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dc.contributor.authorMalkina, M. Yu.en
dc.contributor.authorBalakin, R. V.en
dc.contributor.authorМалкина, М. Ю.ru
dc.contributor.authorБалакин, Р. В.ru
dc.date.accessioned2020-10-19T10:45:37Z-
dc.date.available2020-10-19T10:45:37Z-
dc.date.issued2015-
dc.identifier.citationМалкина М. Ю. Оценка взаимосвязи риска и доходности налоговой системы в регионах России / М. Ю. Малкина, Р. В. Балакин. – DOI 10.17059/2015-3-20. – Текст : электронный // Экономика региона. — 2015. — Том 3. — С. 241-255.ru
dc.identifier.issn2072-6414print
dc.identifier.otherhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84979963415&doi=10.17059%2f2015-3-20&partnerID=40&md5=6a7191dc41aec1cae23be93c6be47789m
dc.identifier.otherWOS:000422222700020wos
dc.identifier.urihttp://elar.urfu.ru/handle/10995/92181-
dc.description.abstractThe subject of the article is the risk, returnm and efficiency of the tax systems in the regions of the Russian Federation. Research methods: deflating GRP and tax revenues at regional level; calculating the standard deviations; G. Markowitz portfolio approach; W. Sharpe ratio calculating; correlation and regression analysis. Results obtained: 1) comparative risk profile of various taxes and their groups in the Russian Federation; 2) clustering the Russian regions in terms of risk and return of tax systems; 3) regression between the risk of regional tax systems, relative scale of regional economics and tax return based on panel data of the Russian regions in 2006-2012; 4) ranking of the RF regions on the effectiveness of their tax systems, estimated by W. Sharpe ratio. In the paper, the authors have concluded: 1) all taxes (tax group) collected in the Russian regions demonstrate a positive statistical relationship between return and risk, but with different correlation; 2) the risk of regional tax system depends on the structure of tax revenues in given region, the risks of collected taxes and the covariance of different taxes revenues to each other, and joint effect of these factors is estimated by means of portfolio approach by G. Markowitz; 3) the correlation between return and risk of the tax systems of the subjects of Russian Federation considering the scale of regional economics accounts for 75 %; 4) the risk of the Russian tax system is significantly provided by 19 major high-risk regions with more than 65 share in the total state tax revenues; 5) the effectiveness of regional tax systems estimated by the Sharpe ratio depends on both the objective and subjective factors affecting the yield and volatility of tax revenues in a region. Obtained results can be used by researchers in further dynamic and comparative analysis of regional tax systems' risk and return, as well as in identifying the reserves for increasing the regional tax policy effectiveness.en
dc.description.abstractПредставлена оценка риска налоговой системы региона с помощью портфельного подхода Марковица. Предложена методика анализа доходности и риска региональных налоговых систем и ее апробирование на примере субъектов Российской Федерации.ru
dc.description.sponsorshipThe study was sponsored by the Ministry of Education and Science of the Russian Federation within the framework of the basic part of the state contract, the Project 2648 "Methodology of Economic Research."en
dc.format.mimetypeapplication/pdfen
dc.language.isoruen
dc.publisherInstitute of Economics, Ural Branch of the Russian Academy of Sciencesen
dc.publisherИнститут экономики Уральского отделения РАНru
dc.relation.ispartofЭкономика региона. 2015. Выпуск 3ru
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.subjectCORRELATION COEFFICIENTen
dc.subjectG. MARKOWITZ PORTFOLIO APPROACHen
dc.subjectREGIONen
dc.subjectSTANDARD DEVIATIONen
dc.subjectTAX BURDENen
dc.subjectTAX REVENUESen
dc.subjectTHE RISK OF THE TAX SYSTEMen
dc.subjectW. SHARPE RATIOen
dc.titleОценка взаимосвязи риска и доходности налоговой системы в регионах Россииru
dc.title.alternativeCorrelation assessment of tax system risk and profitability in the Russian regionsen
dc.typeArticleen
dc.typeinfo:eu-repo/semantics/articleen
dc.typeinfo:eu-repo/semantics/publishedVersionen
dc.identifier.doi10.17059/2015-3-20-
dc.identifier.scopus84979963415-
local.description.firstpage241-
local.description.lastpage255-
local.volume3-
dc.identifier.wos000422222700020-
local.identifier.eid2-s2.0-84979963415-
Располагается в коллекциях:Economy of Region

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