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KÜRESEL GIDA GÜVENCESİ ENDEKSİ GÖSTERGELERİNİN KOVİD-19 SONRASI VERİLERLE DEĞERLENDİRİLMESİ VE ÇOK KRİTERLİ KARAR VERME TEKNİKLERİYLE ÜLKELERİN KARŞILAŞTIRILMASI

Yıl 2023, Cilt: 7 Sayı: 4, 1 - 32, 29.12.2023

Öz

Artan eşitsizlikler, siyasi istikrarsızlıklar ve zorunlu göçler, toplulukların genel beslenme durumu üzerinde önemli bir etkiye sahiptir. İklim değişikliğinin yarattığı zorluklar ve doğal kaynakların tükenmesi, Birleşmiş Milletler'in Sürdürülebilir Kalkınma Hedeflerine (BM Sürdürülebilir Kalkınma Hedefleri) 2030 yılına kadar ulaşılmasının önünde engel teşkil ediyor. Birleşmiş Milletler Gıda ve Tarım Örgütü (FAO) tarafından yürütülen bir araştırmaya göre, 2030 yılına kadar 35 ila 122 milyon kişinin sosyoekonomik statülerinde bir düşüş yaşayacağı ve bu durumun yoksulluğa yol açacağı öngörülüyor. Çalışma, iklimle ilgili zorluklar ve çatışmalar gıda güvenliğinin azalmasını tetiklediği görülmektedir. COVID-19 salgınının, sağlık ve sosyo-ekonomik sonuçlarının bir sonucu olarak en duyarlı bölgelerin gıda güvenliğini ve beslenme durumunu daha da kötüleştirmesi bekleniyor. Bu çalışmanın amacı, CRITIC temelli PROMETHEE yaklaşımını kullanarak Türkiye'nin de aralarında bulunduğu birçok ülkenin karşılaştırmalı koşullarını incelemektir. Analiz, Küresel Gıda Güvenliği Endeksi'nde yer alan 2022 COVİD-19 sonrası döneme ait veriler kullanılarak ve özellikle gıda güvenliğine odaklanılarak gerçekleştirildi. Bu çalışma, COVİD-19 pandemisi dönemi sonrasında ortaya çıkan gıda güvenliği konusuna dikkat çekerek mevcut literatüre katkı sağlamaktadır. Çok kriterli karar verme yaklaşımı veri analizi sıralamasına göre Finlandiya, İrlanda, Hollanda, Fransa ve Birleşik Krallık en iyi performans gösteren ülkeler olarak ortaya çıkıyor. Sıralamanın en alt sıralarında yer alan ülkeler arasında Endonezya, Tayland, Hindistan, Güney Afrika ve Vietnam yer alıyor.

