to adulthood in contemporary Western Europe. MPIDR Working paper. http://www.demogr.mpg.de/Papers/Working/wp-2001-039.pdf, Accessed 4 January 2011.

  • Billari, F. C., Philipov, D., & Testa, M. (2009). Attitudes, norms and perceived behavioural control: Explaining fertility intentions in Bulgaria. European Journal of Population, 25, 439–465.

  • Billingsley, S. (2010). The post-communist fertility puzzle. Population Research and Policy Review, 29, 193–231.

  • Bleha, B., & Durček, P. (2019). An interpretation of the changes in demographic behaviour at a sub‐national level using spatial measures in post‐socialist countries: A case study of the Czech Republic and Slovakia. Papers in Regional Science, 98, 331–352.

  • Bocuzzo, G., Caltabiano, M., Zuana, G., Loghi, M. (2008). The impact of the bonus at birth on reproductive behaviour in a lowest-low fertility context: Friuli-Venezia Giulia (Italy) from 1989-2005. Vienna Yearbook of Population Research. 125–148

  • Bongaarts, J., & Feeney, G. (1998). On the Quantum and Tempo of Fertility. Population and Development Review, 24, 271–291.

  • Borsi, M. T., & Metiu, N. (2013). The evolution of economic convergence in the European Union. Deutsche Bundesbank: Discussion paper https://www.bundesbank.de/Redaktion/EN/Downloads/Publications/Discussion_Paper_1/2013/2013_08_13_dkp_28.pdf?__blob=publicationFile, .

    Google Scholar 

  • Botev, N. (2008). Can policies enhance fertility in Europe?“ and questions beyond. Vienna Yearbook of Population Research. 29–34.

  • Bucher, H. & Mai, R. (2005). Depopulation and its consequences for the regions of Europe. Council of Europe. http://www.coe.int/t/e/social_cohesion/population/Depopulation%20issues%20report%202005.pdf. Accessed 14 June 2011.

  • Caldwell, J. (1990). What we know about health transition: The cultural, social and behavioural determinants of health. Canberra: Australian National University.

    Google Scholar 

  • Carracedo, P., Debón, A., Iftimi, A., & Montes, F. (2018). Detecting spatio-temporal mortality clusters of European countries by sex and age. International Journal for Equity in Health, 17, 1–19.

    Google Scholar 

  • Christenson, B. A., & Johnson, N. A. (1995). Educational inequality in adult mortality: An assessment with death certificate data from Michigan. Demography, 3, 215–229.

    Google Scholar 

  • Cochrane, S. (1979). Fertility and education. What do we really know? Baltimore: Johns Hopkins University Press.

    Google Scholar 

  • Cutler, D., Deaton, A., & Lleras-Muney, A. (2005). The determinants of mortality. Online document http://www.princeton.edu/rpds/papers/pdfs/cutler_deaton_lleras-muney_determinants_mortality_nberdec05.pdf. Accessed 8 November 2011.

  • Dorbritz, J., & Philipov, D. (2003). Demographic consequences of economic transition in countries of central and eastern Europe. Strasbourg: Council of Europe Publishing.

    Google Scholar 

  • Dorius, S. F. (2008). Global demographic convergence? A reconsideration of changing Intercountry inequality in fertility. Population and Development Review, 34, 519–537.

    Google Scholar 

  • Engelhardt, H., & Prskawetz, A. (2004). On the changing correlation between fertility and female employment over space and time. European Journal of Population, 20, 35–62.

    Google Scholar 

  • European Commission (2016). Regionalisation of demographic and economic projections. Trend and convergence scenarios from 2015 to 2060. JRC Science for Policy Report, Brussels.

  • European Commission (2018). Changes in child and family policies in the EU28 in 2017. European platform for investing in children: Annual thematic report. Brussels.

  • Eurostat (2008). EUROPOP2008 - national level. Data on No Migration Scenario.

  • Fassmann, H., Musel, E., Bauer, R., Melegh, A., & Gruber, K. (2014). Longer-term demographic dynamics in south-East Europe: Convergent, divergent and delayed development paths. Central and Eastern European Migration Review, 3, 150–172.

