E3S Web Conf.
Volume 234, 2021The International Conference on Innovation, Modern Applied Science & Environmental Studies (ICIES2020)
|Number of page(s)||5|
|Published online||02 February 2021|
New evidence from NARDL model on CO2 emissions: Case of Morocco
1 Economy, management and sustainable development, Abdelmalek Essaâdi - Morocco
2 ERISI, National school of applied sciences, Abdelmalek Esaadi University, Tetouan, Morocco
* Corresponding author: email@example.com
The main objective of this study is to examine the effect of sickle energy consumption, renewable energy, and forest area on the emission of carbon dioxide (CO2) in Morocco. Many studies have abord this subject using a different approachs, most of which have used econometric models such as Vector Autoregressive (VAR) Error Correction Model (ECM) and Autoregressive Distributed Lag (ARDL). In this study, we opted for the Non-linear Autoregressive Distributed Lag (NARDL) model. The data used covers the period from 1990 to 2018 (annual data). The results of our model are significant and prove the asymmetric effects of the explanatory variables on CO2 emissions.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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