Please use this identifier to cite or link to this item: http://rps.chtei-knteu.cv.ua:8585/jspui/handle/123456789/1815
Title: Ecological Footprint Impact Factors Forecasts using VAR Model: Decision Making Case Study from Ukraine
Authors: Verstiak, Oksana
Verstiak, Andrii
Hryhorkiv, Vasyl
Buiak, Lesia
Hryhorkiv, Mariia
Keywords: ecological footprint
sustainable development
impact factors
VAR
forecast
Issue Date: 2021
Publisher: International Conference on Advanced Computer Information Technologies, ACIT, 2021. – pp. 19-22.
Abstract: In 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.
URI: http://rps.chtei-knteu.cv.ua:8585/jspui/handle/123456789/1815
Appears in Collections:06.71.63 Економіка природокористування та охорони довкілля (тези)

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