Labour productivity simulations in Ukrainian regions : analysis based on a gravitational growth model

2020
journal article
article
3
cris.lastimport.wos2024-04-09T19:21:15Z
dc.abstract.enThe purpose of the article is to build a gravitational growth model of Ukrainian economy. The correlation of the labour productivity macroeconomic indicator and its empirical verification is considered. The article looks at recent research dealing with data analysis of region groups as of 2004-2017. To determine the conditions for economic development of the regions, the magnitude and the possible influence of the main macroeconomic factors were assessed. The methodology of gravity modelling makes it possible to study the significance of each individual factor on the basis of statistical information and to predict these factors within the context of possible scenarios. Methods of statistical analysis and econometric modelling were used to build a gravity model and to assess its statistical significance and forecasting ability for economy. The methodological principles of the gravity theory in the context of the set tasks involve studying both regional GDP indicators and the geographical location and remoteness from the capital. The paper presents the influence of two macroeconomic aggregates on the dynamics of economic development - labour productivity and physical capital per worker, with account of their relationship to gravitational effects. The economic analysis uses regional statistical data available on the website of the State Statistical Service of Ukraine. As a result, three main conclusions were formulated. First, 2001-2008 was the most favourable period for the development of Ukrainian economy (after the restoration of Ukraine's independence in 1991). Second, future strong positions of the Northern Ukraine were identified (Kyiv city, Kyiv region with account taken of the expected side effect). Third, a long-term one, to implement the regional development policy the volume of regional investment should be increased. In turn, investment attractiveness of the remote regions, with a relatively low expected economic polarization, will also increase.pl
dc.affiliationWydział Zarządzania i Komunikacji Społecznej : Instytut Ekonomii, Finansów i Zarządzaniapl
dc.contributor.authorChugaievska, Svitlanapl
dc.contributor.authorFilipowicz, Katarzyna - 149245 pl
dc.contributor.authorTokarski, Tomasz - 132393 pl
dc.contributor.authorWisła, Rafał - 132652 pl
dc.date.accession2021-01-12pl
dc.date.accessioned2021-01-15T09:28:19Z
dc.date.available2021-01-15T09:28:19Z
dc.date.issued2020pl
dc.date.openaccess0
dc.description.accesstimew momencie opublikowania
dc.description.number4pl
dc.description.physical43-60pl
dc.description.publication1,2pl
dc.description.versionostateczna wersja wydawcy
dc.description.volume13pl
dc.identifier.doi10.14254/2071-789X.2020/13-4/3pl
dc.identifier.eissn2306-3459
dc.identifier.issn2071-789X
dc.identifier.projectROD UJ / OPpl
dc.identifier.urihttps://ruj.uj.edu.pl/xmlui/handle/item/260565
dc.identifier.weblinkhttps://www.economics-sociology.eu/files/3_845_Chugaievska%20et%20al.pdfpl
dc.languageengpl
dc.language.containerengpl
dc.participationWisła, Rafał: 25%; Tokarski, Tomasz: 25%; Filipowicz, Katarzyna: 25%;pl
dc.pbn.affiliationDziedzina nauk społecznych : ekonomia i finansepl
dc.rightsUdzielam licencji. Uznanie autorstwa 3.0*
dc.rights.licenceCC-BY
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/legalcode*
dc.share.typeotwarte czasopismo
dc.subject.enlabour productivitypl
dc.subject.endevelopment diversificationpl
dc.subject.engravitational growth modelpl
dc.subtypeArticlepl
dc.titleLabour productivity simulations in Ukrainian regions : analysis based on a gravitational growth modelpl
dc.title.journalEconomics and Sociology
dc.typeJournalArticlepl
dspace.entity.typePublication
cris.lastimport.wos
2024-04-09T19:21:15Z
dc.abstract.enpl
The purpose of the article is to build a gravitational growth model of Ukrainian economy. The correlation of the labour productivity macroeconomic indicator and its empirical verification is considered. The article looks at recent research dealing with data analysis of region groups as of 2004-2017. To determine the conditions for economic development of the regions, the magnitude and the possible influence of the main macroeconomic factors were assessed. The methodology of gravity modelling makes it possible to study the significance of each individual factor on the basis of statistical information and to predict these factors within the context of possible scenarios. Methods of statistical analysis and econometric modelling were used to build a gravity model and to assess its statistical significance and forecasting ability for economy. The methodological principles of the gravity theory in the context of the set tasks involve studying both regional GDP indicators and the geographical location and remoteness from the capital. The paper presents the influence of two macroeconomic aggregates on the dynamics of economic development - labour productivity and physical capital per worker, with account of their relationship to gravitational effects. The economic analysis uses regional statistical data available on the website of the State Statistical Service of Ukraine. As a result, three main conclusions were formulated. First, 2001-2008 was the most favourable period for the development of Ukrainian economy (after the restoration of Ukraine's independence in 1991). Second, future strong positions of the Northern Ukraine were identified (Kyiv city, Kyiv region with account taken of the expected side effect). Third, a long-term one, to implement the regional development policy the volume of regional investment should be increased. In turn, investment attractiveness of the remote regions, with a relatively low expected economic polarization, will also increase.
dc.affiliationpl
Wydział Zarządzania i Komunikacji Społecznej : Instytut Ekonomii, Finansów i Zarządzania
dc.contributor.authorpl
Chugaievska, Svitlana
dc.contributor.authorpl
Filipowicz, Katarzyna - 149245
dc.contributor.authorpl
Tokarski, Tomasz - 132393
dc.contributor.authorpl
Wisła, Rafał - 132652
dc.date.accessionpl
2021-01-12
dc.date.accessioned
2021-01-15T09:28:19Z
dc.date.available
2021-01-15T09:28:19Z
dc.date.issuedpl
2020
dc.date.openaccess
0
dc.description.accesstime
w momencie opublikowania
dc.description.numberpl
4
dc.description.physicalpl
43-60
dc.description.publicationpl
1,2
dc.description.version
ostateczna wersja wydawcy
dc.description.volumepl
13
dc.identifier.doipl
10.14254/2071-789X.2020/13-4/3
dc.identifier.eissn
2306-3459
dc.identifier.issn
2071-789X
dc.identifier.projectpl
ROD UJ / OP
dc.identifier.uri
https://ruj.uj.edu.pl/xmlui/handle/item/260565
dc.identifier.weblinkpl
https://www.economics-sociology.eu/files/3_845_Chugaievska%20et%20al.pdf
dc.languagepl
eng
dc.language.containerpl
eng
dc.participationpl
Wisła, Rafał: 25%; Tokarski, Tomasz: 25%; Filipowicz, Katarzyna: 25%;
dc.pbn.affiliationpl
Dziedzina nauk społecznych : ekonomia i finanse
dc.rights*
Udzielam licencji. Uznanie autorstwa 3.0
dc.rights.licence
CC-BY
dc.rights.uri*
http://creativecommons.org/licenses/by/3.0/legalcode
dc.share.type
otwarte czasopismo
dc.subject.enpl
labour productivity
dc.subject.enpl
development diversification
dc.subject.enpl
gravitational growth model
dc.subtypepl
Article
dc.titlepl
Labour productivity simulations in Ukrainian regions : analysis based on a gravitational growth model
dc.title.journal
Economics and Sociology
dc.typepl
JournalArticle
dspace.entity.type
Publication
Affiliations

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