A fuzzy cognitive map approach to understand agricultural system and food prices in Türkiye

Policy recommendations for national food security

Bibliographic Data

ID21652058
AuthorsAhmet Ekici (0000-0002-5249-1329, Department of Management Bilkent University Ankara Turkey, corresponding author), Şule Önsel Ekici (0000-0003-3694-2756, Department of Industrial Engineering Istanbul University‐Cerrahpasa Istanbul Turkey), Işık Özge Yumurtacı Hüseyinoğlu (0000-0001-6335-6926, Department of Logistics Management Izmir Economy University Izmir Turkey), Forrest Watson (0000-0002-8820-1434, Department of International Business and Management Dickinson College Carlisle Pennsylvania USA)
Year2024
Volume41
Issue3
Pages471-495
Publication date2024-05-01
Open AccessYes
TypeARTICLE
VenueSystems Research and Behavioral Science (JOURNAL)
Journal identifiersISSN: 1092-7026 • E-ISSN: 1099-1743
PublisherWiley (PUBLISHER • GB)
DOI10.1002/sres.2989
OpenAlexW4388724599
LanguageEN
References cited35

Once one of the few self‐sufficient food countries in the world, Turkey has become dependent on imports to feed its population. Food prices have climbed to among the highest in the world, severely threatening the food security of the country. Most researchers generally attributed the high prices to the increased input costs of agriculture. Although the role of input prices cannot be denied, this paper focuses on a neglected problem that can account for food price inflation: the attitudes and behaviours of farming communities towards agriculture. Through fuzzy cognitive map methodology, known to be very effective in understanding complex networks of problems, we identify and map the relationships among the factors affecting the agriculture system, develop interview and literature‐driven scenarios, and test these scenarios to demonstrate their role in explaining the relationship between attitudes and behaviours of farming communities and food prices in Turkey. Our findings provide recommendations to policymakers

Agriculture · Business · Cognition · Economics · Food prices · Food security · Food systems · Fuzzy cognitive map · Fuzzy control system · Fuzzy logic · Geography · Neuro-fuzzy · Population · Public economics · Sociology · Cognitive Science and Mapping · Computer Science · Multi-Criteria Decision Making · Psychology

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