New evidence from NARDL model on CO2 emissions: Case of Morocco
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 Au...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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EDP Sciences
2021-01-01
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| Series: | E3S Web of Conferences |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/10/e3sconf_icies2020_00026.pdf |
| _version_ | 1811243856768794624 |
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| author | Chikri Hassan Moghar Adil Kassou Manar Hamza Faris |
| author_facet | Chikri Hassan Moghar Adil Kassou Manar Hamza Faris |
| author_sort | Chikri Hassan |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-12T14:15:37Z |
| format | Article |
| id | doaj.art-b2d39be1c3414b22a58da1770d233d74 |
| institution | Directory Open Access Journal |
| issn | 2267-1242 |
| language | English |
| last_indexed | 2024-04-12T14:15:37Z |
| publishDate | 2021-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj.art-b2d39be1c3414b22a58da1770d233d742022-12-22T03:29:45ZengEDP SciencesE3S Web of Conferences2267-12422021-01-012340002610.1051/e3sconf/202123400026e3sconf_icies2020_00026New evidence from NARDL model on CO2 emissions: Case of MoroccoChikri Hassan0Moghar Adil1Kassou Manar2Hamza Faris3Economy, management and sustainable development, Abdelmalek EssaâdiEconomy, management and sustainable development, Abdelmalek EssaâdiERISI, National school of applied sciences, Abdelmalek Esaadi UniversityEconomy, management and sustainable development, Abdelmalek EssaâdiThe 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.https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/10/e3sconf_icies2020_00026.pdf |
| spellingShingle | Chikri Hassan Moghar Adil Kassou Manar Hamza Faris New evidence from NARDL model on CO2 emissions: Case of Morocco E3S Web of Conferences |
| title | New evidence from NARDL model on CO2 emissions: Case of Morocco |
| title_full | New evidence from NARDL model on CO2 emissions: Case of Morocco |
| title_fullStr | New evidence from NARDL model on CO2 emissions: Case of Morocco |
| title_full_unstemmed | New evidence from NARDL model on CO2 emissions: Case of Morocco |
| title_short | New evidence from NARDL model on CO2 emissions: Case of Morocco |
| title_sort | new evidence from nardl model on co2 emissions case of morocco |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/10/e3sconf_icies2020_00026.pdf |
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