Assessment of Organization for Economic Co-Operation and Development Countries Based on Agricultural Performance Using Multi-Criteria Decision-Making Methods

Creative Commons License

Güler E., Yerel Kandemir S.

SUSTAINABILITY, cilt.17, sa.18, ss.1-26, 2025 (SCI-Expanded)

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 17 Sayı: 18
  • Basım Tarihi: 2025
  • Doi Numarası: 10.3390/su17188291
  • Dergi Adı: SUSTAINABILITY
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Social Sciences Citation Index (SSCI), Scopus, Aerospace Database, Agricultural & Environmental Science Database, CAB Abstracts, Communication Abstracts, Food Science & Technology Abstracts, Geobase, INSPEC, Metadex, Veterinary Science Database, Directory of Open Access Journals, Civil Engineering Abstracts
  • Sayfa Sayıları: ss.1-26
  • Açık Arşiv Koleksiyonu: AVESİS Açık Erişim Koleksiyonu
  • Bilecik Şeyh Edebali Üniversitesi Adresli: Evet

Özet

This study presents a comprehensive evaluation of agricultural performance across 38 Organization for Economic Co-Operation and Development countries using an integrated Multi-Criteria Decision-Making framework that combines Technique for Order Preference by Similarity to Ideal Solution, VlseKriterijumska Optimizacija I Kompromisno Resenje, Analytical Hierarchy Process-based weighting, and equalweighting strategies. The analysis reveals that the VlseKriterijumska Optimizacija I Kompromisno Resenje method exhibited greater sensitivity to changes in criterion weights, as confirmed by Spearman’s rank correlation (𝑃𝑣 = 0.507 < 𝑃𝑡 = 0.938), while Technique for Order Preference by Similarity to Ideal Solution produced more stable rankings. To confirm the differing outcomes, the Borda count technique is applied, yielding a highly consistent final ranking (𝑃𝑟𝑎𝑛𝑘 = 0.819). Remarkably, according to the integrated ranking results, Norway (total Borda score: 73) emerges as the top-performing country in terms of agricultural sustainability, whereas Ireland (total Borda score: 0) is positioned at the bottom. These findings offer a critical reference point for policymakers and stakeholders, highlighting both methodological rigor and practical relevance. By combining subjective and neutral weighting approaches, this study provides a balanced decision-support model and also underscores the potential of hybrid Multi-Criteria Decision-Making structures in generating nuanced and actionable insights in agricultural strategy development.