Optimizing Agricultural Sustainability Through Land Use Changes Under the CAP Framework Using Multi-Criteria Decision Analysis in Northern Greece

This research investigates the implementation of multi-criteria decision analysis (MCDA) within the framework of the Common Agricultural Policy (CAP) for the period of 2023–2027, focusing on optimizing agricultural sustainability and profitability in Northern Greece. Using data from three farmer groups across Central and Western Macedonia, the study explores the application of MCDA models within three distinct case studies: the first optimizes a farm system focused on input minimization (Loudias), while the second and third (Ryakio and Agia Paraskevi) adopt a more comprehensive approach to farm management. More specifically, the first case focused on maximizing gross margin, minimizing variable costs, and reducing fertilizer use without targeting a reduction in water usage. By contrast, the second case study adopted a holistic approach to farm management, integrating water conservation in the Ryakio farmer group. The third included the requirement to keep arable land fallow in the Agia Paraskevi farmer group, reflecting the CAP’s new mandates. The results indicate that MCDA facilitates strategic crop selection and land changes that significantly enhance farm management efficiency and sustainability. The optimization led to more significant percentage increases in gross margin for the second (Ryakio) and third (Agia Paraskevi) case studies compared to the first, with the Agia Paraskevi group showing the most substantial improvement.

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Publication Details

Journal
Land
Published
2025-08-15
DOI
https://doi.org/10.3390/land14081658
Citations
2
Primary Topic
Sustainable Agricultural Systems Analysis
Type
article
Field-Weighted Citation Impact
1.72

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article

Optimizing Agricultural Sustainability Through Land Use Changes Under the CAP Framework Using Multi-Criteria Decision Analysis in Northern Greece

Evgenia Lialia, Thomas Bournaris, Christina Kleisiari, Eleni Dimitriadou et al.
2 citations
Land
Sustainable Agricultural Systems Analysis
1.72
article

Optimizing Agricultural Sustainability Through Land Use Changes Under the CAP Framework Using Multi-Criteria Decision Analysis in Northern Greece

Evgenia Lialia, Thomas Bournaris, Christina Kleisiari, Eleni Dimitriadou, Asimina Kouriati, Christina Moulogianni, Angelos Prentzas, Anna Tafidou
article en
2 citations

Abstract

This research investigates the implementation of multi-criteria decision analysis (MCDA) within the framework of the Common Agricultural Policy (CAP) for the period of 2023–2027, focusing on optimizing agricultural sustainability and profitability in Northern Greece. Using data from three farmer groups across Central and Western Macedonia, the study explores the application of MCDA models within three distinct case studies: the first optimizes a farm system focused on input minimization (Loudias), while the second and third (Ryakio and Agia Paraskevi) adopt a more comprehensive approach to farm management. More specifically, the first case focused on maximizing gross margin, minimizing variable costs, and reducing fertilizer use without targeting a reduction in water usage. By contrast, the second case study adopted a holistic approach to farm management, integrating water conservation in the Ryakio farmer group. The third included the requirement to keep arable land fallow in the Agia Paraskevi farmer group, reflecting the CAP’s new mandates. The results indicate that MCDA facilitates strategic crop selection and land changes that significantly enhance farm management efficiency and sustainability. The optimization led to more significant percentage increases in gross margin for the second (Ryakio) and third (Agia Paraskevi) case studies compared to the first, with the Agia Paraskevi group showing the most substantial improvement.

LandVol. 14(8)
University of Thessaly (GR), Aristotle University of Thessaloniki (GR)
European Agricultural Fund for Rural Development
Openalex Percentile: Top 15%
Sustainable Agricultural Systems Analysis
1.72
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