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

Yıl 2025, Cilt: 3 Sayı: 1, 27 - 42, 28.03.2025

Öz

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.

Kaynakça

  • Abogahsem, P., Sara, G., Mohsen, P. (2018). Food Security and Economic Growth. Journal of Nutrition and Food Security, 3(3), 113–115.
  • Ahmad, N. (2021). Food insecurity: Concept, causes, effects and possible solutions. IAR Journal of Humanities and Social Science, 2(1), 105-113. https://doi.org/ 10.47310/jiarjhss.v02i01.016
  • Akbari, M., Foroudi, P., Shahmoradi, M., Padash, H., Shahabaldini Parizi, Z., Khosravani, A., Cuomo, M. T. (2022). The evolution of food security: Where are we now, Where should we go next? Sustainability, 14, 1-17. https://doi.org/10.3390/su14063634
  • Ala, A., Ridwan, I. (2020). Food security and sustainable agriculture. Earth and Environmental Science, 486, 1-6. https://doi.org/ 10.1088/1755-1315/486/1/012110
  • Ayçin, E. (2019). Çok kriterli karar verme. Ankara: Nobel Yayın.
  • Barrett, C. B., Lentz, E. C. (2009). Food Insecurity, Wiley-Blackwell Publishing, London.
  • Bazga, B. (2015). Food security component of sustainable development-prospects and challenges in the next decade. Procedia Economics and Finance, 32, 1075–1082. https://doi.org/10.1016/S2212-5671(15)01570-1
  • Bektaş, S. (2022). Türk sigorta sektörünün 2002-2021 dönemi için MEREC, LOPCOW, COCOSO, EDAS ÇKKV yöntemleri ile performansının değerlendirilmesi. BDDK Bankacılık ve Finansal Piyasalar Dergisi, 16(2), 247-283. https://doi.org/10.46520/bddkdergisi.1178359
  • Berry, E. M., Dernini, S., Burlingame, B., Meybeck, A., Conforti, P. (2015). Food security and sustainability: can one exist without the other? Public Health Nutrition, 1-10. https://doi.org/10.1017/S136898001500021X.
  • Biswas, S., Pamucar, D., Dawn, S., Simic, V. (2024). Evaluation based on Relative utility and nonlinear standardization (eruns) method for comparing firm performance in energy sector. Decision Making Advances, 2(1), 1-21. https://doi.org/10.31181/dma21202419
  • Bozsik, N., Cubillos, J. P., Stalbek, B., Vasa, L., Magda, R. (2022). Food security management in developing countries: Influence of economic factors on their food availability and access. PLOS ONE, 17(7), 1-24. https://doi.org/10.1371/journal.pone.0271696
  • Breisinger, C., Ecker, O. (2014). Simulating economic growth effects on food and nutrition security in Yemen: A new macro–micro modeling approach. Economic Modelling, 43,100–113. https://doi.org/10.1016/j.econmod.2014.07.029
  • Ciardiello, F., Genovese, A. (2023). A comparison between TOPSIS and SAW methods. Annals of Operations Research, 325, 967–994. https://doi.org/10.1007/s10479-023-05339-w.
  • Chatterjee, S., Chakraborty, S. (2024). A study on the effects of objective weighting methods on TOPSIS-based parametric optimization of non-traditional machining processes. Decision Analytics Journal, 11, 1-16. https://doi.org/10.1016/j.dajour.2024.100451
  • Chen, Y. Q., Chen, Y. H. (2023). Economic growth, income inequality and food safety risk. Foods, 12, 1-17. https://doi.org/10.3390/foods12163066
  • Demir, G., Özyalçın, A. T., Bircan, H. (2021). Çok kriterli karar verme yöntemleri ve ÇKKV yazılımı ile problem çözümü. Ankara: Nobel.
  • Demir, G. (2022). Analysis of the financial performance of the deposit banking sector in the covid-19 period with LMAW-DNMA methods. International Journal of Insurance and Finance, 17-36. https://doi.org/10.52898/ijif.2022.7
  • Demir, G., Arslan, R. (2022). Sensitivity Analysis in Multi-Criteria Decision-Making Problems. Ankara Hacı Bayram Veli Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 24(3), 1025-1056.
