Networks under deep uncertainty concerning food security

Fuad Aleskerov, S. Dutta, D. Egorov and D. Tkachev
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S. Dutta: HSE University, Moscow, Russia
D. Egorov: HSE University, Moscow, Russia
D. Tkachev: HSE University, Moscow, Russia

Journal of the New Economic Association, 2024, vol. 64, issue 3, 12-29

Abstract: We propose new models to find the vulnerable countries in terms of food secu- rity. These models are based on network analysis under deep uncertainty. The conditions of deep uncertainty affect the supply and demand of food, namely, carbohydrates of the countries. Under such conditions networks of the carbohydrate supply between countries are constructed. The countries vulnerability in terms of food security were studied by new centrality indices taking into account carbohydrate consumptions of countries and the possibility of group influence of countries to a country. Also, our models show direct and indirect dependence on import of carbohydrates from other countries. The scenario of one of such situations was constructed, and our models for studying this situation were tested. The vulnerable countries are identified in terms of carbohydrate consumption from main crops in different scenarios based on real data using our new models. The developed models can make the food policy of countries more efficient.

Keywords: deep uncertainty; food insecurity; network analysis; scenario analysis's law (search for similar items in EconPapers)
JEL-codes: C65 D85 Q18 (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:nea:journl:y:2024:i:64:p:12-29

DOI: 10.31737/22212264_2024_3_12-29

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