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Please use this identifier to cite or link to this item: http://dspace.ince.md/jspui/handle/123456789/1330
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dc.contributor.authorGutium, Tatiana
dc.date.accessioned2021-11-05T13:59:49Z
dc.date.available2021-11-05T13:59:49Z
dc.date.issued2020
dc.identifier.citationGUTIUM, Tatiana. Elaborarea modelelor regresiei creșterii economice și competitivității. In : Experience. Knowledge. Contemporary Challenges „ Humanity at a crossroad. Between digital Economy and Need for a Paradigm of going back to Nature”: international symposium, 6th edition, 14th-15th, May, 2020. Artifex University of Bucharest. Bucharest, 2020, pp. 191-201. ISBN 978-606-8716-54-1.en_EN
dc.identifier.isbn978-606-8716-54-1
dc.identifier.urihttp://dspace.ince.md/jspui/handle/123456789/1330
dc.descriptionReferinţe bibliografice: pp. 200-201 (7 titl.). JEL Classification: C10, F17, F43.en_EN
dc.description.abstractThe last decade has been marked by economic and geopolitical instability, with the partial isolation of national economies, caused by the COVID-19 pandemic. Prior to the promotion of anti-crisis economic policies, it is necessary to analyze the effectiveness of these one. For this purpose, it is need to use the regression model of economic growth. The main goal of the research is to identify the influencing of factors and estimate their impact on economic growth. Using the regression analysis tools and the EViews package, the author has developed the regression model of economic growthof the Republic of Moldova and has found the interdependence between competitiveness and the growth of the national economy.en_EN
dc.language.isootheren_EN
dc.publisherArtifexen_EN
dc.subjecteconomic growthen_EN
dc.subjectforeign tradeen_EN
dc.subjectregressionen_EN
dc.subjecthypothesisen_EN
dc.subjectstatistical testsen_EN
dc.subjectcompetitivenessen_EN
dc.subjectRepublic of Moldovaen_EN
dc.subjectcrestere economicaen_EN
dc.subjectregresieen_EN
dc.subjectcompetitivitateen_EN
dc.titleElaborarea modelelor regresiei creșterii economice și competitivitățiien_EN
dc.typeArticleen_EN
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