Please use this identifier to cite or link to this item: http://rps.chtei-knteu.cv.ua:8585/jspui/handle/123456789/1815
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dc.contributor.authorVerstiak, Oksana-
dc.contributor.authorVerstiak, Andrii-
dc.contributor.authorHryhorkiv, Vasyl-
dc.contributor.authorBuiak, Lesia-
dc.contributor.authorHryhorkiv, Mariia-
dc.date.accessioned2024-03-05T13:04:33Z-
dc.date.available2024-03-05T13:04:33Z-
dc.date.issued2021-
dc.identifier.otherУДК 338:504-
dc.identifier.urihttp://rps.chtei-knteu.cv.ua:8585/jspui/handle/123456789/1815-
dc.description.abstractIn this article we investigated main factors affecting ecological footprint in Ukraine. Ecological footprint helps to improve sustainability and well-being, to optimize public project investments and to understand their impact in the planet. Deep analysis of researches for other countries has been adopted. We concluded that such factors as GDP per capita, exports of goods and services and population have an impact at ecological footprint. Further, we simulated data by Vector Autoregression model and used it as a forecasting algorithm. We chose this model because there are various time series influencing each other and EF. We’ve got statistically significant forecast values that can be used by policy and decision makers at the country level.uk_UK
dc.language.isoenuk_UK
dc.publisherInternational Conference on Advanced Computer Information Technologies, ACIT, 2021. – pp. 19-22.uk_UK
dc.subjectecological footprintuk_UK
dc.subjectsustainable developmentuk_UK
dc.subjectimpact factorsuk_UK
dc.subjectVARuk_UK
dc.subjectforecastuk_UK
dc.titleEcological Footprint Impact Factors Forecasts using VAR Model: Decision Making Case Study from Ukraineuk_UK
dc.typeOtheruk_UK
Appears in Collections:06.71.63 Економіка природокористування та охорони довкілля (тези)

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