Evaluation of the performance of some European countries and Turkey based on agricultural environment and economic indicators using MCDM methods Bazı Avrupa ülkeleri ve Türkiye'nin tarımsal çevre ve ekonomi göstergelerine dayalı performanslarının ÇKKV yöntemleri ile değerlendirmesi


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Turkish Journal of Agricultural Economics, cilt.31, sa.2, ss.285-299, 2025 (Scopus, TRDizin) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 31 Sayı: 2
  • Basım Tarihi: 2025
  • Doi Numarası: 10.24181/tarekoder.1679779
  • Dergi Adı: Turkish Journal of Agricultural Economics
  • Derginin Tarandığı İndeksler: Scopus, TR DİZİN (ULAKBİM)
  • Sayfa Sayıları: ss.285-299
  • Anahtar Kelimeler: Agricultural environment indicators, European Countries, Ka-Decision, Multi-Criteria Decision Making (MCDM)
  • Bilecik Şeyh Edebali Üniversitesi Adresli: Evet

Özet

Purpose: This study aims to comparatively assess the environmental and economic impacts of agricultural activities in some European Union countries and Turkey. By considering agricultural environmental indicators and economic production capacity together, the analysis reveals the agricultural sustainability levels of countries from a holistic perspective. Thus, by examining how the balance between environmental pressures and production intensity varies across countries, the study significantly contributes to the development of sustainable agricultural policies. Design/Methodology/Approach: The study employed a total of eleven criteria: ten environmental indicators (K1–K10) based on annual average values from the EUROSTAT database for the period 2000–2023, and the average Gross Production Value (K11) from the FAOSTAT database for the period 2019–2023. Twenty-eight countries were evaluated in two stages: In the first stage, only environmental criteria were considered; in the second stage, the rankings were re-established by incorporating the economic dimension into the analysis. MOOSRA, MABAC, ROV, TOPSIS, PSI, WASPAS, REF-I, and REF-II methods were applied during the analysis process, and the resulting rankings were integrated using the BORDA method. All calculations were comprehensively performed using the Python-based Ka-Decision software. Findings: When environmental indicators were evaluated, Estonia, Latvia, Sweden, Finland, and Slovakia were identified as the highest-performing countries. However, with the inclusion of the economic criterion, these countries were found to have a decline in the overall ranking, while countries with high production capacity, such as France, Turkey, and Germany, emerged. This result demonstrates a significant inverse relationship between environmental performance and production intensity. Radar charts reveal that environmentally weak countries, despite their high production capacity, have more negative environmental impacts. Originality/Value: By evaluating environmental and economic indicators together, the study provides a multidimensional approach to agricultural sustainability, generating crucial strategic outcomes for policymakers.