Socioeconomic and climatic factors influencing desertification in Saudi Arabia through an ARDL approach

In this study, based on the sample covering 1990-2023, we use ARDL methods to test potential driving forces of Desertification (DS), including key socioeconomic and climatic determinants in Saudi Arabia: renewable energy consumption (RE) , economic growth (EG) , CO₂ emissions(CO2E), temperature anomaly(TA) and vegetation index(VI). To address the lack of time-series-integrated data studies in Saudi Arabia, this article uses ARDL and VECM models to capture short-run dynamics and long-run equilibrium. The findings indicate that a 1% increase in renewable energy results in an average reduction of 0.1003% in desertification . In contrast, improvements in the vegetation index have been more effective and could reduce desertification by up to 8.7%.Conversely, improved economic growth and increased CO2 emissions significantly aggravate land degradation. These results illustrate the need to reconcile Vision 2030's development aims with environmental protection. Recommendations on policy: Increase the proportion of renewable energy to 50% of total energy consumption by 2030; expand afforestation to restore 10% of degraded land per year; work toward universal environmental protection for major development projects at a rate commensurate with the scale and potential impact. .

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Publication Details

Journal
Scientific Reports
Published
2025-12-31
DOI
https://doi.org/10.1038/s41598-025-34168-z
Citations
1
Primary Topic
Remote Sensing in Agriculture
Type
article
Field-Weighted Citation Impact
1.72
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article

Socioeconomic and climatic factors influencing desertification in Saudi Arabia through an ARDL approach

Faten Derouez, Mahmaod Alrawad, Adel Ifa, Mohammad Zayed et al.
1 citations
Scientific Reports
Remote Sensing in Agriculture
1.72
article

Socioeconomic and climatic factors influencing desertification in Saudi Arabia through an ARDL approach

Faten Derouez, Mahmaod Alrawad, Adel Ifa, Mohammad Zayed, Abdullah Al Shammre
article en
1 citations

Abstract

In this study, based on the sample covering 1990-2023, we use ARDL methods to test potential driving forces of Desertification (DS), including key socioeconomic and climatic determinants in Saudi Arabia: renewable energy consumption (RE) , economic growth (EG) , CO₂ emissions(CO2E), temperature anomaly(TA) and vegetation index(VI). To address the lack of time-series-integrated data studies in Saudi Arabia, this article uses ARDL and VECM models to capture short-run dynamics and long-run equilibrium. The findings indicate that a 1% increase in renewable energy results in an average reduction of 0.1003% in desertification . In contrast, improvements in the vegetation index have been more effective and could reduce desertification by up to 8.7%.Conversely, improved economic growth and increased CO2 emissions significantly aggravate land degradation. These results illustrate the need to reconcile Vision 2030's development aims with environmental protection. Recommendations on policy: Increase the proportion of renewable energy to 50% of total energy consumption by 2030; expand afforestation to restore 10% of degraded land per year; work toward universal environmental protection for major development projects at a rate commensurate with the scale and potential impact. .

Scientific ReportsVol. 16(1)
University of Monastir (TN), Imam Mohammad ibn Saud Islamic University (SA), King Faisal University (SA)
Affordable and clean energy
Openalex Percentile: Top 11%
Remote Sensing in Agriculture
1.72
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Socioeconomic and climatic factors influencing desertification in Saudi Arabia through an ARDL approach — Faten Derouez, Mahmaod Alrawad, et al. · Scientific Reports (2025) | TGRS Research Map | TGRS