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TERRA ECONOMICUS

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  • Relationship between economic development and population age structure in the Russian regions

Relationship between economic development and population age structure in the Russian regions


TERRA ECONOMICUS, , Vol. 19 (no. 2),

The paper focuses on the relationship between the economic growth and the age structure. It is assumed thatwhile modeling economic growth, age distribution should be addressed to explain a human capital supply. Weapply econometric analysis to identify how the age structure affects economic development. The study relieson the panel data from 2001 to 2016 for 79 regions of Russia. We consider the following age categories: 0–15,16–24, 25–39, 40–54, 55–64 and 65–100 years. Panel data unit root tests and spatial correlation tests havebeen applied. We estimated the linear panel regression model with spatial lag and spatial autocorrelatederror term. The significance of spatial effects for the Russian regions was confirmed by relevant diagnostictests. Although the coefficients for some age groups are significant in the model, their marginal responsesare insignificant due to spillover effects. The research findings show that the greatest positive effects oneconomic growth are from the youngest age categories 16–24 and 25–39. This differs Russia from othercountries for which similar studies were conducted. The significance of the oldest group 65–100 is a matterof interest, since it may confirm a positive effect of investments made by this group on the economic growth.Impact of the significant age categories are estimated.
Citation: Artamonov, N.V., Kurbatskii, A.N., Khalimov, T.M. (2021). Relationship between economic development and population age structure in the Russian regions. Terra Economicus 19(2): 77–90. (In Russian.) DOI: 10.18522/2073-6606-2021-19-2-77-90
Acknowledgment: The authors are thankful to Anton Belyakov (Lomonosov Moscow State University) for problem statement and for attention to the work. This article was supported by the Russian Science Foundation, project № 20 68 47030 “Econometric and probabilistic methods for the analysis of financial markets with complex structure”.


Keywords: demography; economic growth; aging; age structure; GRP; linear regression with spatial lag; Moran’s I; spatial correlation

