Abstract
Population ageing is one of the most important demographic phenomena of this century. Driven by fertility decline and the continuing extension of the life expectancy, the process of population ageing has not been uniform across time and space. Italy has one of the oldest populations in the world. The combination of a very old population and large territorial differences has made Italy an interesting laboratory for studying population ageing. The purpose of this paper is to study how population ageing developed between 2002 and 2014 across different geographical areas within Italy. We analyse patterns of population ageing across the five major socio-economic regions using the 110 provinces of Italy as our spatial units of analysis. We use a statistical model that integrates patterns of variation of population ageing data by accounting for autocorrelation in space and time. The results indicate that the provincial age structures tend to converge and demonstrate the importance of considering the role of space in studies of population ageing.
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Source: Istat data
Source: our elaboration on Istat data
Source: our elaboration on Istat data
Source: our elaboration on Istat data
Source: our elaboration on Istat data
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Notes
The names of the Italian provinces by major socio-economic region are listed in Table 1.
References
Anselin, L. (1988). Spatial econometrics: Methods and models. Dordrecht: Kluwer Academic Publishers.
Bagautdinova, N. G., Panasyuk, M. V., Pudovik, E. M., & Gilmanova, A. (2014). Multivariate statistic analysis of the world population ageing. Mediterranean Journal of Social Sciences, 5(28), 50–55.
Baltagi, B. H., Song, S. H., & Koh, W. (2003). Testing panel data regression models with spatial error correlation. Journal of Econometrics, 117(1), 123–150.
De Castro, M. C. (2007). Spatial demography: An opportunity to improve policy making at diverse decision levels. Population Research and Policy Review, 26(5–6), 477–509.
Elhorst, J. P. (2003). Specification and estimation of spatial panel data models. International Regional Science Review, 26(3), 244–268.
Elhorst, J., & Freret, S. (2009). Yardstick competition among local governments: French evidence using a two-regimes spatial panel data model. Journal of Regional Science, 49(5), 931–951.
Golini, A., Basso, S., & Reynaud, C. (2003). L’invecchiamento della popolazione in Italia: Una sfida per il paese e un laboratorio per il mondo. Giornale di Gerontologia, 51, 528–544.
Goodchild, M. F., Anselin, L., Appelbaum, R. P., & Harthorn, B. H. (2000). Toward spatially integrated social science. International Regional Science Review, 23(2), 139–159.
Heleniak, T. (2003). Geographic aspects of population aging in the Russian Federation. Eurasian Geography and Economics, 44(5), 325–347.
Howell, F. M., Porter, J. R., & Matthews, S. A. (2016). Recapturing space: New middle-range theory in spatial demography. Berlin: Springer.
ISTAT. (2006). Ricostruzione della popolazione residente per età e sesso nei comuni italiani. In Informazioni, Roma (vol. 13).
Kacerova, M., Ondackova, J., & Jozef, M. (2014). Time-space differences of population ageing in Europe. Hungarian Geographical Bulletin, 63(2), 177–199.
Kinsella, K. G., & Phillips, D. R. (2005). Global aging: The challenge of success. Washington, DC: Population Reference Bureau.
Kurek, S. (2003). Spatial distribution of population ageing in Poland in the years 1988–2001. Bulletin of Geography. Socio-Economic Series, 2, 65–75.
Kurek, S. (2011). Double transitions? Regional patterns of population ageing in Poland. Geografiska Annaler: Series B, 93(2), 163–184.
Lobao, L. (2004). Continuity and change in place stratification: Spatial inequality and middle-range territorial units. Rural Sociology, 69(1), 1–30.
Millo, G., & Piras, G. (2012). Splm: Spatial panel data models in R. Journal of Statistical Software, 47(1), 1–38.
Moore, E. G., & Pacey, M. A. (2004). Geographic dimensions of aging in Canada, 1991–2001. Canadian Journal on Aging/La Revue canadienne du vieillissement, 23(5), S5–S21.
Salvini, S., & De Rose, A. (Eds.). (2011). Rapporto sulla Popolazione. L’Italia a 150 anni dall’Unità. Bologna: Il Mulino.
Schoeni, R. F., & Ofstedal, M. B. (2010). Key themes in research on the demography of aging. Demography, 47(1), S5–S15.
Shiode, N., Morita, M., Shiode, S., & Okunuki, K. I. (2014). Urban and rural geographies of aging: a local spatial correlation analysis of aging population measures. Urban Geography, 35(4), 608–628.
Thiede, B. C., & Monnat, S. M. (2016). The great recession and America’s geography of unemployment. Demographic Research, 35(30), 891–928.
United Nations. (2013). World population ageing 2013. New York: Department of Economic and Social Affairs.
Walford, N. S., & Kurek, S. (2008). A comparative analysis of population ageing in urban and rural areas of England and Wales, and Poland over the last three census intervals. Population, Space and Place, 14(5), 365–386.
Xie, B., Zhou, J., & Luo, X. (2015). Mapping spatial variation of population aging in China’s mega cities. Journal of Maps, 12(1), 181–192.
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Reynaud, C., Miccoli, S. & Lagona, F. Population Ageing in Italy: An Empirical Analysis of Change in the Ageing Index Across Space and Time. Spat Demogr 6, 235–251 (2018). https://doi.org/10.1007/s40980-018-0043-6
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DOI: https://doi.org/10.1007/s40980-018-0043-6