Key Indicators in Analyzing the Sustainability of Afghanistan's Natural Resources

This study examines the factors affecting the sustainability of Afghanistan's natural resources, aiming to provide a framework for sustainable development and poverty alleviation. Using the Analytic Hierarchy Process (AHP) and strategic planning models, key factors such as organizational structure, management, economic, social, cultural, and ecological aspects were identified and prioritized. The findings indicate that organizational and managerial structure is the most critical factor, accounting for 38% of the overall importance. The research underscores the necessity for integrated and systematic management of natural resources to enhance economic and social well-being. It also emphasizes strategic planning, monitoring, and evaluation as essential components for effective resource management. A proposed model for sustainable natural resource management includes community empowerment, knowledge integration, economic viability, and improved communication among stakeholders. The study suggests that Afghanistan can develop its natural resources sustainably by leveraging strengths and opportunities while addressing weaknesses and threats. A comprehensive understanding of the various influencing factors and their interactions is vital for designing an effective model for sustainable management. This research contributes to the discourse on sustainable development in Afghanistan, providing actionable insights for policymakers and stakeholders in the natural resource sector.

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Publication Details

Journal
Jurnal Syntax Transformation
Published
2024-09-30
DOI
https://doi.org/10.46799/jst.v5i9.1010
Primary Topic
Politics and Conflicts in Afghanistan, Pakistan, and Middle East
Type
article
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article

Key Indicators in Analyzing the Sustainability of Afghanistan's Natural Resources

Fayaz Gul Mazloum Yar, Shamsurahman Zahid, Izat Ullah Sail, Aurelia Widya Astuti
Jurnal Syntax Transformation
Politics and Conflicts in Afghanistan, Pakistan, and Middle East
article

Key Indicators in Analyzing the Sustainability of Afghanistan's Natural Resources

Fayaz Gul Mazloum Yar, Shamsurahman Zahid, Izat Ullah Sail, Aurelia Widya Astuti
article en

Abstract

This study examines the factors affecting the sustainability of Afghanistan's natural resources, aiming to provide a framework for sustainable development and poverty alleviation. Using the Analytic Hierarchy Process (AHP) and strategic planning models, key factors such as organizational structure, management, economic, social, cultural, and ecological aspects were identified and prioritized. The findings indicate that organizational and managerial structure is the most critical factor, accounting for 38% of the overall importance. The research underscores the necessity for integrated and systematic management of natural resources to enhance economic and social well-being. It also emphasizes strategic planning, monitoring, and evaluation as essential components for effective resource management. A proposed model for sustainable natural resource management includes community empowerment, knowledge integration, economic viability, and improved communication among stakeholders. The study suggests that Afghanistan can develop its natural resources sustainably by leveraging strengths and opportunities while addressing weaknesses and threats. A comprehensive understanding of the various influencing factors and their interactions is vital for designing an effective model for sustainable management. This research contributes to the discourse on sustainable development in Afghanistan, providing actionable insights for policymakers and stakeholders in the natural resource sector.

Jurnal Syntax TransformationVol. 5(9)
Nangarhar University (AF), Politeknik Siber Cerdika Internasional
Openalex Percentile: Top 69%
Politics and Conflicts in Afghanistan, Pakistan, and Middle East
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Key Indicators in Analyzing the Sustainability of Afghanistan's Natural Resources — Fayaz Gul Mazloum Yar, Shamsurahman Zahid, et al. · Jurnal Syntax Transformation (2024) | TGRS Research Map | TGRS