A systematic review of the impact of food security governance measures as simulated in modelling studies

A.S. Teeuwen*, Markus Meyer, Yue Dou, A.D. Nelson

*Corresponding author for this work

Research output: Contribution to journalReview articleAcademicpeer-review

9 Citations (Scopus)
43 Downloads (Pure)

Abstract

To effectively address food security, we need tools that assess governance measures (for example, strategic storage reserves, cash transfers or trade regulations) ex ante. Simulation models can estimate the impact of such measures via scenarios with differently governed food systems. On the basis of a systematic review of 110 simulation studies published over 2000–2021, we examined how food security governance has been represented, and identified needs for future simulation model development. We found that studies commonly used agent-based, system dynamics, and computable general equilibrium models; tended to be production, trade or consumption centric; assessed the impact of a wide variety of mostly treasure- or authority-based measures; and applied diverse food security indicators, mostly of access or availability. We also identified blind spots (for example, simulation of nodal measures) and proposed how to address these blind spots (for example, telecoupling) and to make food security governance simulation studies fit for meta-analyses (for example, harmonizing food security indicators for comparison).

Original languageEnglish
Pages (from-to)619-630
Number of pages12
JournalNature Food
Volume3
Issue number8
DOIs
Publication statusPublished - 15 Aug 2022

Keywords

  • Food security
  • Food systems
  • Agriculture
  • Governance
  • Modelling
  • 22/3 OA procedure
  • ITC-ISI-JOURNAL-ARTICLE
  • ITC-HYBRID

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