Digital Library of the European Council for Modelling and Simulation

Title:	A Study Of Regional Differentiation Of The Fertility Resources Based On Convergence Models
Authors:	Anna Bagirova, Oksana Shubat
Published in:	(2019). ECMS 2019 Proceedings Edited by: Mauro Iacono, Francesco Palmieri, Marco Gribaudo, Massimo Ficco, European Council for Modeling and Simulation. DOI: http://doi.org/10.7148/2019 ISSN: 2522-2422 (ONLINE) ISSN: 2522-2414 (PRINT) ISSN: 2522-2430 (CD-ROM) 33rd International ECMS Conference on Modelling and Simulation, Caserta, Italy, June 11^th – June 14^th, 2019
Citation format:	Anna Bagirova, Oksana Shubat (2019). A Study Of Regional Differentiation Of The Fertility Resources Based On Convergence Models, ECMS 2019 Proceedings Edited by: Mauro Iacono, Francesco Palmieri, Marco Gribaudo, Massimo Ficco European Council for Modeling and Simulation. doi: 10.7148/2019-0071
DOI:	https://doi.org/10.7148/2019-0071
Abstract:	The problem of low fertility is one of the most important in Russia, and the imbalance in regional demographic development is historically relevant in Russia The purpose of our study is to investigate the processes of convergence/divergence of Russian regions on indicators reflecting the reproductive resource of fertility. Convergence was studied on the basis of two different models: σ-convergence and β-convergence (Barro regression). The use of the convergence analysis method made it possible to identify the features of regional differentiation of the reproductive resource of fertility and its dynamics in Russia. The results showed that Russian regions are markedly differentiated by the level of individual components of the reproductive resource, as well as by its integral indicator. The level of regional differentiation by these indicators has increased over the past almost two decades. The results of the study have a potential practical application, because they allow us to develop measures for a more complete realization of the reproductive resource of fertility in Russian regions based on the identified trends. Our results and the controversial issues arising from them provide an opportunity to determine the direction of further research.
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