Publikācijas veids | Publikācijas konferenču materiālos, kas ir indeksēti Web of Science un/vai SCOPUS |
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Pamatdarbībai piesaistītais finansējums | Pētniecības projekti |
Aizstāvēšana: | , |
Publikācijas valoda | English (en) |
Nosaukums oriģinālvalodā | GRP Econometric Models for Regions of Ukraine |
Pētniecības nozare | 5. Sociālās zinātnes |
Pētniecības apakšnozare | 5.2. Ekonomika un uzņēmējdarbība |
Pētniecības platforma | Neviena |
Autori |
Maryna Demianchuk
Natalia Maslii Valērijs Skribans |
Atslēgas vārdi | Gross regional product; econometric models; regional analysis; balance of export and import; average monthly salary; educational and medical subventions; Ukraine |
Anotācija | Gross Regional Product (GRP) is the most generalized macroeconomic indicator of GDP for a whole state and for regions. In order to understand the peculiarities of the relationship between GRP per person and such indicators as the balance of exports and imports of goods and services of the region, average monthly salary, the volume of educational and medical subventions, it is necessary to analise their volumes in the dynamics of the economic regions of Ukraine, which will allow to see the dependence between the indicators. The purpose of the study is to build econometric models of the dependence of the gross regional product on the main socio-economic indicators of the economic region of the country on the example of Ukraine. Having conducted correlation studies for each economic region of Ukraine, it can be concluded that GRP is influenced by all regressors, i.e. the balance of exports and imports of goods and services, the average monthly salary and the volume of educational and medical subventions are correlated with GRP, which indicates an indirect influence, rather than an individual influence. |
DOI: | 10.1145/3345035.3345056 |
Hipersaite: | https://dl.acm.org/citation.cfm?doid=3345035.3345056 ![]() |
Atsauce | Demianchuk, M., Maslii, N., Skribans, V. GRP Econometric Models for Regions of Ukraine. No: Proceedings of the 2019 10th International Conference on E-business, Management and Economics, Ķīna, Beijing, 15.-17. jūlijs, 2019. New York: Association for Computing Machinery, 2019, 6.-11.lpp. ISBN 978-1-4503-7219-0. Pieejams: doi:10.1145/3345035.3345056 |
Papildinformācija |
Citējamību skaits:
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ID | 29590 |