Publication:
Economic assessment of growth factors of labour productivity at core enterprises of the defence industry: Impact on single-industry towns Экономическая оценка факторов роста производительности труда на градообразующих предприятиях ОПК: влияние на моногорода

dc.contributor.authorDubrovsky, V. Zh.
dc.contributor.authorIvanova, E. M.
dc.contributor.authorChuprakova, N. V.
dc.date.accessioned2024-11-27T09:23:20Z
dc.date.available2024-11-27T09:23:20Z
dc.date.issued2020
dc.description.abstract© 2020 Institute of Economics, Ural Branch of the Russian Academy of Sciences. All rights reserved.The insufficient growth of labour productivity at the enterprises of the Russian defence industry compared to the world level results in the need to identify the causes of the current situation. In recent years, the military rearmament led to the use of new technologies in production, personnel reduction, and, ultimately, to the increase in labour productivity. Nevertheless, the growth of the target value due to a decrease in the number of employees has mixed effects on the development of the socio-economic environment of single-industry towns. As an information base for the study, we used the statistical data of six core enterprises of ROSATOM State Corporation for the period from 2008 to 2017. The paper relies on Russian and foreign research focused on measuring the impact of various factors on labour productivity. We applied correlation-regression analysis and index method of factor analysis. As a result, we built a multiple linear model of the dependence of labour productivity on the average headcount, capital-labour ratio of active business assets, the ratio of the active part of assets in their total value, and investments. Further, we examined the statistically significant difference of the multiple linear regression model and its parameters and confirmed the applicability of the postulated model for predicting indicators values. The index analysis of labour productivity as well as indices of capital-labour ratio and capital productivity revealed a discrepancy between the growth of an indicator and the increase in the utilisation efficiency of fixed assets in dynamics. Additionally, it indicated the need to compare labour productivity factors with performance indicators when predicting the development of enterprises. The conducted research and constructed model can be used for developing strategic plans for the defence industry enterprises, as well as for considering how the changes in labour productivity and personnel of the core enterprises of the defence industry influence the economy of single-industry towns.
dc.format.extentС. 831-844
dc.identifier.citationDubrovsky, V. Zh. Economic assessment of growth factors of labour productivity at core enterprises of the defence industry: Impact on single-industry towns Экономическая оценка факторов роста производительности труда на градообразующих предприятиях ОПК: влияние на моногорода / Dubrovsky, V.Zh., Ivanova, E.M., Chuprakova, N.V. // Economy of Region. - 2020. - 16. - № 3. - P. 831-844. - 10.17059/ekon.reg.2020-3-12
dc.identifier.doi10.17059/ekon.reg.2020-3-12
dc.identifier.urihttps://www.doi.org/10.17059/ekon.reg.2020-3-12
dc.identifier.urihttps://www.scopus.com/record/display.uri?eid=2-s2.0-85094811440&origin=resultslist
dc.identifier.urihttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS_CPL&DestLinkType=FullRecord&UT=WOS:000576682200012
dc.identifier.urihttps://openrepository.mephi.ru/handle/123456789/22542
dc.relation.ispartofEconomy of Region
dc.titleEconomic assessment of growth factors of labour productivity at core enterprises of the defence industry: Impact on single-industry towns Экономическая оценка факторов роста производительности труда на градообразующих предприятиях ОПК: влияние на моногорода
dc.typeArticle
dspace.entity.typePublication
oaire.citation.issue3
oaire.citation.volume16
relation.isOrgUnitOfPublicationd18ec0bd-0982-4a08-94db-89f06d1de829
relation.isOrgUnitOfPublication.latestForDiscoveryd18ec0bd-0982-4a08-94db-89f06d1de829
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