    Google Scholar 

  • Frejka, T. (2008). Overview chapter 5: Determinants of family formation and childbearing during the societal transition in central and Eastern Europe. Demographic Research, 19, 139–170. http://www.demographic-research.org/Volumes/Vol19/7/default.htm .

  • Gauthier, A. H. (2007). The impact of family policies on fertility in industrialized countries: A review of literature. Population Research and Policy Review, 26, 323–346.

    Google Scholar 

  • Goldstein, J., Lutz, W., & Scherbov, S. (2003a). Long-term population decline in Europe: The relative importance of tempo effects and generational length. Population and Development Review, 29, 699–707.

    Google Scholar 

  • Goldstein, J., Lutz, W., & Testa, M. R. (2003b). The emergence of sub-replacement family size ideals in Europe. Population Research and Policy Review, 22, 479–496.

    Google Scholar 

  • Haines, M. (1989). Social class differentials during fertility decline. England and Wales revisited. Population Studies, 43, 305–323.

    Google Scholar 

  • Herzman, C., Kelly, S., & Bobak, M. (1995). East-west life expectancy gap in Europe: Enviromental and non-enviromental determinants. Dordrecht: Kluwer Academic Publishers.

    Google Scholar 

  • Hummer, R. A., Rogers, R. G., & Eberstein, I. W. (1998). Sociodemographic differentials in adult mortality: A review of analytic approaches. Population and Development Review, 24, 553–578.

    Google Scholar 

  • Kashnitsky, I., de Beer, J. A. A., & van Wissen, L. J. G. (2017). Decomposition of regional convergence in population aging across Europe. Genus, 73, 1–25.

    Google Scholar 

  • Kalwij, A. (2010). The impact of family policy expenditure on fertility in Western Europe. Demography, 47, 503–519.

  • Keilman, N., & Kučera, T. (1991). The impact of forecasting methodology on the accuracy of national population forecasts: Evidence from the Netherlands and Czechoslovakia. Journal of Forecasting, 10, 371–398

  • Kohler, H. P., & Ortega, J. A. (2002). Tempo-adjusted period parity progression measures, fertility postponement and completed cohort fertility. Demographic Research, 6, 92–144.

    Google Scholar 

  • Korotayev, A., Goldstone, J. A., & Zinkina, J. (2015). Phases of global demographic transition correlate with phases of the great divergence and great convergence. Technological Forecasting and Social Change, 95, 163–169.

    Google Scholar 

  • Kučera, T., Kučerová, O., Opara, O. B., & Schaich, E. (Eds.). (2000). New demographic faces of Europe. Berlin: Springer.

    Google Scholar 

  • Lanzieri, G. (2010) Is there a fertility convergence across the member states of the European Union? Methodologies and working papers, 2010 edition, EUROSTAT & European Commission, 137-155.

  • Lutz, W., Skirbekk, V., & Testa, M. R. (2006). The low fertility trap hypothesis. Vienna Yearbook of Population Research, 2006, 167–192.

    Google Scholar 

  • MacKenbach, J. P. (2013). Convergence and divergence of life expectancy in Europe: A centennial view. European Journal of Epidemiology, 28, 229–240.

    Google Scholar 

  • Mackenbach, J. P., Karanikolos, M., & McKee, M. (2013). The unequal health of Europeans: Successes and failures of policies. The Lancet, 381(9872), 1125–1134.

    Google Scholar 

  • Matkovski, Z., Prochniak, M., & Rapacki, R. (2016). Real income convergence between central eastern and Western Europe: Past, present, and prospects. Conference paper. https://www.researchgate.n Accessed 14 June 2011.Et/publication/309212170_Real_Income_Convergence_between_Central_Eastern_and_Western_Europe_Past_Present_and_Prospects, Accessed 14 April 2017.

  • Matysiak, A., Sobotka, T., Vignoli, D. (2018). The great recession and fertility in Europe: A sub-National Analysis. VID Working papers 02/2018. Vienna: Vienna Institute of Demography.

  • McDonald, P. F. (2002). Sustaining fertility through public policy: The range of options. Population-E, 57, 417–446.

    Google Scholar 

  • Monnier, A., & Rychtaříková, J. (1992). The division of Europe into east and west. Population, 4, 129–159.