Proje Numarası

SKD-2021-4403

Kaynakça

  • Behzadian, M., Kazemzadeh, R. B., Albadvi, A., & Aghdasi, M. (2010). PROMETHEE: A comprehensive literature review on methodologies and applications. European journal of operational research, 200(1), 198-215.
  • Brans, J.-P., & Vincke, P. (1985). Note—A Preference Ranking Organisation Method: (The PROMETHEE Method for Multiple Criteria Decision-Making). Management science, 31(6), 647-656.
  • Cafiero, C., Viviani, S., & Nord, M. (2018). Food security measurement in a global context: The food insecurity experience scale. Measurement, 116, 146-152.
  • Dağdeviren, M., & Erarslan, E. (2008). PROMETHEE siralama yöntemi ile tedarikçi seçimi. Gazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi, 23(1).
  • Desiere, S., D’Haese, M., & Niragira, S. (2015). Assessing the cross-sectional and inter-temporal validity of the Household Food Insecurity Access Scale (HFIAS) in Burundi. Public Health Nutrition, 18(15), 2775-2785.
  • Diakoulaki, D., Mavrotas, G., & Papayannakis, L. (1995). Determining objective weights in multiple criteria problems: The critic method. Computers & Operations Research, 22(7), 763-770.
  • Dutta, S., Lanvin, B., & Wunsch-Vincent, S. (2020). Global innovation index 2020: Johnson Cornell University.
  • Fan, S., Teng, P., Chew, P., Smith, G., & Copeland, L. (2021). Food system resilience and COVID-19–Lessons from the Asian experience. Global Food Security, 28, 100501.
  • Garibaldi, L. A., Gemmill-Herren, B., D’Annolfo, R., Graeub, B. E., Cunningham, S. A., & Breeze, T. D. (2017). Farming approaches for greater biodiversity, livelihoods, and food security. Trends in ecology & evolution, 32(1), 68-80.
  • GFSI. (2020). Global Food Safety Initiative.
  • GFSI. (2022). Global Food Safety Initiative.
  • Guenette, J. D., Kenworthy, P. G., & Wheeler, C. M. (2022). Implications of the War in Ukraine for the Global Economy.
  • Ishizaka, A., & Nemery, P. (2011). Selecting the best statistical distribution with PROMETHEE and GAIA. Computers & Industrial Engineering, 61(4), 958-969.
  • Kansiime, M. K., Tambo, J. A., Mugambi, M. I., Bundi, M. M., Kara, A., & Owuor, M. C. (2020). COVID-19 implications on household income and food security in Kenya and Uganda: Findings from a rapid assessment. World Development, 105199.
  • Kowalska, A., Budzyńska, A., & Białowąs, T. (2022). Food export restrictions during the COVID-19 pandemic: Real and potential effects on food security. International Journal of Management and Economics.
  • Lajoie-O'Malley, A., Bronson, K., van der Burg, S., & Klerkx, L. (2020). The future (s) of digital agriculture and sustainable food systems: An analysis of high-level policy documents. Ecosystem Services, 45, 101183.
  • Leroy, J. L., Ruel, M., Frongillo, E. A., Harris, J., & Ballard, T. J. (2015). Measuring the food access dimension of food security: a critical review and mapping of indicators. Food and nutrition bulletin, 36(2), 167-195.
  • Mareschal, B., & Brans, J.-P. (1988). Geometrical representations for MCDA. European journal of operational research, 34(1), 69-77.
  • Mareschal, B., Brans, J. P., & Vincke, P. (1984). PROMETHEE: A new family of outranking methods in multicriteria analysis: ULB--Universite Libre de Bruxelles.
  • Myant, M. (2020). The economic and social consequences of Covid-19. Social policy in the European Union: state of play, 53-70.
  • Organization, W. H. (2022). The state of food security and nutrition in the world 2022: Repurposing food and agricultural policies to make healthy diets more affordable (Vol. 2022): Food & Agriculture Org.
  • Özkaya, G., & Uçak Özkaya, G. (2022). Evaluation of Global Food Security Index Indicators with 2020 COVID19 Period Data and Country Comparisons. Bitlis Eren Üniversitesi Fen Bilimleri Dergisi, 11(1), 249-268.
  • Pachapur, P. K., Pachapur, V. L., Brar, S. K., Galvez, R., Le Bihan, Y., & Surampalli, R. Y. (2020). Food Security and Sustainability. Sustainability: Fundamentals and Applications, 357-374.
  • Pérez-Escamilla, R., Gubert, M. B., Rogers, B., & Hromi-Fiedler, A. (2017). Food security measurement and governance: Assessment of the usefulness of diverse food insecurity indicators for policy makers. Global Food Security, 14, 96-104.
  • Poudel, D., & Gopinath, M. (2021). Exploring the disparity in global food security indicators. Global Food Security, 29, 100549.
  • Poulsen, M. N., McNab, P. R., Clayton, M. L., & Neff, R. A. (2015). A systematic review of urban agriculture and food security impacts in low-income countries. Food policy, 55, 131-146.
  • Rother, M. B., Sosa, M. S., Kim, M. D., Kohler, L., Kohler, M. L. P., Pierre, M. G., . . . Sharifzoda, K. (2022). Tackling the Global Food Crisis: Impact, Policy Response, and the Role of the IMF: International Monetary Fund.
  • Savary, S., Akter, S., Almekinders, C., Harris, J., Korsten, L., Rötter, R., . . . Watson, D. (2020). Mapping disruption and resilience mechanisms in food systems. Food Security, 12, 695-717.
  • Scheffran, J. (2020). 2 Climate change and weather extremes as risk multipliers. Climate Change, Security Risks, and Violent Conflicts, 19.
  • Singh, S., Kumar, R., Panchal, R., & Tiwari, M. K. (2021). Impact of COVID-19 on logistics systems and disruptions in food supply chain. International journal of production research, 59(7), 1993-2008.
  • Smith, M. D., Kassa, W., & Winters, P. (2017). Assessing food insecurity in Latin America and the Caribbean using FAO’s food insecurity experience scale. Food policy, 71, 48-61.
  • Smith, M. D., Rabbitt, M. P., & Coleman-Jensen, A. (2017). Who are the world’s food insecure? New evidence from the Food and Agriculture Organization’s food insecurity experience scale. World Development, 93, 402-412.
  • Sodano, V. (2019). Innovation trajectories and sustainability in the food system. Sustainability, 11(5), 1271.
  • Sułkowski, Ł. (2020). Covid-19 pandemic; recession, virtual revolution leading to de-globalization? Journal of Intercultural Management, 12(1), 1-11.
  • Tolga, G. (2013). PROMETHEE yöntemi ve GAIA düzlemi. Afyon Kocatepe Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 15(1), 133-154.
  • Trends, G. (2017). Challenges and opportunities in the implementation of the Sustainable Development Goals. United Nations Development Programme& United Nations Research Institute for Social Development. Wang, C.-N., Dang, T.-T., Tibo, H., & Duong, D.-H. (2021). Assessing renewable energy production capabilities using DEA window and fuzzy TOPSIS model. Symmetry, 13(2), 334.