  • Denning, G. (2023). Universal Food Security, New York: Colombia University Press.
  • Desta, A. (2017). Linkages between economic growth and food security: An eclectic perspective. Review of Business Research, 17(1), 31-40. https://doi.org/10.18374/RBR-17-1.4
  • Dhruva, S., Krishankumar, R., Zavadskas, E. K., Ravichandran, K. S., Gandomi, A. H. (2024). Selection of Suitable Cloud Vendors for health centre: A personalized decision framework with fermatean fuzzy set, LOPCOW, and CoCoSo. Informatica, 35(1), 65–98. https://doi.org/10.15388/23-INFOR537
  • Diakoulaki, D., Mavrotas, G., & Papayannakis, L. (1995). Determining Objective Weights in Multiple Criteria Problems: The Critic Method. Computers & Operations Research, 22(7), 763-770.
  • Dua, T., Duc, D. V., Bao, N. C., Trung, D. D. (2024). Integration of objective weighting methods for criteria and mcdm methods: Application in material selection. EUREKA: Physics and Engineering(2), 131-148. https://doi.org/10.21303/2461-4262.2024.003171
  • Dutta, H., Saikia, A. A. (2018). Food security: A review on its definition, levels and evolution. Trans Asian Research Journals, 7(7), 111-122.
  • Dündar, S. (2023). Performance analysis of regional development agencies by LMAW-DNMA methods. Osmangazi Üniversitesi İİBF Dergisi, 18(2), 354–380. https://doi.org/10.17153/oguiibf.1234630
  • Dyvik, E. H. (2024). Gross domestic product growth rate forecast of G7 countries 2023-2029. Retrieved from https://www.statista.com/statistics/1370777/g7-country-gdp-growth-forecast/.
  • Ecer, F. (2020). Çok Kriterli Karar Verme, Seçkin Yayıncılık, Ankara.
  • Ecer, F., Pamucar, D. (2022). A novel LOPCOW-DOBI multi-criteria sustainability performance assessment methodology: An application in developing country banking sector. Omega, 112, 1-17. https://doi.org/10.1016/j.omega.2022.102690
  • Ecer, F., Zolfani, S. H. (2022). Evaluating Economic Freedom Via A Multi-Criteria MEREC-DNMA Model-Based Composite System: Case of OPEC Countries. Technological and Economic Development of Economy, 28(4), 1158–1181. https://doi.org/10.3846/tede.2022.17152
  • Ecer, F., Yaran Ögel, İ., Krishankumar, R., Tirkolaee, E. B. (2023). The q rung fuzzy LOPCOW VIKOR model to assess the role of unmanned aerial vehicles for precision agriculture realization in the Agri Food 4.0 era. Artificial Intelligence Review, 56, 13373–13406. https://doi.org/10.1007/s10462-023-10476-6
  • Economist Impact. (2022). Global Food Security Index 2022, London: The Economist Group.
  • El Mokhtar, M., Boutaj, H., Anli, M., Draoui, A., Laouane, R. B., Zarik, L., Fakhech, A. (2019). Global Environmental Changes and Human Health. In Food security and climate change, IGI Global, Hershey, pp 53-73.
  • FAO. (2008). Climate change, water and food security, Rome: Food Agriculture Organization Publication.
  • FAO. (2012). Global Strategic Framework For Food Security And Nutrition. Rome: Food and Agriculture Organization of the United States.
  • Fernandes, M., Samputra, P. L. (2022). Exploring linkages between food security and economic growth: A systematic mapping literature review. Potravinarstvo Slovak Journal of Food Sciences, 16, 206-218. https://doi.org/10.5219/1734
  • García-Díez, J., Gonçalves, C., Grispoldi, L., Cenci-Goga, B., Saraiva, C. (2021). Determining food stability to achieve food security. Sustainability, 13, 1-13. https://doi.org/10.3390/su13137222
  • Germany G7. (2022). G7 Statement on Global Food Security. Retrieved from: www.reliefweb.int/report/world/g7-statement-global-food-security-elmau-28-june-2022.
  • Gibson, M. (2012). Food security—a commentary: What is it and Why is it so complicated? Foods, 1, 18-27.
