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The causal connection between CO2 emissions and agricultural productivity in Somalia: evidence from an ARDL Bounds Testing Approach

Agriculture is the backbone of Somalia’s economy, accounting for over 75% of GDP and 93% of total revenue. Using an Autoregressive Distributed Lag (ARDL) model covering the period from 1990 through 2019, this study examines the relationship between CO2 emissions and agricultural productivity in Soma...

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Main Authors: Nor, Bile Abdisalan, Mohamad, Azhar
Format: Article
Language:English
Published: Taylor & Francis 2024
Subjects:
HJ7451 Expenditures. Government spending
Online Access:http://irep.iium.edu.my/117141/1/Nor%26Mohamad2024.pdf
http://irep.iium.edu.my/117141/
https://www.tandfonline.com/doi/full/10.1080/23311932.2024.2428369
https://doi.org/10.1080/23311932.2024.2428369
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spelling my.iium.irep.1171412024-12-30T08:41:32Z http://irep.iium.edu.my/117141/ The causal connection between CO2 emissions and agricultural productivity in Somalia: evidence from an ARDL Bounds Testing Approach Nor, Bile Abdisalan Mohamad, Azhar HJ7451 Expenditures. Government spending Agriculture is the backbone of Somalia’s economy, accounting for over 75% of GDP and 93% of total revenue. Using an Autoregressive Distributed Lag (ARDL) model covering the period from 1990 through 2019, this study examines the relationship between CO2 emissions and agricultural productivity in Somalia. The analysis shows that agricultural productivity (AGR), GDP per capita and renewable energy consumption (REC) significantly impact environmental degradation. In particular, higher agricultural productivity and higher GDP per capita are associated with lower environmental degradation, emphasising the importance of sustainable agricultural practices. Conversely, renewable energy consumption initially increases environmental degradation, possibly due to transition problems in introducing new technologies. The short-term results of the error correction model (ECM) show a significant negative relationship between agricultural productivity, GDP and environmental degradation. At the same time, renewable energy consumption has a positive short-term impact. The originality of this study lies in the fact that it focuses on the particular environmental and agricultural context of Somalia. This region has received less attention in the existing literature. The study proposes policy reforms that promote sustainable land management strategies, including agroforestry, crop rotation and conservation agriculture. These strategies, if implemented, will help restore soil health and reduce deforestation caused by unsustainable agricultural practices, offering a hopeful and optimistic outlook for the future of Somalia’s agriculture and environment. Taylor & Francis 2024-11-13 Article PeerReviewed application/pdf en http://irep.iium.edu.my/117141/1/Nor%26Mohamad2024.pdf Nor, Bile Abdisalan and Mohamad, Azhar (2024) The causal connection between CO2 emissions and agricultural productivity in Somalia: evidence from an ARDL Bounds Testing Approach. Cogent Food & Agriculture, 10 (1). pp. 1-12. ISSN 2331-1932 E-ISSN 2331-1932 https://www.tandfonline.com/doi/full/10.1080/23311932.2024.2428369 https://doi.org/10.1080/23311932.2024.2428369
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
topic HJ7451 Expenditures. Government spending
spellingShingle HJ7451 Expenditures. Government spending
Nor, Bile Abdisalan
Mohamad, Azhar
The causal connection between CO2 emissions and agricultural productivity in Somalia: evidence from an ARDL Bounds Testing Approach
description Agriculture is the backbone of Somalia’s economy, accounting for over 75% of GDP and 93% of total revenue. Using an Autoregressive Distributed Lag (ARDL) model covering the period from 1990 through 2019, this study examines the relationship between CO2 emissions and agricultural productivity in Somalia. The analysis shows that agricultural productivity (AGR), GDP per capita and renewable energy consumption (REC) significantly impact environmental degradation. In particular, higher agricultural productivity and higher GDP per capita are associated with lower environmental degradation, emphasising the importance of sustainable agricultural practices. Conversely, renewable energy consumption initially increases environmental degradation, possibly due to transition problems in introducing new technologies. The short-term results of the error correction model (ECM) show a significant negative relationship between agricultural productivity, GDP and environmental degradation. At the same time, renewable energy consumption has a positive short-term impact. The originality of this study lies in the fact that it focuses on the particular environmental and agricultural context of Somalia. This region has received less attention in the existing literature. The study proposes policy reforms that promote sustainable land management strategies, including agroforestry, crop rotation and conservation agriculture. These strategies, if implemented, will help restore soil health and reduce deforestation caused by unsustainable agricultural practices, offering a hopeful and optimistic outlook for the future of Somalia’s agriculture and environment.
format Article
author Nor, Bile Abdisalan
Mohamad, Azhar
author_facet Nor, Bile Abdisalan
Mohamad, Azhar
author_sort Nor, Bile Abdisalan
title The causal connection between CO2 emissions and agricultural productivity in Somalia: evidence from an ARDL Bounds Testing Approach
title_short The causal connection between CO2 emissions and agricultural productivity in Somalia: evidence from an ARDL Bounds Testing Approach
title_full The causal connection between CO2 emissions and agricultural productivity in Somalia: evidence from an ARDL Bounds Testing Approach
title_fullStr The causal connection between CO2 emissions and agricultural productivity in Somalia: evidence from an ARDL Bounds Testing Approach
title_full_unstemmed The causal connection between CO2 emissions and agricultural productivity in Somalia: evidence from an ARDL Bounds Testing Approach
title_sort causal connection between co2 emissions and agricultural productivity in somalia: evidence from an ardl bounds testing approach
publisher Taylor & Francis
publishDate 2024
url http://irep.iium.edu.my/117141/1/Nor%26Mohamad2024.pdf
http://irep.iium.edu.my/117141/
https://www.tandfonline.com/doi/full/10.1080/23311932.2024.2428369
https://doi.org/10.1080/23311932.2024.2428369
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score 13.226497

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