AN ASSESSMENT OF INDICATORS OF THE GLOBAL FOOD SECURITY INDEX UTILIZING POST-COVID-19 DATA AND COMPARING COUNTRIES USING MULTI-CRITERIA DECISION MAKING TECHNIQUES

Yıl 2023, Cilt: 7 Sayı: 4, 1 - 32, 29.12.2023

Öz

The presence of growing disparities, political volatility, and compelled movements of people exert a substantial influence on the collective nutritional well-being of communities. The challenges posed by climate change and the depletion of natural resources present obstacles to achieving the United Nations' Sustainable Development Goals (UN SDGs) by 2030. Based on a study conducted by the United Nations Food and Agriculture Organization (FAO), it is projected that a range of 35 to 122 million individuals will experience a decline in their socioeconomic status, leading to poverty, by the year 2030. The study indicates that climate-related challenges and conflicts will contribute to a reduction in food security. The COVID-19 pandemic is anticipated to exacerbate the food security and nutritional status of the most susceptible areas as a result of its health and socio-economic consequences. The objective of this study is to examine the comparative conditions of several nations, including Turkey, using the CRITIC-based PROMETHEE approach. The analysis was conducted using data from the 2022 post-COVID-19 period in Global Food Security Index, with a specific focus on food security. This study contributes to the existing literature by highlighting the emerging issue of food security after the COVID-19 pandemic period. Based on the multi-criteria decision-making approach data analysis rankings, Finland, Ireland, the Netherlands, France, and the United Kingdom emerge as the top-performing nations. The countries situated in the lowest spots of the ranking encompass Indonesia, Thailand, India, South Africa, and Vietnam.