  • Gnedeka, K. T. (2023). New evidence in the relationship between trade openness and food security in Sub Saharan Africa. Agriculture Food Security, 12(31), 1-17. https://doi.org/10.1186/s40066-023-00439-z
  • Group G7. (2019). Financial Report on Food Security and Nutrition. Retrieved from: www.diplomatie.gouv.fr.
  • Hezam, I. M., Mishra, A. R., Rani, P., Cavallaro, F., Saha, A., Ali, J., Štreimikiene, D. (2022). A hybrid intuitionistic Fuzzy-MEREC-RS-DNMA method for assessing the alternative fuel vehicles with sustainability perspectives. Sustainability, 14, 1-32. https://doi.org/10.3390/su14095463
  • HLPE Steering. (2012). Food security and climate change, High Level Panel of Experts on Food Security and Nutrition Rome: (HLPE) Steering Committee.
  • Işık, Ö., Shabir, M., Belke, M. (2023). Is there a causal relationship between financial performance and premium production? evidence from Turkish insurance industry. Mehmet Akif Ersoy İktisadi ve İdari Bilimler Fakültesi Dergisi, 10(2), 1388-1412. https://doi.org/10.30798/makuiibf.1220299
  • Kahreman, Y. (2024). D8 ülkelerinin ekonomik performanslarının CRITIC/LOPCOW-CoCoSo modeli ile değerlendirilmesi. Anadolu Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 25(1), 534-559. https://doi.org/10.30798/makuiibf.1220299
  • Kang, H. (2015). A study on the relationship between international trade and food security: Evidence from less developed countries (LDCs). Agricultural Economics, 61(10), 475-483. https://doi.org/10.17221/246/2014-AGRICECON
  • Kavallari, A., Fellmann, T., Gay, S. H. (2014). Shocks in economic growth: Shocking effects for food security? In Food Security Springer Science and Business Media LLC. 6(4), 567–583. https://doi.org/10.1007/s12571-014-0368-y
  • Keleş, N. (2023). Uygulamalarla Klasik ve Güncel Karar Verme Yöntemleri, Ankara: Nobel Bilimsel.
  • Kerr, W. A. (2023). Food Security, Availability, Income and Productivity, Cheltenham: Edward Elgar Publishing,
  • Keshavarz-Ghorabaee, M., Amiri, M., Zavadskas, E. K., Turskis, Z., Antucheviciene, J. (2021). Determination of Objective Weights Using a New Method Based on the Removal Effects of Criteria (MEREC). Symmetry, 13, 1-20. https://doi.org/10.3390/sym13040525
  • Kumar, D., Raza, A. (2011). Agriculture and Food Security. Delhi: Deep & Deep Publications.
  • Lai, H., Liao, H., Šaparauskas, J., Banaitis, A., Ferreira, F. A., Al-Barakati, A. (2020). Sustainable cloud service provider development by a Z-Number-Based DNMA method with gini-coeffcient-basedweight determination. Sustainability, 12, 1-17. https://doi.org/10.3390/su12083410
  • Liao, H., Ren, R., Antucheviciene, J., Šaparauskas, J., Al-Barakati, A. (2020). Sustainable construction supplier selection by a multiple criteria decision-making method with hesitant linguistic information. EM Economics and Management, 23(4), 119–136. https://doi.org/10.15240/tul/001/2020-4-008
  • Manap, N. M., Ismail, N. W. (2019). Food security and economic growth. International Journal of Modern Trends in Social Sciences, 2(8), 108--118.
  • Martin Ralph, C., May, E. (2019). Food Security: From Excess to Enough. Toronto: A.J. Patrick Boyer Book.
  • Martindale, W. (2014). Global Food Security and Supply, Malden: Wiley Blackwell.
  • Ministry of Foreign Affairs of Japan. (2016). G7 Vision for Action on Food Security and Nutrition. Retrieved from: www.mofa.go.jp.
  • Mishra, A. R., Rani, P., Saha, A., Hezam, I., Cavallaro, F., Chakrabortty, R. K. (2023). An extended DNMA-based multi-criteria decision-making method and its application in the assessment of sustainable location for a lithium-ion batteries’ manufacturing plant, Heliyon, 9, 1-24. https://doi.org/10.1016/j.heliyon.2023.e14244