    Google Scholar 

  • Netrdová, P., & Nosek, V. (2017). Exploring the variability and geographical patterns of population characteristics: Regional and spatial perspectives. Moravian Geographical Reports, 25, 85–94.

    Google Scholar 

  • Novotný, J. (2007). On the measurement of regional inequality: Does spatial dimension of income inequality mater? The Annals of Regional Science, 41, 563–580.

    Google Scholar 

  • Pichler, F., & Wallace, C. (2009). Social capital and social class in Europe. The role of social networks in social stratification. European Sociological Review, 25, 319–332.

    Google Scholar 

  • Pittenger, D. B. (1976). Projecting state and local populations. Cambridge: Ballinger publishing Company.

    Google Scholar 

  • Rose, D., & Harrison, E. (2007). The European socio-economic classification: A new social class Schema for comparative European research. European Societes, 9, 459–490.

    Google Scholar 

  • Rychtaříková, J. (1999). Is Eastern Europe experiencing a second demographic transition? Acta Universitatis Carolinae Geographica, 34, 19–44.

    Google Scholar 

  • Scherbov, S., Mamolo, M. (2006). Probabilistic population projections for the EU-25. European demographic research papers, 1, Vienna Institute of Demography of the Austrian Academy of Sciences.

  • Scherbov, S., Mamolo, M., & Lutz, W. (2007). Probabilistic population projections for the 27 EU member countries based on EUROSTAT projections. European demographic research papers, 2, Vienna Institute of Demography of the Austrian Academy of Sciences.

  • Shaw, CH. (2007). Fifty years of United Kingdom National Population Projections: How accurate have they been? Population trends 128, Office for National Statistics.

  • Shorroks, A. F., & Wan, G. (2005). Spatial decomposition of inequality. Journal of Economic Geography, 5, 59–81.

    Google Scholar 

  • Skirbekk, V. (2008). Trends in fertility by social status. Demographic Research, 18, 145–180.

    Google Scholar 

  • Skirbekk, V., Kohler, H.-P., & Prskawetz, A. (2004). Birth month, school graduation and the timing of births and marriages. Demography, 41, 547–568.

    Google Scholar 

  • Sobotka, T. (2003). Tempo-quantum and period cohort interplay in fertility changes in Europe. Evidence from the Czech Republic, Italy, Netherlands and Sweden. Demographic Research, 8, 151–213.

    Google Scholar 

  • Sobotka, T., Skirbekk, V., & Philipov, D. (2011). Economic recession and fertility in the developed world. Population and Development Review, 37, 267–306.

    Google Scholar 

  • Spijker, J. (2004). Socioeconomic determinants of regional mortality differences in Europe (Population Studies). Amsterdam: Dutch University Press.

  • Stoto, M. A. (1983). The accuracy of population projections. Journal of the American Statistical Association., 78, 13–20.

    Google Scholar 

  • Szabo, M., & Bleha, B. (2018). Changing Educational Pathways and Economic Activity. Time and Space Aspects in Slovakia after 1989. Ekonomický časopis (Journal of Economics) 66, 1031–1050.

  • Theil, H. (1979). World income inequality and its components. Economic Letters, 2, 99–102.

    Google Scholar 

  • Thornton, A. & Philipov, D. (2007). Developmental idealism and family and demographic change in central and Eastern Europe. European Demographic Research Papers 3. Vienna Institute of Demography of the Austrian Academy of Sciences.

  • Vallin, J., Meslé, F., & Valkonen, T. (2001). Trends in mortality and differential mortality. Strasbourg: Council of Europe Publishing.

    Google Scholar 

  • van de Kaa, D. J. (1996). Anchored narratives: The story and findings of half a century of research into determinants of fertility. Population Studies., 50, 389–432.

    Google Scholar 

Download references

Funding

This study was funded by the Slovak Research and Development Agency (grant No. APVV-17-0079).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Branislav Bleha.

Ethics declarations

Conflict of Interest

The author declares that he has no conflict of interest.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Bleha, B. Future Population Developments in Europe. Is the Concept of Convergence Indisputable? Towards the Role of Geographical Thinking in Population Forecasting. Appl. Spatial Analysis 13, 851–873 (2020). https://doi.org/10.1007/s12061-019-09330-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12061-019-09330-6

Keywords

Navigation