Design of an Empirical Agent-Based Model to Explore Rural Household Food Security Within a Developing Country Context

Food security is an unresolved issue, especially so among developing countries. Models of food security usually focus on the farming components (availability) and neglect to fully incorporate its multi-dimensional nature: including access, utilization and stability (of food). This article proposes the design of an empirical agent-based model representing Malawian smallholders, which operationalizes the FAO framework on food security at the household level. While the general structure can be customized and replicated for other contexts, the agents’ characterization is based on national survey data. Preliminary results suggest that non-agricultural workers are more food secure. However important feedbacks with the natural (ecosystem services) and the economic system (local/international market) are foreseen but not fully implemented.

[1]  D. Foley,et al.  The economy needs agent-based modelling , 2009, Nature.

[2]  P. D. Muro,et al.  From food availability to nutritional capabilities: Advancing food security analysis , 2016 .

[3]  Duncan J. Watts,et al.  Collective dynamics of ‘small-world’ networks , 1998, Nature.

[4]  Amartya Sen Development: Which Way Now? , 1983 .

[5]  Christophe Le Page,et al.  Participatory Agent-Based Simulation for Renewable Resource Management: The Role of the Cormas Simulation Platform to Nurture a Community of Practice , 2012, J. Artif. Soc. Soc. Simul..

[6]  Birgit Müller,et al.  A standard protocol for describing individual-based and agent-based models , 2006 .

[7]  Patrick Taillandier,et al.  Standardised and transparent model descriptions for agent-based models: Current status and prospects , 2014, Environ. Model. Softw..

[8]  J. Verbeek Global monitoring report 2013 : rural-urban dynamics and the millennium development goals , 2013 .

[9]  John Ingram,et al.  A vision for attaining food security , 2012 .

[10]  Frédérick Garcia,et al.  Models to support cropping plan and crop rotation decisions. A review , 2011, Agronomy for Sustainable Development.

[11]  Amartya Sen,et al.  Hunger and Public Action. , 1991 .

[12]  David Parsons,et al.  Farm household models to analyse food security in a changing climate: a review , 2014 .

[13]  L. Smith,et al.  Measuring food security using household expenditure surveys , 2007 .

[14]  Charles M. Macal,et al.  Lessons from a comprehensive validation of an agent based-model: The experience of the Pampas Model of Argentinean agricultural systems , 2014 .

[15]  P. Barlett,et al.  Agricultural decision making. Anthropological contributions to rural development. , 1982 .

[16]  Gerd Gigerenzer,et al.  The recognition heuristic: A decade of research , 2011, Judgment and Decision Making.

[17]  Annie Waldherr,et al.  Communicating Social Simulation Models to Sceptical Minds , 2013, J. Artif. Soc. Soc. Simul..

[18]  Stefano Balbi,et al.  Agent-Based Modelling of Socio-Ecosystems: A Methodology for the Analysis of Adaptation to Climate Change , 2010, Int. J. Agent Technol. Syst..

[19]  Gerd Gigerenzer,et al.  Heuristic decision making. , 2011, Annual review of psychology.

[20]  Li An,et al.  Modeling human decisions in coupled human and natural systems: Review of agent-based models , 2012 .

[21]  Scott Moss,et al.  Alternative Approaches to the Empirical Validation of Agent-Based Models , 2007, J. Artif. Soc. Soc. Simul..

[22]  William Rand,et al.  Agent-Based Modeling in Marketing: Guidelines for Rigor , 2011 .