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Methodology of regional analysis of the Russian economic research market
[journal article]

dc.contributor.authorMoskovkin, Vladimir M.de
dc.contributor.authorSun, X.de
dc.date.accessioned2024-12-18T13:37:11Z
dc.date.available2024-12-18T13:37:11Z
dc.date.issued2019de
dc.identifier.issn2410-132Xde
dc.identifier.urihttps://www.ssoar.info/ssoar/handle/document/98553
dc.description.abstractAfter the dissolution of the Soviet Union and the transition to a market economy model in Russia, there has been observed a rapid growth for market economic studies challenge in ranking of its three segments, such as the economists market, scientific economic journals market, research training of economists market. The purpose of the study is to aggregate quantitative indicators of economic market segments for economic studies in the Russian regions. The initial data calculations are done on quantitative indicators from the TOP-500 gold ranking of economist E. V. Balatsky for 2016, the list of "vakovsky" economic journals from 07.06.2017 and the ranking of 2016 economic dissertation councils across the Russian regions. The aggregation of the above indicators is done according to the arithmetic average formula for their normalized values. A cross-correlation matrix has been constructed for the above indicators and an integral indicator with all linear paired regression equations in which the values of the coefficient of determination R2 varied in the range from 0,93 to 0.99. A practically analytical multiple regression equation (R2 = 1.0) has been obtained between the values of the above three indicators of the market for economic studies and an integral indicator on the other hand. In the article, it is also shown that the effect of the number of economic councils on the integral indicator is three times greater than the effect of the number of economists and the number of economic councils each separately. The best convergence to the Pareto distribution has been shown by the distribution of the values of the integral indicator of the state of the regional economic research market. On the basis of an integral indicator, the clusterization of regional markets for economic studies in Russia has been done using the method of natural borders.de
dc.languagerude
dc.subject.ddcWirtschaftde
dc.subject.ddcEconomicsen
dc.subject.othereconomic research market; economists market; scientific economic journals market; research training of economists market; regional analysis; correlation and regression analysis; Pareto distribution; natural borders methodde
dc.titleМетодология регионального анализа российского рынка экономических исследованийde
dc.title.alternativeMethodology of regional analysis of the Russian economic research marketde
dc.description.reviewbegutachtetde
dc.description.reviewrevieweden
dc.source.journalEkonomika Nauki / Economics of Science
dc.source.volume5de
dc.publisher.countryRUSde
dc.source.issue1de
dc.subject.classozWirtschaftssektorende
dc.subject.classozEconomic Sectorsen
dc.subject.thesozZeitschriftde
dc.subject.thesozperiodicalen
dc.subject.thesozWirtschaftswissenschaftde
dc.subject.thesozeconomicsen
dc.subject.thesozRusslandde
dc.subject.thesozRussiaen
dc.rights.licenceCreative Commons - Namensnennung, Nicht kommerz., Keine Bearbeitung 4.0de
dc.rights.licenceCreative Commons - Attribution-Noncommercial-No Derivative Works 4.0en
internal.statusformal und inhaltlich fertig erschlossende
internal.identifier.thesoz10039627
internal.identifier.thesoz10036673
internal.identifier.thesoz10057012
dc.type.stockarticlede
dc.type.documentZeitschriftenartikelde
dc.type.documentjournal articleen
dc.source.pageinfo67-78de
internal.identifier.classoz1090304
internal.identifier.journal2731
internal.identifier.document32
internal.identifier.ddc330
dc.identifier.doihttps://doi.org/10.22394/2410-132X-2019-5-1-67-78de
dc.description.pubstatusVeröffentlichungsversionde
dc.description.pubstatusPublished Versionen
internal.identifier.licence20
internal.identifier.pubstatus1
internal.identifier.review2
dc.subject.classhort10900de
internal.pdf.validtrue
internal.pdf.wellformedtrue
internal.pdf.encryptedfalse
ssoar.urn.registrationfalsede


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