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Assessment framework and operational definitions for long-term scenarios

Author

Listed:
  • David Laborde
  • Simla Tokgoz
  • Lindsay Shutes
  • Hugo Valin

Abstract

To navigate among the long-term challenges for global and national food security, policy makers cannot rely on qualitative analysis only. 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.

Suggested Citation

  • David Laborde & Simla Tokgoz & Lindsay Shutes & Hugo Valin, 2013. "Assessment framework and operational definitions for long-term scenarios," FOODSECURE Working papers 14, LEI Wageningen UR.
    • Handle: RePEc:fsc:fspubl:14
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    File URL: http://www3.lei.wur.nl/FoodSecurePublications/14_Laborde_AssessmentFrameworkLongTermScenarios.pdf
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    References listed on IDEAS

    as
    1. Seale, James L., Jr. & Regmi, Anita & Bernstein, Jason, 2003. "International Evidence On Food Consumption Patterns," Technical Bulletins 33580, United States Department of Agriculture, Economic Research Service.
    2. David Laborde & Simla Tokgoz & Maximo Torero, 2013. "Long-Term Drivers of Food and Nutrition Security," FOODSECURE Working papers 6, LEI Wageningen UR.
    3. Nelson, Gerald C. & Rosegrant, Mark W. & Palazzo, Amanda & Gray, Ian & Ingersoll, Christina & Robertson, Richard & Tokgoz, Simla & Zhu, Tingju & Sulser, Timothy B. & Ringler, Claudia & Msangi, Siwa & , 2010. "Food security, farming, and climate change to 2050: Scenarios, results, policy options," Research reports Gerald C. Nelson, et al., International Food Policy Research Institute (IFPRI).
    4. Sherman Robinson & Hans Meijl & Dirk Willenbockel & Hugo Valin & Shinichiro Fujimori & Toshihiko Masui & Ron Sands & Marshall Wise & Katherine Calvin & Petr Havlik & Daniel Mason d'Croz & Andrzej Tabe, 2014. "Comparing supply-side specifications in models of global agriculture and the food system," Agricultural Economics, International Association of Agricultural Economists, vol. 45(1), pages 21-35, January.
    5. Burniaux, Jean-Marc & Truong Truong, 2002. "GTAP-E: An Energy-Environmental Version of the GTAP Model," GTAP Technical Papers 923, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University.
    6. Burniaux, Jean-March & Truong, Truong P., 2002. "Gtap-E: An Energy-Environmental Version Of The Gtap Model," Technical Papers 28705, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    7. Muhammad, Andrew & Meade, Birgit Gisela Saager, 2011. "International Evidence on Food Consumption Patterns: An Update Using 2005 International Comparison Program Data," Technical Bulletins 120252, United States Department of Agriculture, Economic Research Service.
    8. Seale, James L., Jr. & Regmi, Anita & Bernstein, Jason, 2003. "International Evidence On Food Consumption Patterns," Technical Bulletins 33580, United States Department of Agriculture, Economic Research Service.
    9. Martin Lampe & Dirk Willenbockel & Helal Ahammad & Elodie Blanc & Yongxia Cai & Katherine Calvin & Shinichiro Fujimori & Tomoko Hasegawa & Petr Havlik & Edwina Heyhoe & Page Kyle & Hermann Lotze-Campe, 2014. "Why do global long-term scenarios for agriculture differ? An overview of the AgMIP Global Economic Model Intercomparison," Agricultural Economics, International Association of Agricultural Economists, vol. 45(1), pages 3-20, January.
    10. Hugo Valin & Ronald D. Sands & Dominique van der Mensbrugghe & Gerald C. Nelson & Helal Ahammad & Elodie Blanc & Benjamin Bodirsky & Shinichiro Fujimori & Tomoko Hasegawa & Petr Havlik & Edwina Heyhoe, 2014. "The future of food demand: understanding differences in global economic models," Agricultural Economics, International Association of Agricultural Economists, vol. 45(1), pages 51-67, January.
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    More about this item

    JEL classification:

    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • Q18 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Policy; Food Policy; Animal Welfare Policy

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