Using the Box-Jenkins ARIMA Approach for Long-term Forecasting of CO2 Emissions in Morocco

Mohammed Jamii, Naima Oumidou, Mohamed Maaroufi

2021

Abstract

The Box-Jenkins ARIMA approach is one of the most essential methods to predict the variable carbon dioxide CO2 value with a proper model to describe the time variation of past data, and ensure security and environmental protection (Wang, T, 2016). This study aimed to predict carbon dioxide emissions in Morocco over the period 1928-2020, using the Box-Jenkins methodology, by building an econometric model for forecasting carbon dioxide (CO_2) emissions in Morocco during 1928-2020. Our study concluded that the time series was stationary at the first difference. After examination, analysis, and comparison according to the Box-Jenkins methodology through divers statistical tests, we have been proposed and building the best econometric model to forecasting carbon dioxide (CO2) emissions in Morocco from the form ARIMA (2,1,1), Using the proposed econometric model, our study concluded an estimate of the yearly forecast of carbon dioxide (CO2) emissions in Morocco during the period between 2021-2040 which was Continuously increasing.

Paper Citation

in Harvard Style

Jamii M., Oumidou N. and Maaroufi M. (2021). Using the Box-Jenkins ARIMA Approach for Long-term Forecasting of CO2 Emissions in Morocco. In Proceedings of the 2nd International Conference on Big Data, Modelling and Machine Learning - Volume 1: BML, ISBN 978-989-758-559-3, pages 496-501. DOI: 10.5220/0010737600003101

in Bibtex Style

@conference{bml21,
author={Mohammed Jamii and Naima Oumidou and Mohamed Maaroufi},
title={Using the Box-Jenkins ARIMA Approach for Long-term Forecasting of CO2 Emissions in Morocco},
booktitle={Proceedings of the 2nd International Conference on Big Data, Modelling and Machine Learning - Volume 1: BML,},
year={2021},
pages={496-501},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010737600003101},
isbn={978-989-758-559-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on Big Data, Modelling and Machine Learning - Volume 1: BML,
TI - Using the Box-Jenkins ARIMA Approach for Long-term Forecasting of CO2 Emissions in Morocco
SN - 978-989-758-559-3
AU - Jamii M.
AU - Oumidou N.
AU - Maaroufi M.
PY - 2021
SP - 496
EP - 501
DO - 10.5220/0010737600003101