STATISTICAL APPROACHES TO ASSESSMENT OF SECTORAL STRUCTURE OF EMPLOYMENT OF REGION
Abstract
In the conditions of limitation of investment possibilities there is actual a studying of competitiveness of kinds of economic activities which represents one of the major components of research of relations on a labour market, and also serves as an important reference point for formation of economic policy of region and strategy of business communities. In article authors formulate a technique of an estimation of supply and demand in employment sphere by the economic activities kinds, based on регрессионных models under the panel data, allowed to reveal not only influence of explaining variables on number of the occupied population but also to consider time effects. Such approach allows to define, at what level the factors defining dynamics of structure of employment of region by kinds of economic activities, and, hence, are concentrated the operating influences interfering destructive changes should be concentrated to what level. Approbation of the offered technique has been spent on an example of Republic of Mary El that has allowed to define directions of development of economy of region and to formulate likelihood scenarios of economic development for kinds of activity of various level of competitiveness. Advantage of the offered approach consists in its universality and applicability to an estimation of dynamics and structure of various social and economic indexes and their structures.
About the Authors
T. V. SarychevaRussian Federation
Candidate of Historical Sciences, Institute of Economics, Management and Finance, Mari State Univeristy, Yoshkar-Ola, Russia.
L. P. Bakumenko
Russian Federation
Doctor of Economics, Professor, Head of the Department of Applied Statistics and Informatics, Mari State Univeristy, Yoshkar-Ola, Russia.
References
1. Balash V.A., Balash O.S. Modeli linejnoj regressii po panel’nym dannym: ucheb. posobie. M.: MJeSI, 2002. 65 p.
2. Barkova V.V. Vlijanie social’no-jekonomicheskih processov na zanjatost’ naselenija monogoroda // Aktual’nye voprosy jekonomiki i upravlenija: materialy mezhdunar. zaoch.nauch.konf.M.:RIOR,2011.P.50–52.
3. Korovkin A.G. Problemy soglasovanija sprosa na rabochuju silu i ee predlozhenija na rossijskom rynke truda // Problemy prognozirovanija. 2011. No 2.
4. Moskovskaja A., Moskovskaja V. Kachestvennye i kolichestvennye sdvigi v sfere zanjatosti // Voprosy jekonomiki. 1999. No 11. P. 114–127.
5. Regiony Rossii. Social’no-jekonomicheskie pokazateli. 2013: Stat. sb. / Rosstat. M., 2013. 990 p.
6. Sarycheva T.V. Klassifikacija regionov po pokazateljam razvitija rynka truda i zanjatosti // Vestnik Chuvashskogo universiteta. 2014. No 3. P. 207–213.
7. Sarycheva T.V., Bakumenko L.P. Statisticheskie podhody k analizu rynka truda i zanjatosti na regional’nom urovne // Vestnik Povolzhskogo gosudarstvennogo tehnologicheskogo universiteta. Serija: Jekonomika i upravlenie. 2015. No 1 (25). P. 72–84.
8. Statisticheskij ezhegodnik «Respublika Marij Jel». 2013: Stat. sb. / Territorial’nyj organ Federal’noj sluzhby gosudarstvennoj statistiki po Respublike Marij Jel. Joshkar-Ola. 2013. 482 p.
9. Sarycheva T.V., Bakumenko L.P. The Conceptual Approaches to the Analysis of the Labour Market and Employment. Review of European Studies. 2015. Vol. 7. No. 8. P.343–355.DOI:10.5539/res.v7n8p343
10. Sarycheva T.V., Shvetsov M.N. Statistical Approaches to the Evaluation of the Demand and Supply at the Labour Market Based on Panel Data. Review of European Studies. 2015. Vol. 7. No. 8. P. 356–367. DOI:10.5539/res.v7n8p356
11. Vlasenko A.A. Metodologija ocenki konkurentosposobnosti otrasli. [Jelektronnyj resurs]. URL: http://www.rusnauka.com/29_DWS_2009/ Economics /53408.doc.htm.
12. Miljaeva L.G. Analiz strukturnyh izmenenij v zanjatosti naselenija metodom sdvigsostavljajushhih. [Jelektronnyj resurs]. URL: http://elib.altstu.ru/elib/books/Files/ 20 0 1-02/19/pap_19.html.
Review
For citations:
Sarycheva T.V., Bakumenko L.P. STATISTICAL APPROACHES TO ASSESSMENT OF SECTORAL STRUCTURE OF EMPLOYMENT OF REGION. Vestnik NSUEM. 2015;(4):259-273. (In Russ.)