Destekleyen Kurum

Yıldız Teknik Üniversitesi, Bilimsel Araştırma Projeler Birimi

Proje Numarası

SKD-2021-4403

Kaynakça

  • Behzadian, M., Kazemzadeh, R. B., Albadvi, A., & Aghdasi, M. (2010). PROMETHEE: A comprehensive literature review on methodologies and applications. European journal of operational research, 200(1), 198-215.
  • Brans, J.-P., & Vincke, P. (1985). Note—A Preference Ranking Organisation Method: (The PROMETHEE Method for Multiple Criteria Decision-Making). Management science, 31(6), 647-656.
  • Cafiero, C., Viviani, S., & Nord, M. (2018). Food security measurement in a global context: The food insecurity experience scale. Measurement, 116, 146-152.
  • Dağdeviren, M., & Erarslan, E. (2008). PROMETHEE siralama yöntemi ile tedarikçi seçimi. Gazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi, 23(1).
  • Desiere, S., D’Haese, M., & Niragira, S. (2015). Assessing the cross-sectional and inter-temporal validity of the Household Food Insecurity Access Scale (HFIAS) in Burundi. Public Health Nutrition, 18(15), 2775-2785.
  • Diakoulaki, D., Mavrotas, G., & Papayannakis, L. (1995). Determining objective weights in multiple criteria problems: The critic method. Computers & Operations Research, 22(7), 763-770.
  • Dutta, S., Lanvin, B., & Wunsch-Vincent, S. (2020). Global innovation index 2020: Johnson Cornell University.
  • Fan, S., Teng, P., Chew, P., Smith, G., & Copeland, L. (2021). Food system resilience and COVID-19–Lessons from the Asian experience. Global Food Security, 28, 100501.
  • Garibaldi, L. A., Gemmill-Herren, B., D’Annolfo, R., Graeub, B. E., Cunningham, S. A., & Breeze, T. D. (2017). Farming approaches for greater biodiversity, livelihoods, and food security. Trends in ecology & evolution, 32(1), 68-80.
  • GFSI. (2020). Global Food Safety Initiative.
  • GFSI. (2022). Global Food Safety Initiative.
  • Guenette, J. D., Kenworthy, P. G., & Wheeler, C. M. (2022). Implications of the War in Ukraine for the Global Economy.
  • Ishizaka, A., & Nemery, P. (2011). Selecting the best statistical distribution with PROMETHEE and GAIA. Computers & Industrial Engineering, 61(4), 958-969.
  • Kansiime, M. K., Tambo, J. A., Mugambi, M. I., Bundi, M. M., Kara, A., & Owuor, M. C. (2020). COVID-19 implications on household income and food security in Kenya and Uganda: Findings from a rapid assessment. World Development, 105199.
  • Kowalska, A., Budzyńska, A., & Białowąs, T. (2022). Food export restrictions during the COVID-19 pandemic: Real and potential effects on food security. International Journal of Management and Economics.
  • Lajoie-O'Malley, A., Bronson, K., van der Burg, S., & Klerkx, L. (2020). The future (s) of digital agriculture and sustainable food systems: An analysis of high-level policy documents. Ecosystem Services, 45, 101183.
  • Leroy, J. L., Ruel, M., Frongillo, E. A., Harris, J., & Ballard, T. J. (2015). Measuring the food access dimension of food security: a critical review and mapping of indicators. Food and nutrition bulletin, 36(2), 167-195.
  • Mareschal, B., & Brans, J.-P. (1988). Geometrical representations for MCDA. European journal of operational research, 34(1), 69-77.
  • Mareschal, B., Brans, J. P., & Vincke, P. (1984). PROMETHEE: A new family of outranking methods in multicriteria analysis: ULB--Universite Libre de Bruxelles.
  • Myant, M. (2020). The economic and social consequences of Covid-19. Social policy in the European Union: state of play, 53-70.
  • Organization, W. H. (2022). The state of food security and nutrition in the world 2022: Repurposing food and agricultural policies to make healthy diets more affordable (Vol. 2022): Food & Agriculture Org.
