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Population ageing dynamics in the North Atlantic region of the Arctic

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  • Anastasia Emelyanova
  • Arja Rautio

Abstract

This paper contributes to our understanding of the demographic developments and the transition to older age structures in the sparsely populated Arctic region: in Iceland and in the two Danish autonomous territories of the Faroe Islands and Greenland.We compare the population ageing dynamics of the region with those of mainland Denmark for the 1980–2015 period.We also examine whether population ageing has been developing differently in the communities of the North than in Denmark, and shed light on the question of whether a regionally specific policy approach to population ageing is required. In our study, ageing is measured by applying a dual methodology. The two sets of indicators are based on calculations of “chronological” and “prospective” ages. The latter is an innovative approach developed by Sanderson and Scherbov (2008) that considers improvements in life expectancy over time. Our results show that the size of the North Atlantic region’s older population is well below the Danish national average. According to chronological indicators, the ageing rates have been rising in recent years. Prospective indicators, which take into account changes in population longevity, also provide information about competing trends in population rejuvenation. In addition, the prospective approach reveals a cross-territorial convergence in recent decades, as well as a slower pace of ageing that can be accounted for in policy planning.

Suggested Citation

  • Anastasia Emelyanova & Arja Rautio, 2016. "Population ageing dynamics in the North Atlantic region of the Arctic," Vienna Yearbook of Population Research, Vienna Institute of Demography (VID) of the Austrian Academy of Sciences in Vienna, vol. 14(1), pages 067-88.
  • Handle: RePEc:vid:yearbk:v:14:y:2016:i:1:p:067-88
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    References listed on IDEAS

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    1. Frank T. Denton & Byron G. Spencer, 2000. "Some Demographic Consequences of Revising the Definition of 'Old' to Reflect Future Changes in Life Table Probabilities," Social and Economic Dimensions of an Aging Population Research Papers 22, McMaster University.
    2. Warren C. Sanderson & Sergei Scherbov, 2013. "The Characteristics Approach to the Measurement of Population Aging," Population and Development Review, The Population Council, Inc., vol. 39(4), pages 673-685, December.
    3. Dustmann, Christian & Glitz, Albrecht, 2011. "Migration and Education," Handbook of the Economics of Education, in: Erik Hanushek & Stephen Machin & Ludger Woessmann (ed.), Handbook of the Economics of Education, edition 1, volume 4, chapter 0, pages 327-439, Elsevier.
    4. Wolfgang Lutz & Warren Sanderson & Sergei Scherbov, 2008. "The coming acceleration of global population ageing," Nature, Nature, vol. 451(7179), pages 716-719, February.
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    Cited by:

    1. Arja Rautio & Natalia Kukarenko & Lena Maria Nilsson & Birgitta Evengard, 2021. "Climate Change in the Arctic—The Need for a Broader Gender Perspective in Data Collection," IJERPH, MDPI, vol. 18(2), pages 1-8, January.
    2. Warren Sanderson & Sergei Scherbov, 2016. "A unifying framework for the study of population aging," Vienna Yearbook of Population Research, Vienna Institute of Demography (VID) of the Austrian Academy of Sciences in Vienna, vol. 14(1), pages 007-40.

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