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A new methodology for incorporating nutrition indicators in economy-wide scenario analyses

Author

Listed:
  • Martine Rutten
  • Andrzej Tabeau
  • Frans Godeschalk

Abstract

This paper develops an innovative approach for calculating household nutrition indicators in a Computable General Equilibrium framework, using the flow of primary agri-food commodities through the global economy from farm to fork. It has been incorporated as a nutrition module in MAGNET. The method of tracing nutrients through the food system allows for making agriculture, the food supply chain and the economy as a whole nutrition-sensitive in scenario analyses. The validation of the nutrition outcomes in the base year with global data on nutrient consumption from the FAO reveals important differences which stem from differences in data and assumptions. Various solutions are identified to improve the calculations in the future. In the short run, correction factors are applied in the calculation of indicators in the nutrition module to capture and adjust the methodology for the remaining differences.

Suggested Citation

  • Martine Rutten & Andrzej Tabeau & Frans Godeschalk, 2013. "A new methodology for incorporating nutrition indicators in economy-wide scenario analyses," FOODSECURE Technical papers 1, LEI Wageningen UR.
    • Handle: RePEc:fsc:fstech:1
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    File URL: http://www3.lei.wur.nl/FoodSecurePublications/T01_Rutten_Nutrition_Module_MAGNET.pdf
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    References listed on IDEAS

    as
    1. David Atkin, 2013. "Trade, Tastes, and Nutrition in India," American Economic Review, American Economic Association, vol. 103(5), pages 1629-1663, August.
    2. Pauw, Karl & Thurlow, James, 2011. "Agricultural growth, poverty, and nutrition in Tanzania," Food Policy, Elsevier, vol. 36(6), pages 795-804.
    3. Bhavani Shankar & C. S. Srinivasan & Xavier Irz, 2008. "World Health Organization Dietary Norms: A Quantitative Evaluation of Potential Consumption Impacts in the United States, United Kingdom, and France," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 30(1), pages 151-175.
    4. C. S. Srinivasan, 2007. "Food consumption impacts of adherence to dietary norms in the United States: a quantitative assessment," Agricultural Economics, International Association of Agricultural Economists, vol. 37(2‐3), pages 249-256, September.
    5. Rutten, Martine & Reed, Geoffrey, 2009. "A comparative analysis of some policy options to reduce rationing in the UK's NHS: Lessons from a general equilibrium model incorporating positive health effects," Journal of Health Economics, Elsevier, vol. 28(1), pages 221-233, January.
    6. Hertel, Thomas W. & Verma, Monika & Bouet, Antoine & Cranfield, John A.L. & Preckel, Paul V., 2007. "Global Nutrition Impacts of Rapid Economic Growth in China and India," 2007 Annual Meeting, July 29-August 1, 2007, