Demografski jaz između istoka i zapada Evropske unije: Regionalni pregled

Glavni sadržaj članka

Marko Galjak

Apstrakt

Cilj ovog rada je da istraži razlike u demografskim pokazateljima između regiona Evropske unije u odnosu na to da li su pripadali bivšim komunističkim državama ili nisu. U radu je problem demografskog jaza između istočne i zapadne Evrope sagledan na regionalnom nivou. Osim tog pregleda, u radu se postavlja pitanje da li je važno ispitivati razlike u pojedinim demografskim pokazateljima između bivših komunističkih država i ostalih država EU na administrativnom nivou nižem od državnog? Ova transverzalna studija je sprovedena koristeći podatke 1.155 NUTS 3 regiona Evropske unije iz 2014. godine. NUTS 3 regioni su podeljeni u dve grupe u zavisnosti od toga da li su pripadali Istočnom bloku ili ne. Ispitan je 21 demografski pokazatelj među kojima su pokazatelji mortaliteta, fertiliteta i starosne strukture. Dodatno, očigledne razlike u ekonomskoj razvijenosti regiona kontrolisane su pomoću bruto domaćeg proizvoda po stanovniku (BDP/c). Na bazi BDP/c, regioni su podeljeni u tri grupe: nizak, srednji, visok. Prema toj podeli, testirana je razlika između dve grupe regiona za svaki pokazatelj. Tako je ispitana regionalna varijacija na nivou cele EU. Dodatno, ispitana je i varijacija unutar pojedinačnih država za svaki pokazatelj. Rezultati pokazuju da je kod mortaliteta najveći jaz između dve grupe regiona. Mortalitetni uslovi su mnogo lošiji na istoku EU. Ova razlika postoji bez obzira na BDP/c, tj. ekonomski najrazvijeniji regioni bivših komunističkih zemalja imaju u proseku viši mortalitet od ostalih regiona sličnog BDP/c. Iako je fertilitet u proseku niži kod bivših regiona komunističkih zemalja, velika razlika je detektovana samo kada je starosni model fertiliteta u pitanju. Prosečna starost majki pri rođenju je značajno veća u ostalim regionima i to bez obzira na BDP/c. Kada je u pitanju starosna struktura, bivši komunistički regioni su u proseku nešto mlađi, ne kao rezultat viših stopa fertiliteta, već viših stopa mortaliteta. Kada je u pitanju regionalna varijacija unutar zemalja EU, mortalitet i starost majki pri rađanju variraju više kod bivših komunističkih država, dok su varijacije u odnosu starih i mladih veće kod država koje nisu pripadale Istočnom bloku. Analiza regionalne varijacije je pokazala da je regionalni pristup veoma relevantan kada se ispituju demografske razlike između „Istoka“ i „Zapada“ u EU. Regionalni pristup je naročito opravdan kada je u pitanju analiza starosnog modela rađanja.

Preuzimanja

Podaci o preuzimanju još uvek nisu dostupni.

Detalji članka

Kako citirati
Galjak, M. (2018). Demografski jaz između istoka i zapada Evropske unije: Regionalni pregled. Stanovništvo, 56(2), 1–21. https://doi.org/10.2298/STNV181003004G
Broj časopisa
Sekcija
Članci

Reference

ÁLVAREZ, V. R., & MOROLLÓN, F. R. (2016). An overview of good practices and policies against aging in European Union. Investigaciones Regionales 34: 139–171. https://www.redalyc.org/pdf/289/28945294007.pdf

BALLAS, D., DORLING, D., & HENNIG, B. (2017). Analysing the regional geography of poverty, austerity and inequality in Europe: a human cartographic perspective. Regional Studies 51(1): 174–185. https://doi.org/10.1080/00343404.2016.1262019

BILLINGSLEY, S. (2010). The Post-Communist Fertility Puzzle. Population Research and Policy Review 29(2): 193–231. https://doi.org/10.1007/s11113-009-9136-7

BOLDRIN, M., & CANOVA, F. (2001). Inequality and convergence in Europe’s regions: reconsidering European regional policies. Economic Policy 16(32): 206–253. https://doi.org/10.1111/1468-0327.00074

BONGAARTS, J., & SOBOTKA, T. (2012). A Demographic Explanation for the Recent Rise in European Fertility. Population and Development Review 38(1): 83–120. https://doi.org/10.1111/j.1728-4457.2012.00473.x

BOTEV, N. (2012). Population ageing in Central and Eastern Europe and its demographic and social context. European Journal of Ageing 9(1): 69–79. https://doi.org/10.1007/s10433-012-0217-9

BOUVET, F. (2010). EMU and the dynamics of regional per capita income inequality in Europe. The Journal of Economic Inequality 8(3): 323–344. https://doi.org/10.1007/s10888-010-9129-0

BRYANT, J. R., & GRAHAM, P. J. (2013). Bayesian Demographic Accounts: Subnational Population Estimation Using Multiple Data Sources. Bayesian Analysis 8(3): 591–622. https://doi.org/10.1214/13-BA820

BURKIMSHER, M. (2015). Europe-wide fertility trends since the 1990s: Turning the corner from declining first birth rates. Demographic Research 32, 621–656. https://doi.org/10.4054/DemRes.2015.32.21

CASELLI, G., MESLÉ, F., & VALLIN, J. (2002). Epidemiologic transition theory exceptions. Genus 58(1): 9–51.