  • Özkaya, G., & Uçak Özkaya, G. (2022). Evaluation of Global Food Security Index Indicators with 2020 COVID19 Period Data and Country Comparisons. Bitlis Eren Üniversitesi Fen Bilimleri Dergisi, 11(1), 249-268.
  • Pachapur, P. K., Pachapur, V. L., Brar, S. K., Galvez, R., Le Bihan, Y., & Surampalli, R. Y. (2020). Food Security and Sustainability. Sustainability: Fundamentals and Applications, 357-374.
  • Pérez-Escamilla, R., Gubert, M. B., Rogers, B., & Hromi-Fiedler, A. (2017). Food security measurement and governance: Assessment of the usefulness of diverse food insecurity indicators for policy makers. Global Food Security, 14, 96-104.
  • Poudel, D., & Gopinath, M. (2021). Exploring the disparity in global food security indicators. Global Food Security, 29, 100549.
  • Poulsen, M. N., McNab, P. R., Clayton, M. L., & Neff, R. A. (2015). A systematic review of urban agriculture and food security impacts in low-income countries. Food policy, 55, 131-146.
  • Rother, M. B., Sosa, M. S., Kim, M. D., Kohler, L., Kohler, M. L. P., Pierre, M. G., . . . Sharifzoda, K. (2022). Tackling the Global Food Crisis: Impact, Policy Response, and the Role of the IMF: International Monetary Fund.
  • Savary, S., Akter, S., Almekinders, C., Harris, J., Korsten, L., Rötter, R., . . . Watson, D. (2020). Mapping disruption and resilience mechanisms in food systems. Food Security, 12, 695-717.
  • Scheffran, J. (2020). 2 Climate change and weather extremes as risk multipliers. Climate Change, Security Risks, and Violent Conflicts, 19.
  • Singh, S., Kumar, R., Panchal, R., & Tiwari, M. K. (2021). Impact of COVID-19 on logistics systems and disruptions in food supply chain. International journal of production research, 59(7), 1993-2008.
  • Smith, M. D., Kassa, W., & Winters, P. (2017). Assessing food insecurity in Latin America and the Caribbean using FAO’s food insecurity experience scale. Food policy, 71, 48-61.
  • Smith, M. D., Rabbitt, M. P., & Coleman-Jensen, A. (2017). Who are the world’s food insecure? New evidence from the Food and Agriculture Organization’s food insecurity experience scale. World Development, 93, 402-412.
  • Sodano, V. (2019). Innovation trajectories and sustainability in the food system. Sustainability, 11(5), 1271.
  • Sułkowski, Ł. (2020). Covid-19 pandemic; recession, virtual revolution leading to de-globalization? Journal of Intercultural Management, 12(1), 1-11.
  • Tolga, G. (2013). PROMETHEE yöntemi ve GAIA düzlemi. Afyon Kocatepe Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 15(1), 133-154.
  • Trends, G. (2017). Challenges and opportunities in the implementation of the Sustainable Development Goals. United Nations Development Programme& United Nations Research Institute for Social Development. Wang, C.-N., Dang, T.-T., Tibo, H., & Duong, D.-H. (2021). Assessing renewable energy production capabilities using DEA window and fuzzy TOPSIS model. Symmetry, 13(2), 334.
Toplam 36 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Uluslararası İktisadi Kuruluşlar, Uluslararası İktisatta Bölgesel Gelişme ve Küreselleşme
Bölüm TOBİDER - International Journal of Social Sciences Volume 7 Issue 4
Yazarlar

Gökhan Özkaya 0000-0002-2267-6568

Gülsüm Uçak Özkaya 0000-0002-4207-6797

Proje Numarası SKD-2021-4403
Erken Görünüm Tarihi 24 Aralık 2023
Yayımlanma Tarihi 29 Aralık 2023
Gönderilme Tarihi 30 Ekim 2023
Kabul Tarihi 17 Kasım 2023
Yayımlandığı Sayı Yıl 2023 Cilt: 7 Sayı: 4

Kaynak Göster

APA Özkaya, G., & Uçak Özkaya, G. (2023). AN ASSESSMENT OF INDICATORS OF THE GLOBAL FOOD SECURITY INDEX UTILIZING POST-COVID-19 DATA AND COMPARING COUNTRIES USING MULTI-CRITERIA DECISION MAKING TECHNIQUES. Uluslararası Toplumsal Bilimler Dergisi, 7(4), 1-32.