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Global food security and food riots – an agent-based modelling approach

Author

Listed:
  • Davide Natalini

    (Anglia Ruskin University)

  • Giangiacomo Bravo

    (Linnaeus University
    Linnaeus University Center for Data Intensive Sciences & Applications (DISA@LNU))

  • Aled Wynne Jones

    (Anglia Ruskin University)

Abstract

Due to negative consequences of climate change for agriculture and food production shocks affecting different areas of the world, the past two decades saw the conditions of global food security increasingly worsen. This has resulted in negative consequences for the world economy, partly causing international food price spikes and social upheavals. In this paper we present statistical findings along with a preliminary version of an original agent-based model called the Dawe Global Security Model that simulates the global food market and the political fragility of countries. The model simulates the effects of food insecurity on international food prices and how these, coupled with national political fragility and international food trade can, in turn, increase the probability of food riots in countries. The agents in the model are the 213 countries of the world whose characteristics reflect empirical data and the international trade of food is also simulated based on real trade partnerships and data. The model has been informed, calibrated and validated using real data and the results of these procedures are presented in the paper. To further test the model we also present the model’s forecasts for the near future in terms of food prices and incidence of food riots. The Dawe Global Security Model can be used to test scenarios on the evolution of shocks to global food production and analyse consequences for food riots. Further developments of the model can include national responses to food crises to investigate how countries can influence the spread of global food crises.

Suggested Citation

  • Davide Natalini & Giangiacomo Bravo & Aled Wynne Jones, 2019. "Global food security and food riots – an agent-based modelling approach," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 11(5), pages 1153-1173, October.
  • Handle: RePEc:spr:ssefpa:v:11:y:2019:i:5:d:10.1007_s12571-017-0693-z
    DOI: 10.1007/s12571-017-0693-z
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    1. Aled W. Jones & Alexander Phillips, 2016. "Historic Food Production Shocks: Quantifying the Extremes," Sustainability, MDPI, vol. 8(5), pages 1-10, April.
    2. Headey, Derek & Fan, Shenggen, 2010. "Reflections on the global food crisis: How did it happen? How has it hurt? And how can we prevent the next one?," Research reports 165, International Food Policy Research Institute (IFPRI).
    3. Rabah Arezki & Markus Brückner, 2011. "Food prices and political instability," NCID Working Papers 01/2011, Navarra Center for International Development, University of Navarra.
    4. Grubinger, Thomas & Zeileis, Achim & Pfeiffer, Karl-Peter, 2014. "evtree: Evolutionary Learning of Globally Optimal Classification and Regression Trees in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 61(i01).
    5. Maxwell, Daniel & Webb, Patrick & Coates, Jennifer & Wirth, James, 2010. "Fit for purpose? Rethinking food security responses in protracted humanitarian crises," Food Policy, Elsevier, vol. 35(2), pages 91-97, April.
    6. Nigel Gilbert & Pietro Terna, 2000. "How to build and use agent-based models in social science," Mind & Society: Cognitive Studies in Economics and Social Sciences, Springer;Fondazione Rosselli, vol. 1(1), pages 57-72, March.
    7. Coble, Keith H. & Heifner, Richard G. & Zuniga, Manuel, 2000. "Implications Of Crop Yield And Revenue Insurance For Producer Hedging," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 25(2), pages 1-21, December.
    8. Huang, Hsin & von Lampe, Martin & van Tongeren, Frank, 2011. "Climate change and trade in agriculture," Food Policy, Elsevier, vol. 36(S1), pages 9-13.
    9. Berger, Thomas, 2001. "Agent-based spatial models applied to agriculture: a simulation tool for technology diffusion, resource use changes and policy analysis," Agricultural Economics, Blackwell, vol. 25(2-3), pages 245-260, September.
    10. Tatiana Filatova & Dawn C. Parker & Anne van der Veen, 2009. "Agent-Based Urban Land Markets: Agent's Pricing Behavior, Land Prices and Urban Land Use Change," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 12(1), pages 1-3.
    11. Amy Purvis & William G. Boggess & Charles B. Moss & John Holt, 1995. "Technology Adoption Decisions under Irreversibility and Uncertainty: An Ex Ante Appproach," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 77(3), pages 541-551.
    12. Alvaro Calzadilla & Katrin Rehdanz & Richard S.J. Tol, 2011. "Water scarcity and the impact of improved irrigation management: a computable general equilibrium analysis," Agricultural Economics, International Association of Agricultural Economists, vol. 42(3), pages 305-323, May.
    13. Kym Anderson, 2010. "Globalisation's Effects on World Agricultural Trade, 1960 to 2050," Centre for International Economic Studies Working Papers 2010-11, University of Adelaide, Centre for International Economic Studies.
    14. Davide Natalini & Aled Wynne Jones & Giangiacomo Bravo, 2015. "Quantitative Assessment of Political Fragility Indices and Food Prices as Indicators of Food Riots in Countries," Sustainability, MDPI, vol. 7(4), pages 1-26, April.
    15. Adam Arsenault & James Nolan & Richard Schoney & Donald Gilchrist, 2012. "Outstanding in the Field: Evaluating Auction Markets for Farmland Using Multi-Agent Simulation," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 15(1), pages 1-11.
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    Cited by:

    1. Natalini, Davide & Bravo, Giangiacomo & Newman, Edward, 2020. "Fuel riots: definition, evidence and policy implications for a new type of energy-related conflict," Energy Policy, Elsevier, vol. 147(C).
    2. Aled Jones & Sarah Bridle & Katherine Denby & Riaz Bhunnoo & Daniel Morton & Lucy Stanbrough & Barnaby Coupe & Vanessa Pilley & Tim Benton & Pete Falloon & Tom K. Matthews & Saher Hasnain & John S. He, 2023. "Scoping Potential Routes to UK Civil Unrest via the Food System: Results of a Structured Expert Elicitation," Sustainability, MDPI, vol. 15(20), pages 1-21, October.
    3. Yousef, Sahar, 2020. "Can Trade Liberalization in Agricultural Products Mitigate the Effect of Climate Change on Civil Strife?," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304609, Agricultural and Applied Economics Association.

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