CASTRO, R. (2015). Late-Entry-Into-Motherhood Women Are Responsible for Fertility Recuperation. Journal of Biosocial Science 47(02): 275–279. https://doi.org/10.1017/S0021932014000121

CORSINI, C. A., & VIAZZO, P. P. (eds.) (1993). The Decline of Infant Mortality in Europe. 1850-1950. Four National Case Studies. Firenze: Istituto degli Innocenti.

CRESPO CUARESMA, J., LOICHINGER, E., & VINCELETTE, G. A. (2016). Aging and income convergence in Europe: A survey of the literature and insights from a demographic projection exercise. Economic Systems 40(1): 4–17. https://doi.org/10.1016/j.ecosys.2015.07.003

EUROSTAT (2017a). Bulk Download Repository (electronic resource). Luxembourg: Eurostat. http://ec.europa.eu/eurostat/estat-navtree-portlet-prod/BulkDownloadListing

EUROSTAT (2017b). Countries, 2014. Administrative Units, Dataset. GISCO (electronic resource). Luxembourg: Eurostat. http://ec.europa.eu/eurostat/cache/GISCO/geodatafiles/CNTR_2014_03M_SH.zip

EUROSTAT (2017c). Nomenclature of Territorial Units for Statistics (NUTS) 2013. GISCO (electronic resource). Luxembourg: Eurostat. http://ec.europa.eu/eurostat/cache/GISCO/geodatafiles/NUTS_2013_60M_SH.zip

FAGERLAND, M. W., & SANDVIK, L. (2009). Performance of five two-sample location tests for skewed distributions with unequal variances. Contemporary Clinical Trials 30(5): 490–496. https://doi.org/10.1016/j.cct.2009.06.007

FREJKA, T., & GIETEL-BASTEN, S. (2016). Fertility and Family Policies in Central and Eastern Europe after 1990. Comparative Population Studies 41(1): 3–56. https://doi.org/10.12765/CPoS-2016-03en

GERMAN FEDERAL STATISTICAL OFFICE (2017). GENESIS online (electronic resource). Wiesbaden: Statistisches Bundesamt. https://www.regionalstatistik.de/genesis/online/

GOLDSTEIN, J. R., & KREYENFELD, M. (2011). Has East Germany Overtaken West Germany? Recent Trends in Order-Specific Fertility. Population and Development Review 37(3): 453–472. https://doi.org/10.1111/j.1728-4457.2011.00430.x

GRIGORIEV, P., MESLÉ, F., SHKOLNIKOV, V. M., ANDREEV, E., FIHEL, A., PECHHOLDOVA, M., & VALLIN, J. (2014). The Recent Mortality Decline in Russia: Beginning of the Cardiovascular Revolution? Population and Development Review 40(1): 107–129. https://doi.org/10.1111/j.1728-4457.2014.00652.x

JOHNSON, K. M., FIELD, L., M. & POSTON, D. L. (2015). More Deaths Than Births: Subnational Natural Decrease in Europe and the United States. Population and Development Review 41(4): 651–680. https://doi.org/10.1111/j.1728-4457.2015.00089.x

KEENAN, K., FOVERSKOV, E., & GRUNDY, E. (2016). Les sources de données sur les populations âgées en Europe : comparaison de l’enquête Générations et genre (GGS) et de l’enquête sur la santé, le vieillissement et la retraite (SHARE). Population 71(3): 547–573. https://doi.org/10.3917/popu.1603.0547

KIBELE, E. U. B., KLÜSENER, S., & SCHOLZ, R. D. (2015). Regional Mortality Disparities in Germany: Long-Term Dynamics and Possible Determinants. Kölner Zeitschrift Für Soziologie Und Sozialpsychologie 67(S1): 241–270. https://doi.org/10.1007/s11577-015-0329-2

KLÜSENER, S., & GOLDSTEIN, J. R. (2016). A Long-Standing Demographic East-West Divide in Germany. Population, Space and Place 22(1): 5–22. https://doi.org/10.1002/psp.1870

KLÜSENER, S., PERELLI-HARRIS, B., & SÁNCHEZ GASSEN, N. (2013). Spatial Aspects of the Rise of Nonmarital Fertility Across Europe Since 1960: The Role of States and Regions in Shaping Patterns of Change. European Journal of Population 29(2): 137–165. https://doi.org/10.1007/s10680-012-9278-x

