+7 495 989 9610, 9am6pm (GMT+3), Monday – Friday
ИД «Финансы и кредит»






Regional Economics: Theory and Practice

Forecast estimates of the gross regional product of the Republic of Sakha (Yakutia) for 2020–2025, taking into account the coronavirus pandemic impact

Vol. 19, Iss. 2, FEBRUARY 2021

Received: 9 November 2020

Received in revised form: 26 December 2020

Accepted: 14 January 2021

Available online: 15 February 2021


JEL Classification: C53, E27, O11, R13

Pages: 339–359


Gavril N. OKHLOPKOV Institute of Mathematics and Information Science, M.K. Ammosov North-Eastern Federal University (NEFU), Yakutsk, Republic of Sakha (Yakutia), Russian Federation

ORCID id: not available

Subject. This article deals with the system of indicators of forecasting gross regional product and their relationship.
Objectives. The article aims to obtain projections of the gross regional product of the Republic of Sakha (Yakutia) for 2020–2025.
Methods. For the study, I used the methods of mathematical modeling in economics.
Results. The article calculates and conducts a comparative analysis of the scenario forecast estimates of the gross regional product of the Republic of Sakha (Yakutia) for 2020–2025.
Conclusions. The developed methodological approach, based on a phased prediction of gross regional product, provides forecasting for various variants of the coronavirus pandemic impact on the region's economy.

Keywords: gross regional product, methodological approach, forecast, scenario, economic growth


  1. Karasev O.I., Pulyaevskaya V.L. [Development of scenario conditions as key stage of preparation of strategy of region]. Vestnik NSUEM, 2016, no. 3, pp. 60–69. URL: Link (In Russ.)
  2. Karasev O.I., Klepach A.N., Kondrat'eva V.I. et al. Respublika Sakha (Yakutiya): stsenarnye usloviya i osnovnye makroekonomicheskie parametry prognoza sotsial'no-ekonomicheskogo razvitiya do 2035 goda: monografiya [The Republic of Sakha (Yakutia): Scenario conditions and basic macroeconomic parameters of the forecast of socio-economic development until 2035: a monograph]. Yakutsk, Media-kholding Yakutia Publ., 2017, 334 p.
  3. Kornilova A.Yu., Palei T.F. [Problems related to application of expert evaluation methods in the process of economic forecasting of the development of an enterprise]. Problemy sovremennoi ekonomiki = Problems of Modern Economics, 2010, no. 3, pp. 124–128. URL: Link (In Russ.)
  4. Nazarenko A.V., Zvyagintseva O.S. [Scenario forecasting of socio-economic systems' development]. Politematicheskii setevoi elektronnyi nauchnyi zhurnal Kubanskogo gosudarstvennogo agrarnogo universiteta, 2012, no. 84, pp. 575–587. (In Russ.) URL: Link
  5. Okhlopkov G.N. [Applying projections of gross regional product to determine the possible extent of economic damage under various case scenarios of the coronavirus epidemic impact on the region's economy]. Regional'naya ekonomika: teoriya i praktika = Regional Economics: Theory and Practice, 2020, vol. 18, iss. 9, pp. 1771–1786. (In Russ.) URL: Link
  6. Pospelov I.G. Modelirovanie ekonomicheskikh struktur [Modeling of economic structures]. Moscow, FAZIS, VTs RAN Publ., 2004, 208 p.
  7. Uzyakov M.N., Sapova N.N., Khersonskii A.A. [A toolkit for macrostructural regional forecasting: methodological approaches and results of computations]. Problemy prognozirovaniya = Problems of Forecasting, 2010, no. 2, pp. 3–20. URL: Link (In Russ.)
  8. Khasaev G.R., Tsybatov V.A. [Regional development forecasting technology: practices of development and use]. Problemy prognozirovaniya = Problems of Forecasting, 2002, no. 3, pp. 64–82. URL: Link (In Russ.)

View all articles of issue


ISSN 2311-8733 (Online)
ISSN 2073-1477 (Print)

Journal current issue

Vol. 19, Iss. 2
February 2021