  • Moafi, F., Kazemi, F., Siboni, F. S., Zainab, A. (2018). The relationship between food security and quality of life among pregnant women. BMC Pregnancy and Childbirth, 18(319), 1-9. https://doi.org/10.1186/s12884-018-1947-2
  • Naz, S., Amin, H., Khan, J., Nawaz, F. (2023). Determinants of food security among the rural households of the developing countries: A systematic literature review. Journal of Asian Development Studies, 12(3), 811-826.
  • Nie, S., Liao, H., Wu, X., Tang, M., Al-Barakati, A. (2019). Hesitant fuzzy linguistic DNMA method with cardinal consensus reaching process for shopping mall location selection. International Journal of Strategic Property Management, 23(6), 420–434. https://doi.org/10.3846/ijspm.2019.10851
  • Ojimadu, P. K. (2022). Food security and economic development in Nigeria. Global Journal of Applied, Management and Social Sciences (GOJAMSS), 24, 90-101.
  • Öztaş, T., Öztaş, G. Z. (2024). Innovation performance analysis of G20 countries: A novel integrated LOPCOW-MAIRCA MCDM approach including the COVID-19 period. Verimlilik Dergisi, Special Issue, 1-20. https://doi.org/10.51551/verimlilik.1320794
  • Peng, W., Berry, E. M. (2019). The concept of food security. Encyclopedia of food security and sustainability, 2, 1-7.
  • Pourreza, A., Geravandi, S., Pakdaman, M. (2018). Food security and economic growth. Journal of Nutrition and Food Security (JNFS), 3(3), 113-115.
  • Roetter, R. P., Van Keulen, H. (2007). Food Security. In Science for Agriculture And Rural Development in Low-Income Countries, Edited: R. P. Roetter, H. Van Keulen, M. Kuiper, J. Verhagen, H. H. Van Laar, Springer, Dordrecht, pp. 27-56.
  • Saha, A., Mishra, A. R., Rani, P., Hezam, I. M., Cavallaro, F. (2022). Q-rung orthopair fuzzy FUCOM double normalization-based multi-aggregation method for healthcarewaste treatment method selection. Sustainability, 14, 1-28. https://doi.org/10.3390/su14074171
  • Salahodjaev, R., Mirziyoyeva, Z. (2021). The link between food security and life satisfaction: Panel DATA ANALYSIS. Sustainability, 13, 1-9. https://doi.org/10.3390/su13052918
  • Shakeel, A. (2018). Food security: Theorizing the evolution and involution of the concept. The Arab World Geographer/Le Géographe du monde arabe, 21(1), 58-82.
  • Simic, V., Miletic, S. D., Tirkolaee, E. B., Stević, Ž., Ala, A., Amirteimoori, A. (2023). Neutrosophic LOPCOW ARAS model for prioritizing industry 4.0 based material handling technologies in smart and sustainable warehouse management systems. Applied Soft Computing, 143, 1-10.
  • Timmer, P. C. (2005). Food security and economic growth: An Asian perspective. Asian Pasific Economic Literature, 19(1), 1-17.
  • Uludağ, A. S., & Doğan, H. (2021). Üretim yönetiminde çok kriterli karar verme yöntemleri. Ankara: Nobel Yayıncılık.
  • Ulutaş, A., & Topal, A. (2020). Bütünleştirilmiş çok kriterli karar verme yöntemlerinin üretim sektörü uygulamaları. Ankara: Akademisyen Kitapevi.
  • Widada, A. W., Masyhuri, M., & Mulyo, J. H. (2017). Determinant Factors of Food Security in Indonesia. Agro Ekonomi, 28(2), 205-218. https://doi.org/ 10.22146/jae.26245
  • Wu, X., Liao, H. (2019). Comparison Analysis between DNMA Method and Other MCDM Methods. ICSES Transaction on Neural and Fuzzy Computing, 2(1), 4-10.
  • Yalman, İ. N., Koşaroğlu, Ş. M., Işık, Ö. (2023). 2000-2020 döneminde Türkiye ekonomisinin makroekonomik performansının MEREC-LOPCOW-MARCOS modeliyle değerlendirilmesi. Finans Politik Ekonomik Yorumlar, 664, 57-86.
  • Zhang, H., Liao, H., Wu, X., Zavadskas, E. K., Al-Barakati, A. (2020). Internet financial investment product selection with pythagorean fuzzy DNMA method. Inzinerine Ekonomika-Engineering Economics, 31(1), 61–71.
  • Zhou, Z. Y. (2020). Global Food Security (What Matters?), New York: Routledge