KOHLER, H-P., BILLARI, F. C., & ORTEGA, J. A. (2002). The Emergence of Lowest-Low Fertility in Europe During the 1990s. Population and Development Review 28(4): 641–680. https://doi.org/10.1111/j.1728-4457.2002.00641.x

KRISHNAMOORTHY, K., & LEE, M. (2014). Improved tests for the equality of normal coefficients of variation. Computational Statistics 29(1–2): 215–232. https://doi.org/10.1007/s00180-013-0445-2

LAHTI, L., BIECEK, P., KAINU, M., & HUOVARI, J. (2017). Retrieval and Analysis of Eurostat Open Data with the eurostat Package. The R Journal 9(1): 385-392. http://ropengov.github.io/eurostat

MAGDALENIĆ, I., & VOJKOVIĆ, G. (2015). Changes in the age pattern of childbearing in Serbia and EU countries ‒ comparative analysis. Stanov-ništvo 53(2): 43–66. https://doi.org/10.2298/STNV1502043M

MARTÍNEZ-GALARRAGA, J., ROSÉS, J. R., & TIRADO, D. A. (2015). The Long-Term Patterns of Regional Income Inequality in Spain, 1860–2000. Regional Studies 49(4): 502–517. https://doi.org/10.1080/00343404.2013.783692

MAZUY, M., BARBIERI, M., BRETON, D., & D’ALBIS, H. (2015). L’évolution démographique récente de la France et ses tendances depuis 70 ans. Popu-lation 70(3): 417–486. DOI: 10.3917/popu.1503.0417

MESLÉ, F. (2004). Mortality in Central and Eastern Europe: Long-term trends and recent upturns. Demographic Research Special 2: 45–70. https://doi.org/10.4054/DemRes.2004.S2.3

MESLE, F., & VALLIN, J. (2002). Mortalite en Europe: la divergence Est-Ouest. Population 57(1): 171. https://doi.org/10.2307/1534789

MINAGAWA, Y. (2013). Inequalities in Healthy Life Expectancy in Eastern Europe. Population and Development Review 39(4): 649–671. https://doi.org/10.1111/j.1728-4457.2013.00632.x

MYNARSKA, M. (2010). Deadline for Parenthood: Fertility Postponement and Age Norms in Poland. European Journal of Population 26(3): 351–373. https://doi.org/10.1007/s10680-009-9194-x

PACE, M., LANZIERI, G., GLICKMAN, M., & ZUPANIČ, T. (2013). Revision of the European standard population report of Eurostat’s task force. Luxembourg: Publications Office of the European Union. https://ec.europa.eu/eurostat/documents/3859598/5926869/KS-RA-13-028-EN.PDF/e713fa79-1add-44e8-b23d-5e8fa09b3f8f

PRESTON, S. H. (1975). The Changing Relation between Mortality and Level of Economic Development. Population Studies 29(2): 231. https://doi.org/10.2307/2173509

REHER, D. S. (2015). Baby booms, busts, and population ageing in the developed world. Population Studies 69(sup1): S57–S68. https://doi.org/10.1080/00324728.2014.963421

RODRÍGUEZ-POSE, A., & TSELIOS, V. (2009). Mapping regional personal income distribution in Western Europe: Income per capita and inequality. Finance a Uver ‒ Czech Journal of Economics and Finance 59(1): 41–70. http://ideas.repec.org/a/fau/fauart/v59y2009i1p41-70.html

SANTANA, P. (2000). Ageing in Portugal: regional iniquities in health and health care. Social Science & Medicine 50(7–8): 1025–1036. https://doi.org/10.1016/S0277-9536(99)00352-4

SOBOTKA, T. (2003). Le retour de la diversité: La brusque évolution de la fécondité en Europe centrale et orientale après la chute des régimes communistes. Population 58(4/5): 511. https://doi.org/10.2307/3271307

SPÉDER, Z., & KAPITÁNY, B. (2014). Failure to Realize Fertility Intentions: A Key Aspect of the Post-communist Fertility Transition. Population Research and Policy Review 33(3): 393–418. https://doi.org/10.1007/s11113-013-9313-6

VALLIN, J., & MESLÉ, F. (2004). Convergences and divergences in mortality: A new approach of health transition. Demographic Research Special 2: 11–44. https://doi.org/10.4054/DemRes.2004.S2.2

VAN DER GAAG, N., & DE BEER, J. (2015). From Demographic Dividend to Demographic Burden: The Impact of Population Ageing on Economic Growth in Europe. Tijdschrift voor economische en sociale geografie 106(1): 94–109. https://doi.org/10.1111/tesg.12104

WELCH, B. L. (1947). The Generalization of `Student’s’ Problem when Several Different Population Variances are Involved. Biometrika 34(1–2): 28–35. https://doi.org/10.1093/biomet/34.1-2.28