Authors: Janković, Radmila 
Mihajlović, Ivan
Amelio, Alessia
Draganov, Ivo R.
Affiliations: Computer Science 
Mathematical Institute of the Serbian Academy of Sciences and Arts 
Title: Predicting the Ecological Footprint: A Case Study for Italy, Pakistan and China
First page: 9483528
Conference: 56th International Scientific Conference on Information, Communication and Energy Systems and Technologies, ICEST 2021, Sozopol, 16 June 2021 - 18 June 2021
Issue Date: 28-Jul-2021
Rank: M33
ISBN: 9781665428873
DOI: 10.1109/ICEST52640.2021.9483528
This paper introduces a new prediction model of the ecological footprint from energy parameters based on time series vector autoregression. The experiment employs global yearly observations of the variables in the period 1971-2014 for three countries: (i) Italy, (ii) Pakistan, and (iii) China. A prediction is performed for each variable adopted in the model from 2015 to 2024. The obtained results indicate that the total ecological footprint of consumption will increase for China and Pakistan, and decrease for Italy.
Keywords: Ecological footprint | Energy | Prediction model | Time series analysis
Publisher: IEEE

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