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

Yıl 2025, Cilt: 3 Sayı: 1, 27 - 42, 28.03.2025

Öz

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.

Kaynakça

  • Abogahsem, P., Sara, G., Mohsen, P. (2018). Food Security and Economic Growth. Journal of Nutrition and Food Security, 3(3), 113–115.
  • Ahmad, N. (2021). Food insecurity: Concept, causes, effects and possible solutions. IAR Journal of Humanities and Social Science, 2(1), 105-113. https://doi.org/ 10.47310/jiarjhss.v02i01.016
  • Akbari, M., Foroudi, P., Shahmoradi, M., Padash, H., Shahabaldini Parizi, Z., Khosravani, A., Cuomo, M. T. (2022). The evolution of food security: Where are we now, Where should we go next? Sustainability, 14, 1-17. https://doi.org/10.3390/su14063634
  • Ala, A., Ridwan, I. (2020). Food security and sustainable agriculture. Earth and Environmental Science, 486, 1-6. https://doi.org/ 10.1088/1755-1315/486/1/012110
  • Ayçin, E. (2019). Çok kriterli karar verme. Ankara: Nobel Yayın.
  • Barrett, C. B., Lentz, E. C. (2009). Food Insecurity, Wiley-Blackwell Publishing, London.
  • Bazga, B. (2015). Food security component of sustainable development-prospects and challenges in the next decade. Procedia Economics and Finance, 32, 1075–1082. https://doi.org/10.1016/S2212-5671(15)01570-1
  • Bektaş, S. (2022). Türk sigorta sektörünün 2002-2021 dönemi için MEREC, LOPCOW, COCOSO, EDAS ÇKKV yöntemleri ile performansının değerlendirilmesi. BDDK Bankacılık ve Finansal Piyasalar Dergisi, 16(2), 247-283. https://doi.org/10.46520/bddkdergisi.1178359
  • Berry, E. M., Dernini, S., Burlingame, B., Meybeck, A., Conforti, P. (2015). Food security and sustainability: can one exist without the other? Public Health Nutrition, 1-10. https://doi.org/10.1017/S136898001500021X.
  • Biswas, S., Pamucar, D., Dawn, S., Simic, V. (2024). Evaluation based on Relative utility and nonlinear standardization (eruns) method for comparing firm performance in energy sector. Decision Making Advances, 2(1), 1-21. https://doi.org/10.31181/dma21202419
  • Bozsik, N., Cubillos, J. P., Stalbek, B., Vasa, L., Magda, R. (2022). Food security management in developing countries: Influence of economic factors on their food availability and access. PLOS ONE, 17(7), 1-24. https://doi.org/10.1371/journal.pone.0271696
  • Breisinger, C., Ecker, O. (2014). Simulating economic growth effects on food and nutrition security in Yemen: A new macro–micro modeling approach. Economic Modelling, 43,100–113. https://doi.org/10.1016/j.econmod.2014.07.029
  • Ciardiello, F., Genovese, A. (2023). A comparison between TOPSIS and SAW methods. Annals of Operations Research, 325, 967–994. https://doi.org/10.1007/s10479-023-05339-w.
  • Chatterjee, S., Chakraborty, S. (2024). A study on the effects of objective weighting methods on TOPSIS-based parametric optimization of non-traditional machining processes. Decision Analytics Journal, 11, 1-16. https://doi.org/10.1016/j.dajour.2024.100451
  • Chen, Y. Q., Chen, Y. H. (2023). Economic growth, income inequality and food safety risk. Foods, 12, 1-17. https://doi.org/10.3390/foods12163066
  • Demir, G., Özyalçın, A. T., Bircan, H. (2021). Çok kriterli karar verme yöntemleri ve ÇKKV yazılımı ile problem çözümü. Ankara: Nobel.
  • Demir, G. (2022). Analysis of the financial performance of the deposit banking sector in the covid-19 period with LMAW-DNMA methods. International Journal of Insurance and Finance, 17-36. https://doi.org/10.52898/ijif.2022.7
  • Demir, G., Arslan, R. (2022). Sensitivity Analysis in Multi-Criteria Decision-Making Problems. Ankara Hacı Bayram Veli Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 24(3), 1025-1056.
  • Denning, G. (2023). Universal Food Security, New York: Colombia University Press.