JEL codes: J1, R11

References:
  • Баринова В.А., Дробышевский С.М., Еремкин В.А. и др. (2015). Типология регионов России для целей региональной политики // Российское предпринимательство 16(23): 4199–4204. [Barinova V.A., Drobyshevskiy S.M., Eremkin V.A., Zemtsov S.P., Sorokina A.V. (2015). Russian regions’ typologization for the purposes of regional economies. Russian entrepreneurship 16(23): 4199–4204. (in Russian).] DOI: 10.18334/rp.16.23.2161
  • Виноградова Н.А. (2016). Интегральный индекс развития регионов // Региональная экономика: теория и практика (2): 68–83. [Vinogradova N.A. (2016). Integral index of region’s development. Regional economy: theory and practice (2): 68–83 (in Russian).]
  • Демидова О.А. (2014). Пространственно-авторегрессионная модель для двух групп взаимосвязанных регионов (на примере Восточной и Западной части России) // Прикладная эконометрика 2(34): 19–35. [Demidova O.A. (2014). Space-autoregression model for two groups of correlated regions (based on the example of the eastern and western parts of Russia). Applied Econometrics 34(2): 19–35 (in Russian).]
  • Казбекова З.Г. (2018). Влияние демографического дивиденда на экономический рост // Население и экономика 2(4): 85–135. [Kazbekova Z. (2018). Impact of the demographic dividend on economic growth. Population and Economics 2(4): 85–135 (in Russian).] DOI: 10.3897/popecon.2.e36061
  • Кваша Е.А., Харькова Т.Л. (2013a). Изъяны и волны российской возрастно-половой пирамиды // Демоскоп Weekly: сетевой журнал (549–550) (http://www.demoscope.ru/weekly/2013/0549/ tema01.php – дата обращения: 15.08.2020). [Kvasha E.A., Kharkova T.L. (2013a). Defects and waves of Russian age-gender pyramid. E-journal. Demoscope Weekly, 549–550 (http://www. demoscope.ru/weekly/2013/0549/tema01.php – accessed on August 15 2020) (in Russian).]
  • Кваша Е.А., Харькова Т.Л. (2013b). Региональные особенности возрастного состава населения // Демоскоп Weekly: сетевой журнал (549–550) (http://www.demoscope.ru/weekly/2013/0549/ tema01.php – дата обращения: 15.08.2020). [Kvasha E.A., Kharkova T.L. (2013b). Regional features of population’s age structure. E-journal. Demoscope Weekly, 549–550 (http://www. demoscope.ru/weekly/2013/0549/tema05.php – accessed on August 15 2020) (in Russian).]
  • Луговой О., Дашкеев В., Мазаев И., Фомченко Д., Поляков Е., Хехт А. (2007). Экономикогеографические и институциональные аспекты экономического роста в регионах. М.: ИЭПП. [Lugovoy О., Dashkeyev V., Mazayev I., Fomchenko D., Polyakov Е. (2007). Analysis of Economic Growth in Regions: Geographical and Institutional Aspect. Moscow: Institute for the Economy in Transition Publ. (in Russian).]
  • Малкина М.Ю. (2020). Оценка устойчивости развития региональных экономик на основе расстояний Махаланобиса // Terra Economicus 18(3), 140–159. [Malkina M.Y. (2020). Assessment of resilient development of the regional economies based on Mahalanobis distances. Terra Economicus, 18(3), 140–159 (in Russian).] DOI: 10.18522/2073-6606-2020-18-3-140-159
  • Мкртчян Н.В. (2014). О влиянии миграции на возрастной состав населения регионов, городов и районов России // Научные труды: ИНП РАН (12): 381–396. [Mkrtchyan N.V. (2014). About migration’s influence on age structure on regions, cities and districts of Russia. Scientific papers: Institute of Economic Forecasting RAS (12): 381–396 (in Russian).]
  • Andersson B. (2001). Scandinavian Evidence on Growth and Age Structure. Regional Studies 35(5): 377–390. DOI: 10.1080/00343400120058398
  • Arrow K.J. (1962). The economic implications of learning by doing. Review of Economic Studies 29(3): 153–173. DOI: 10.2307/2295952
  • Baltagi B.H., Song S.H., Jung B.C., Koh W. (2007). Testing for serial correlation, spatial autocorrelation and random effects using panel data. Journal of Econometrics 140(1): 5–51. DOI: 10.1016/j. jeconom.2006.09.001
  • Bengtsson M. (2018). Age structure and economic growth – The case of Sri Lanka (http://lup.lub. lu.se/student-papers/record/8938670 – дата обращения: 15.08.2020)
  • Bloom D.E., Williamson J.G. (1997). Demographic Transitions and Economic Miracles in Emerging Asia. The World Bank Economic Review 12(3): 419– 455. DOI: https://doi.org/10.3386/w6268
  • Bloom D.E., Finlay J. (2009). Demographic Change and Economic Growth in Asia. Asian Economic Policy Review 4(1): 45–64. DOI: 10.1111/j.1748-3131.2009.01106.x
  • Breuninger M., Niebuhr A. (2008). Agglomeration, Spatial Interaction and Convergence in the EU. Schmollers Jahrbuch 128(3): 329–349.
  • Brunow S., Hirte G. (2009). Regional Age Structure and Economic Growth: An Econometric Study for German Region. Dresden Discussion Paper Series in Economics 04/09: 1–32. DOI: 10.2139/ssrn.1406925
  • Crihfield J.B., Panggabean M.P.H. (1995a). Growth and Convergence in U.S. Cities. Journal of Urban Economics 38(2): 138–165. DOI: 10.1006/juec.1995.1026
  • Crihfield J.B., Panggabean M.P.H. (1995b). Is public infrastructure productive? A metropolitan perspective using new capital stock estimates. Regional Science and Urban Economics 25(5): 607–630. DOI: 10.1016/0166-0462(95)02087-B
  • Jacobs J. (1969). The Economy of Cities. New York: Random House. DOI: 10.1002/ncr.4100580916
  • Lindh T., Malmberg B. (1999). Age structure Effects and Growth in OECD, 1950–1990. Journal of Population Economics 12(3), 431–449. DOI: 10.1007/s001480050107
  • Malmberg B. (1994). Age structure effects on economic growth – Swedish evidence. Scandinavian Economic History Review 42(3): 279–295. DOI: 10.1080/03585522.1994.10415889
  • Mankiw N.G., Romer D., Weil D.N. (1992). A Contribution to the Empirics of Economic Growth. The Quarterly Journal of Economics 107(2): 407–437. DOI: 10.2307/2118477
  • Marshall A. (1920). Principles of Economics. London: Macmillan and Co.
  • Millo G. (2017). A simple randomization test for spatial correlation in the presence of common factors and serial correlation. Regional Science and Urban Economics 66: 28–38. DOI: 10.1016/j. regsciurbeco.2017.05.004
  • Nagarajan R., Teixeira A., Silva S. (2013). The Impact of Population Ageing on Economic Growth: An In-depth Bibliometric Analysis. FEP Working Papers № 505, p. 31.
  • Prettner K. (2013). Population aging and endogenous economic growth. Journal of Population Economics 26(2): 811–834. DOI: 10.1007/s00148-012-0441-9
  • Romer P. (1986). Increasing Returns and Long-run Growth. Journal of Political Economy 94(5): 1002–1037. DOI: 10.1086/261420
  • Solow R.M. (1956). A Contribution to the Theory of Economic Growth. The Quarterly Journal of Economics 70(1): 65–94. DOI: 10.2307/1884513
Publisher: Southern Federal University
Founder: Southern Federal University
ISSN: 2073-6606