This article intends to approach the phenomenon of population aging within the conceptual framework of structural transition. In this work the authors put forward a method of defining the variety of evolutionary trajectories – the result of different sets of fertility-mortality interactions – on the global level and hence identify the position of each Balkan country within the worldwide demographic order of the past four decades (1971–2015). The authors then propose a specific index – the structural dissimilarity index – to measure the corresponding transformations inherent to the population age structure and link the results with the prospects that emerge on the basis of the interaction between fertility and mortality. This has finally enabled the authors to formulate some broad assumptions regarding the current and future intensity and trends of structural transformations. For this purpose, the authors have gathered a sample of 142 national populations, including all Balkan countries, with the exception of Montenegro, and employed different techniques such as Partial Order Structuple (Scalogram) Analysis with Coordinates (POSAC) and the cohort-component population projections for the timeframes 1971–2015 and 2015–2060.
Purchase
Buy instant access (PDF download and unlimited online access):
Institutional Login
Log in with Open Athens, Shibboleth, or your institutional credentials
Personal login
Log in with your brill.com account
R. Amar , S. Toledano 2001. Hudap Manual (with Mathematics and Windows Interface) (Jerusalem: The Hebrew University of Jerusalem).
C. Bradatan , G. Firebaugh 2007. “History, Population Policies, and Fertility Decline in Eastern Europe: A Case Study”, Journal of Family History, 32 (2): 179–192.
G. Caselli , F. Meslé , J. Vallin 2002. “Epidemiologic transition theory exceptions”, Genus 58: 9–52.
A. Chan 2005. “Aging in Southeast and East Asia: Issues and Policy Directions”, Journal of Cross-Cultural Gerontology, 20 (4): 269–284.
M. Chawla , G. Betcherman , A. Banerji 2007. From Red to Gray. The “Third Transition” of Aging Populations in Eastern Europe and Former Soviet Union (Washington DC: World Bank)
J.C. Chesnais 1986. La transition démographique. Etapes, formes, implications économiques, Institut national d’études démographiques, Cahier no� 113 (Paris: Presses Universitaires de France).
A. Davies , J. Amity 2011. Geographies of Ageing Social Processes and the Spatial Unevenness of Population Ageing (Surrey: Ashgate).
L. Di Comite 1977. “L’invecchiamento della popolazione nel processo di transizione demografica”, Rivista Italiana di Economia, Demografia e Statistica, 2: 7–28.
S.N. Eisenstadt 2000. Multiple modernities, Daedalus, 129: 1–29.
L.A. Gavrilov , P. Heuveline 2003. “Aging of Population”, in Paul Demeny and Geoffrey McNicoll (eds.), The Encyclopedia of Population (New York: Macmillan Reference USA).
L. Guttman 1972. “A partial order scalogram classification of projective techniques”, in M. Hammer , K. Salzinger & S. Sutton (eds.), Psychology (New York: John Wiley & Sons): 481–490.
P. Heuveline 2003. Mortality and Fertility Interactions: New Insights from Recent Population Dynamics in Cambodia (Chicago: Population Research Center).
T. Kii 1982. A New index for measuring demographic aging, The Gerontologist, 22: 438–442.
R. Lee 2003. “The Demographic Transition: Three Centuries of Fundamental Change”, Journal of Economic Perspectives 17 (4): 167–190.
M. Lerch 2013. “Fertility Decline During Albania’s Societal Crisis and its Subsequent Consolidation”, European Journal of Population, 29(2):. 195–220.
R. Lesthaeghe 1995. “The second demographic transition in Western countries”, in M.K. Oppenheim , A.M. Jensen (eds.), Gender and Family Change in Industrialized Countries (Clarendon: Oxford): 17–62.
S. Levy , L. Guttman 1985. “The Partial-Order of severity of thyroid cancer with the prognosis of survival”, in J.F. Marcotorchino , J.M. Porth J. Janssen (eds.), Data Analysis in Real Life Enviroment: Ins and Outs of Solving Problems (Amsterdam: North Holland/Elsevier): 111–119.
Levy S. 1984. “Partial orders of Israeli settlements by adjustive behavior”, Israel Social Science Research, 2: 44–65.
K. McCracken , D.R. Phillips 2005. International demographic transitions (London: Rutledge Taylor and Francis Group).
R. Ponnapalli , K.M. Ponapalli , A. Subbiah 2013. “Explaining Global Patterns of Population Aging in 2012 by the Demographic Transition Model”, International Journal of Asian Social Science, 3 (2): 345–352.
D.T. Rowland 2009. “Global population aging: History and prospects”, in P. Uhlenberg (ed.), International Handbook of Population Aging, vol. 1 (Springer: London): 37–65.
D.T. Rowland 2012. Population Ageing: The Transformation of Societies (Springer: London).
T. Sobotka 2003. “Re-Emerging Diversity: Rapid Fertility Changes in Central and Eastern Europe after the Collapse of the Communist Regimes”, Population, 58 (4–5): 451–485.
D.J. Van De Kaa 1987. Europe’s second demographic transition, Population Bulletin, 42 (1): 1–59.
W. Zelinsky 1966. A prologue to population geography (Englewood Cliffs: Prentice-Hall).
All Time | Past Year | Past 30 Days | |
---|---|---|---|
Abstract Views | 315 | 42 | 5 |
Full Text Views | 202 | 6 | 3 |
PDF Views & Downloads | 24 | 5 | 0 |
This article intends to approach the phenomenon of population aging within the conceptual framework of structural transition. In this work the authors put forward a method of defining the variety of evolutionary trajectories – the result of different sets of fertility-mortality interactions – on the global level and hence identify the position of each Balkan country within the worldwide demographic order of the past four decades (1971–2015). The authors then propose a specific index – the structural dissimilarity index – to measure the corresponding transformations inherent to the population age structure and link the results with the prospects that emerge on the basis of the interaction between fertility and mortality. This has finally enabled the authors to formulate some broad assumptions regarding the current and future intensity and trends of structural transformations. For this purpose, the authors have gathered a sample of 142 national populations, including all Balkan countries, with the exception of Montenegro, and employed different techniques such as Partial Order Structuple (Scalogram) Analysis with Coordinates (POSAC) and the cohort-component population projections for the timeframes 1971–2015 and 2015–2060.
All Time | Past Year | Past 30 Days | |
---|---|---|---|
Abstract Views | 315 | 42 | 5 |
Full Text Views | 202 | 6 | 3 |
PDF Views & Downloads | 24 | 5 | 0 |