  • Desta, A. (2017). Linkages between economic growth and food security: An eclectic perspective. Review of Business Research, 17(1), 31-40. https://doi.org/10.18374/RBR-17-1.4
  • Dhruva, S., Krishankumar, R., Zavadskas, E. K., Ravichandran, K. S., Gandomi, A. H. (2024). Selection of Suitable Cloud Vendors for health centre: A personalized decision framework with fermatean fuzzy set, LOPCOW, and CoCoSo. Informatica, 35(1), 65–98. https://doi.org/10.15388/23-INFOR537
  • Diakoulaki, D., Mavrotas, G., & Papayannakis, L. (1995). Determining Objective Weights in Multiple Criteria Problems: The Critic Method. Computers & Operations Research, 22(7), 763-770.
  • Dua, T., Duc, D. V., Bao, N. C., Trung, D. D. (2024). Integration of objective weighting methods for criteria and mcdm methods: Application in material selection. EUREKA: Physics and Engineering(2), 131-148. https://doi.org/10.21303/2461-4262.2024.003171
  • Dutta, H., Saikia, A. A. (2018). Food security: A review on its definition, levels and evolution. Trans Asian Research Journals, 7(7), 111-122.
  • Dündar, S. (2023). Performance analysis of regional development agencies by LMAW-DNMA methods. Osmangazi Üniversitesi İİBF Dergisi, 18(2), 354–380. https://doi.org/10.17153/oguiibf.1234630
  • Dyvik, E. H. (2024). Gross domestic product growth rate forecast of G7 countries 2023-2029. Retrieved from https://www.statista.com/statistics/1370777/g7-country-gdp-growth-forecast/.
  • Ecer, F. (2020). Çok Kriterli Karar Verme, Seçkin Yayıncılık, Ankara.
  • Ecer, F., Pamucar, D. (2022). A novel LOPCOW-DOBI multi-criteria sustainability performance assessment methodology: An application in developing country banking sector. Omega, 112, 1-17. https://doi.org/10.1016/j.omega.2022.102690
  • Ecer, F., Zolfani, S. H. (2022). Evaluating Economic Freedom Via A Multi-Criteria MEREC-DNMA Model-Based Composite System: Case of OPEC Countries. Technological and Economic Development of Economy, 28(4), 1158–1181. https://doi.org/10.3846/tede.2022.17152
  • Ecer, F., Yaran Ögel, İ., Krishankumar, R., Tirkolaee, E. B. (2023). The q rung fuzzy LOPCOW VIKOR model to assess the role of unmanned aerial vehicles for precision agriculture realization in the Agri Food 4.0 era. Artificial Intelligence Review, 56, 13373–13406. https://doi.org/10.1007/s10462-023-10476-6
  • Economist Impact. (2022). Global Food Security Index 2022, London: The Economist Group.
  • El Mokhtar, M., Boutaj, H., Anli, M., Draoui, A., Laouane, R. B., Zarik, L., Fakhech, A. (2019). Global Environmental Changes and Human Health. In Food security and climate change, IGI Global, Hershey, pp 53-73.
  • FAO. (2008). Climate change, water and food security, Rome: Food Agriculture Organization Publication.
  • FAO. (2012). Global Strategic Framework For Food Security And Nutrition. Rome: Food and Agriculture Organization of the United States.
  • Fernandes, M., Samputra, P. L. (2022). Exploring linkages between food security and economic growth: A systematic mapping literature review. Potravinarstvo Slovak Journal of Food Sciences, 16, 206-218. https://doi.org/10.5219/1734
  • García-Díez, J., Gonçalves, C., Grispoldi, L., Cenci-Goga, B., Saraiva, C. (2021). Determining food stability to achieve food security. Sustainability, 13, 1-13. https://doi.org/10.3390/su13137222
  • Germany G7. (2022). G7 Statement on Global Food Security. Retrieved from: www.reliefweb.int/report/world/g7-statement-global-food-security-elmau-28-june-2022.
  • Gibson, M. (2012). Food security—a commentary: What is it and Why is it so complicated? Foods, 1, 18-27.
  • Gnedeka, K. T. (2023). New evidence in the relationship between trade openness and food security in Sub Saharan Africa. Agriculture Food Security, 12(31), 1-17. https://doi.org/10.1186/s40066-023-00439-z
  • Group G7. (2019). Financial Report on Food Security and Nutrition. Retrieved from: www.diplomatie.gouv.fr.
