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dc.contributor.authorDomnikov, A. Y.en
dc.contributor.authorAntipova, E.en
dc.contributor.authorDomnikova, L.en
dc.date.accessioned2019-07-22T06:48:37Z-
dc.date.available2019-07-22T06:48:37Z-
dc.date.issued2018-
dc.identifier.citationDomnikov A. Y. Evaluation of economic risks for power-generating companies / A. Y. Domnikov, E. Antipova, L. Domnikova // WIT Transactions on Engineering Sciences. — 2018. — Vol. 121. — P. 125-133.en
dc.identifier.issn1743-3533-
dc.identifier.otherhttp://www.witpress.com/Secure/elibrary/papers/RISK18/RISK18011FU1.pdfpdf
dc.identifier.other1good_DOI
dc.identifier.otherad5a5075-78e9-46ee-9988-682877f4dfbfpure_uuid
dc.identifier.otherhttp://www.scopus.com/inward/record.url?partnerID=8YFLogxK&scp=85059103482m
dc.identifier.urihttp://elar.urfu.ru/handle/10995/75802-
dc.description.abstractThe paper presents the results of a study on the economic risks affecting the competitiveness of power-generating companies. A methodical approach to the diagnosis of economic risks has been developed by the authors. The possibilities are estimated by using competitive advantages of various generating technologies on the basis of the method of decomposition of factors, which characterize economic risks. The process of development of power-generating companies involves the solution of complex problems related with the reliable power supply to consumers and the increase in efficiency of energy generation. The problem of increasing competitiveness requires the development of a special system for diagnosing the economic risks for power-generating companies. This implies forming a knowledge base necessary for the subsequent evaluation of the level of influence of economic risks on the competitiveness of energy sources. The approach proposed for diagnosing economic risks proposed is based on cluster and discriminant analyses. It allows determining the characteristics of energy-generating technologies that will give a high level of competitiveness. As a consequence, it becomes possible to study changes in the business environment and profitably take advantage of the potential advantages of the market. The evaluation of economic risks leads to assessing the level of their impact on the prospects of the presence of new energy-generating sources on the local energy market. It also permits analysis on the feasibility of exploiting their competitive advantages. The approach proposed is aimed at improving decision-making in conditions of uncertainty, minimizing economic risks and increasing the competitiveness. © 2018 WIT Press.en
dc.description.sponsorshipACKNOWLEDGEMENTS The work was supported by Act 211 Government of the Russian Federation, contract No. 02. A03.21.0006 and Russian Foundation for Basic Research (RFBR), contract No. 16-06-00317A.en
dc.description.sponsorshipInternational Journal of Safety and Security Engineering;WIT Transactions on Engineering Sciencesen
dc.format.mimetypeapplication/pdfen
dc.language.isoenen
dc.publisherWITPressen
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.sourceWIT Transactions on Engineering Sciencesen
dc.subjectCOMPETITIONen
dc.subjectECONOMIC RISKSen
dc.subjectEFFICIENCYen
dc.subjectMATHEMATICAL ECONOMIC MODELSen
dc.subjectPOWER INDUSTRYen
dc.subjectRELIABILITYen
dc.subjectSTRATEGYen
dc.titleEvaluation of economic risks for power-generating companiesen
dc.typeConference Paperen
dc.typeinfo:eu-repo/semantics/conferenceObjecten
dc.typeinfo:eu-repo/semantics/publishedVersionen
dc.conference.name11th International Conference on Computer Simulation in Risk Analysis and Hazard Mitigation 2018en
dc.conference.date6 June 2018 through 8 June 2018-
dc.identifier.rsi38631228-
dc.identifier.doi10.2495/RISK180111-
dc.identifier.scopus85059103482-
local.affiliationAcademic Department of Banking and Investment Management, Ural Federal University named after the first President of Russia B. N. Yeltsin, Russian Federationen
local.contributor.employeeДомников Алексей Юрьевичru
local.contributor.employeeДомникова Людмила Витальевнаru
local.description.firstpage125-
local.description.lastpage133-
local.volume121-
local.identifier.pure8548974-
local.identifier.eid2-s2.0-85059103482-
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