Analysis of Food Security Performances of G7 Countries: An Application with LOPCOW-based DNMA Method

Abstract

Analyzing the food security performance of large economies is vital due to its significant impact on global food security policies and the broader economy. This study utilizes the most up-to-date data from 2022 obtained from the Global Food Security Index (GFSI) to assess the food security performances of G7 countries using the Logarithmic Percentage Change-driven Objective Weighting (LOPCOW) based Double Normalization-Based Multiple Aggregation (DNMA) Multi-Criteria Decision-Making (MCDM) method. Additionally, the food security performance of these countries is examined using various criterion weighting methods such as ENTROPY, Criteria Importance Through Inter Criteria Correlation, Statistical Variance Procedure, and Method based on the Removal Effects of Criteria, alongside multiple MCDM techniques including Range of Value, Additive Ratio Assessment, Technique for Order Preference by Similarity to Ideal Solution, Simple Additive Weighting, Weighted Product Method, and Weighted Aggregated Sum Product Assessment, incorporating previously assessed data from Economist Impact. The analysis reveals that the most significant GFSI indicator for these countries are Sustainability, Compliance, and Accessibility. According to the LOPCOW-based DNMA method, the food security performances of the countries are ranked as follows: Canada, Japan, Italy, France, the United States, the United Kingdom, and Germany. Notably, the food security performance values of the United States, the United Kingdom, and Germany are below the average. The findings suggest that G7 countries should prioritize meaningful actions related to Sustainability, Compliance, and Accessibility to enhance their contributions to global food security and the economy. Furthermore, it is essential for Germany, the United Kingdom, and the United States to improve their food security performances to bolster global food security. Methodologically, the LOPCOW-based DNMA method has been observed to align with sensitivity in sensitivity analysis, reliability and validity in comparative analysis, and robustness and stability in simulation analysis. Therefore, it has been evaluated that the LOPCOW-based DNMA method can effectively measure the food security performance of G7 countries within the GFSI framework.

Keywords

• Food security
• Food Security
• Global Food Security Index
• G7
• LOPCOW-based DNMA .

G7 Ülkelerinin Gıda Güvenliği Performanslarının Analizi: LOPCOW tabanlı DNMA Yöntemi ile Bir Uygulama

Abstract

Büyük ekonomilerin gıda güvenliği performansını analiz etmek, küresel gıda güvenliği politikaları ve daha geniş ekonomi üzerindeki önemli etkisi nedeniyle hayati öneme sahiptir. Bu çalışma, G7 ülkelerinin gıda güvenliği performanslarını Logaritmik Yüzde Değişimine Dayalı Objektif Ağırlıklandırma (LOPCOW) tabanlı Çift Normalizasyon Tabanlı Çoklu Birleştirme (DNMA) Çok Kriterli Karar Verme (MCDM) yöntemi ile değerlendirmek için 2022 yılına ait en güncel Verileri Küresel Gıda Güvenliği Endeksi (GFSI) kullanmaktadır. Ayrıca, bu ülkelerin gıda güvenliği performansını, Economist Impact tarafından daha önce değerlendirilen verilerle birlikte, ENTROPY, Kriterler Arası Korelasyon Üzerinden Kriter Önemlendirme, İstatistiksel Varyans Yöntemi ve Kriterlerin Çıkarma Etkilerine Dayalı Yöntem gibi çeşitli kriter ağırlıklandırma yöntemleri ile Değer Aralığı Yöntemi, Toplam Oran Değerlendirme Yöntemi, İdeal Çözüme Benzerlik ile Tercih Sıralama Tekniği, Basit Toplam Ağırlıklandırma Yöntemi, Ağırlıklı Çarpım Yöntemi ve Ağırlıklı Toplam ve Çarpım Birleştirme Değerlendirme Yöntemi gibi birçok MCDM tekniği ile incelenmektedir. Analiz, bu ülkeler için en önemli GFSI kriterlerinin Sürdürülebilirlik, Uyumluluk ve Erişilebilirlik olduğunu ortaya koymaktadır. LOPCOW tabanlı DNMA yöntemine göre, ülkelerin gıda güvenliği performansları sırasıyla Kanada, Japonya, İtalya, Fransa, ABD, Birleşik Krallık ve Almanya şeklindedir. Özellikle, ABD, Birleşik Krallık ve Almanya 'nın gıda güvenliği performans değerleri ortalamanın altındadır. Bulgular, G7 ülkelerinin küresel gıda güvenliği ve ekonomiye katkılarını artırmak için Sürdürülebilirlik ile Uyumluluk ve Erişilebilirlik ile ilgili anlamlı eylemlere öncelik vermeleri gerektiğini önermektedir. Ayrıca, Almanya, Birleşik Krallık ve ABD'nin küresel gıda güvenliği ve küresel artırmak için söz konusu ülkelerin gıda güvenliği performanslarını artırmaları gereklidir. Metodolojik olarak, LOPCOW tabanlı DNMA yöntemi, duyarlılık analizi ile duyarlılık, karşılaştırmalı analizde güvenilirlik ve geçerlilik, simülasyon analizinde ise sağlamlık ve istikrara uyum sağladığı gözlenmiştir. Bu nedenle, LOPCOW tabanlı DNMA yönteminin, GFSI çerçevesinde G7 ülkelerinin gıda güvenliği performansının ölçülebileceği değerlendirilmiştir.

Keywords

• Gıda güvenliği
• Küresel Gıda Güvenliği Endeksi
• G7
• LOPCOW tabanlı DNMA

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