Predicting the Economic Development in Early Childhood Education: The Case of Four Federal Districts of Russia

Larisa Bedareva, Elena Semionova and Galina Tokareva

Voprosy obrazovaniya / Educational Studies Moscow, 2020, issue 2, 60-82

Abstract: Larisa Bedareva - Research Fellow, Center for Lifelong Learning Economics, Institute of Applied Economic Research, Russian Presidential Academy of National Economy and Public Administration. Е-mail: lara-2006@mail.ruElena Semionova - Candidate of Sciences in Economics, Leading Researcher, Center for Lifelong Learning Economics, Institute of Applied Economic Research, Russian Presidential Academy of National Economy and Public Administration. E-mail: semionova-ea@ranepa.ruGalina Tokareva - Research Fellow, Center for Lifelong Learning Economics, Institute of Applied Economic Research, Russian Presidential Academy of National Economy and Public Administration. E-mail: tokareva-gs@ranepa.ruAddress: 82 Vernadskogo Ave, 119571 Moscow, Russian Federation.This paper provides a review of Russian and international studies devoted to early childhood education policies, substantiating the need to forecast the demand for preschool education. Data on 2008-2018 preschool education in Central, Ural, Northwestern, and Volga Federal Districts is analyzed, and predictions regarding the development of early childhood education in the specified regions are made, using Sergey Belyakov's model, for the 2019-2031 period. The following indicators are forecasted for each region: the number of children aged 0-7; the number of preschool students; the ratio of potential enrollment to kindergarten capacity; the student-teacher ratio in kindergartens; and the demand for preschool teachers.

Keywords: preschool educational institutions; preschool education; early childhood education; predicting the development of preschool education; demand for early childhood education; children’s participation in preschool; preschool teachers (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:nos:voprob:2020:i:2:p:60-82

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