  • Hezam, I. M., Mishra, A. R., Rani, P., Cavallaro, F., Saha, A., Ali, J., Štreimikiene, D. (2022). A hybrid intuitionistic Fuzzy-MEREC-RS-DNMA method for assessing the alternative fuel vehicles with sustainability perspectives. Sustainability, 14, 1-32. https://doi.org/10.3390/su14095463
  • HLPE Steering. (2012). Food security and climate change, High Level Panel of Experts on Food Security and Nutrition Rome: (HLPE) Steering Committee.
  • Işık, Ö., Shabir, M., Belke, M. (2023). Is there a causal relationship between financial performance and premium production? evidence from Turkish insurance industry. Mehmet Akif Ersoy İktisadi ve İdari Bilimler Fakültesi Dergisi, 10(2), 1388-1412. https://doi.org/10.30798/makuiibf.1220299
  • Kahreman, Y. (2024). D8 ülkelerinin ekonomik performanslarının CRITIC/LOPCOW-CoCoSo modeli ile değerlendirilmesi. Anadolu Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 25(1), 534-559. https://doi.org/10.30798/makuiibf.1220299
  • Kang, H. (2015). A study on the relationship between international trade and food security: Evidence from less developed countries (LDCs). Agricultural Economics, 61(10), 475-483. https://doi.org/10.17221/246/2014-AGRICECON
  • Kavallari, A., Fellmann, T., Gay, S. H. (2014). Shocks in economic growth: Shocking effects for food security? In Food Security Springer Science and Business Media LLC. 6(4), 567–583. https://doi.org/10.1007/s12571-014-0368-y
  • Keleş, N. (2023). Uygulamalarla Klasik ve Güncel Karar Verme Yöntemleri, Ankara: Nobel Bilimsel.
  • Kerr, W. A. (2023). Food Security, Availability, Income and Productivity, Cheltenham: Edward Elgar Publishing,
  • Keshavarz-Ghorabaee, M., Amiri, M., Zavadskas, E. K., Turskis, Z., Antucheviciene, J. (2021). Determination of Objective Weights Using a New Method Based on the Removal Effects of Criteria (MEREC). Symmetry, 13, 1-20. https://doi.org/10.3390/sym13040525
  • Kumar, D., Raza, A. (2011). Agriculture and Food Security. Delhi: Deep & Deep Publications.
  • Lai, H., Liao, H., Šaparauskas, J., Banaitis, A., Ferreira, F. A., Al-Barakati, A. (2020). Sustainable cloud service provider development by a Z-Number-Based DNMA method with gini-coeffcient-basedweight determination. Sustainability, 12, 1-17. https://doi.org/10.3390/su12083410
  • Liao, H., Ren, R., Antucheviciene, J., Šaparauskas, J., Al-Barakati, A. (2020). Sustainable construction supplier selection by a multiple criteria decision-making method with hesitant linguistic information. EM Economics and Management, 23(4), 119–136. https://doi.org/10.15240/tul/001/2020-4-008
  • Manap, N. M., Ismail, N. W. (2019). Food security and economic growth. International Journal of Modern Trends in Social Sciences, 2(8), 108--118.
  • Martin Ralph, C., May, E. (2019). Food Security: From Excess to Enough. Toronto: A.J. Patrick Boyer Book.
  • Martindale, W. (2014). Global Food Security and Supply, Malden: Wiley Blackwell.
  • Ministry of Foreign Affairs of Japan. (2016). G7 Vision for Action on Food Security and Nutrition. Retrieved from: www.mofa.go.jp.
  • Mishra, A. R., Rani, P., Saha, A., Hezam, I., Cavallaro, F., Chakrabortty, R. K. (2023). An extended DNMA-based multi-criteria decision-making method and its application in the assessment of sustainable location for a lithium-ion batteries’ manufacturing plant, Heliyon, 9, 1-24. https://doi.org/10.1016/j.heliyon.2023.e14244
  • Moafi, F., Kazemi, F., Siboni, F. S., Zainab, A. (2018). The relationship between food security and quality of life among pregnant women. BMC Pregnancy and Childbirth, 18(319), 1-9. https://doi.org/10.1186/s12884-018-1947-2
  • Naz, S., Amin, H., Khan, J., Nawaz, F. (2023). Determinants of food security among the rural households of the developing countries: A systematic literature review. Journal of Asian Development Studies, 12(3), 811-826.
