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Sustainability became the most important component of world development, ascountries worldwide fight the battle against the climate change. To understandthe effects of climate change, the ecological footprint, along with thebiocapacity should be observed. The big part of the ecological footprint, thecarbon footprint, is most directly associated with the energy, and specificallyfuel sources. This paper develops a time series vector autoregressionprediction model of the ecological footprint based on energy parameters. Theobjective of the paper is to forecast the EF based solely on energy parametersand determine the relationship between the energy and the EF. The datasetincluded global yearly observations of the variables for the period 1971-2014.Predictions were generated for every variable that was used in the model forthe period 2015-2024. The results indicate that the ecological footprint ofconsumption will continue increasing, as well as the primary energy consumptionfrom different sources. However, the energy consumption from coal sources ispredicted to have a declining trend.

Time Series Vector Autoregression Prediction of the Ecological Footprint based on Energy Parameters