Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 443167
Title Assessment framework and operational definitions for long-term scenarios
Author(s) Laborde, D.; Tokgoz, S.; Shutes, L.J.; Valin, H.
Source The Hague : FOODSECURE (Working paper 14) - 43
Department(s) LEI INT BELEID - Internationale Handel & Markten
Publication type Scientific report
Publication year 2013
Keyword(s) voedselzekerheid - beleid inzake voedsel - kwantitatieve analyse - simulatiemodellen - oplossingen - strategisch management - food security - food policy - quantitative analysis - simulation models - solutions - strategic management
Categories Food Security / Strategic Policy
Abstract To navigate among the long term challenges for global and national food security, policy makers cannot only rely on qualitative analysis. They also need quantitative tools to measure and rank the different issues that they will face and the policy responses that can be designed. FOODSECURE proposes state-of-the art simulation models that will give both researchers and policy makers the capacity to study these issues in a comprehensive framework. This paper is aimed at providing an overview of the different modeling solutions proposed in the FOODSECURE toolbox and defines a strategy for using the different models in a consistent manner. First, the different models are briefly described and compared. Next, we see how these models tackle key food security indicators and drivers and translate different assumptions about the future within their framework. We then discuss the relative strengths and weaknesses of the different models to address different policy questions. Finally, we discuss how to combine these models and which optimal level of model integration should be used for analysis.
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