  • Nie, S., Liao, H., Wu, X., Tang, M., Al-Barakati, A. (2019). Hesitant fuzzy linguistic DNMA method with cardinal consensus reaching process for shopping mall location selection. International Journal of Strategic Property Management, 23(6), 420–434. https://doi.org/10.3846/ijspm.2019.10851
  • Ojimadu, P. K. (2022). Food security and economic development in Nigeria. Global Journal of Applied, Management and Social Sciences (GOJAMSS), 24, 90-101.
  • Öztaş, T., Öztaş, G. Z. (2024). Innovation performance analysis of G20 countries: A novel integrated LOPCOW-MAIRCA MCDM approach including the COVID-19 period. Verimlilik Dergisi, Special Issue, 1-20. https://doi.org/10.51551/verimlilik.1320794
  • Peng, W., Berry, E. M. (2019). The concept of food security. Encyclopedia of food security and sustainability, 2, 1-7.
  • Pourreza, A., Geravandi, S., Pakdaman, M. (2018). Food security and economic growth. Journal of Nutrition and Food Security (JNFS), 3(3), 113-115.
  • Roetter, R. P., Van Keulen, H. (2007). Food Security. In Science for Agriculture And Rural Development in Low-Income Countries, Edited: R. P. Roetter, H. Van Keulen, M. Kuiper, J. Verhagen, H. H. Van Laar, Springer, Dordrecht, pp. 27-56.
  • Saha, A., Mishra, A. R., Rani, P., Hezam, I. M., Cavallaro, F. (2022). Q-rung orthopair fuzzy FUCOM double normalization-based multi-aggregation method for healthcarewaste treatment method selection. Sustainability, 14, 1-28. https://doi.org/10.3390/su14074171
  • Salahodjaev, R., Mirziyoyeva, Z. (2021). The link between food security and life satisfaction: Panel DATA ANALYSIS. Sustainability, 13, 1-9. https://doi.org/10.3390/su13052918
  • Shakeel, A. (2018). Food security: Theorizing the evolution and involution of the concept. The Arab World Geographer/Le Géographe du monde arabe, 21(1), 58-82.
  • Simic, V., Miletic, S. D., Tirkolaee, E. B., Stević, Ž., Ala, A., Amirteimoori, A. (2023). Neutrosophic LOPCOW ARAS model for prioritizing industry 4.0 based material handling technologies in smart and sustainable warehouse management systems. Applied Soft Computing, 143, 1-10.
  • Timmer, P. C. (2005). Food security and economic growth: An Asian perspective. Asian Pasific Economic Literature, 19(1), 1-17.
  • Uludağ, A. S., & Doğan, H. (2021). Üretim yönetiminde çok kriterli karar verme yöntemleri. Ankara: Nobel Yayıncılık.
  • Ulutaş, A., & Topal, A. (2020). Bütünleştirilmiş çok kriterli karar verme yöntemlerinin üretim sektörü uygulamaları. Ankara: Akademisyen Kitapevi.
  • Widada, A. W., Masyhuri, M., & Mulyo, J. H. (2017). Determinant Factors of Food Security in Indonesia. Agro Ekonomi, 28(2), 205-218. https://doi.org/ 10.22146/jae.26245
  • Wu, X., Liao, H. (2019). Comparison Analysis between DNMA Method and Other MCDM Methods. ICSES Transaction on Neural and Fuzzy Computing, 2(1), 4-10.
  • Yalman, İ. N., Koşaroğlu, Ş. M., Işık, Ö. (2023). 2000-2020 döneminde Türkiye ekonomisinin makroekonomik performansının MEREC-LOPCOW-MARCOS modeliyle değerlendirilmesi. Finans Politik Ekonomik Yorumlar, 664, 57-86.
  • Zhang, H., Liao, H., Wu, X., Zavadskas, E. K., Al-Barakati, A. (2020). Internet financial investment product selection with pythagorean fuzzy DNMA method. Inzinerine Ekonomika-Engineering Economics, 31(1), 61–71.
  • Zhou, Z. Y. (2020). Global Food Security (What Matters?), New York: Routledge
Toplam 77 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Gıda Bilimleri (Diğer)
Bölüm Araştırma Makaleleri
Yazarlar

Furkan Fahri Altıntaş 0000-0002-0161-5862

Yayımlanma Tarihi 28 Mart 2025
Gönderilme Tarihi 25 Ağustos 2024
Kabul Tarihi 25 Ekim 2024
Yayımlandığı Sayı Yıl 2025 Cilt: 3 Sayı: 1

Kaynak Göster

APA Altıntaş, F. F. (2025). Analysis of Food Security Performances of G7 Countries: An Application with LOPCOW-based DNMA Method. ITU Journal of Food Science and Technology, 3(1), 27-42.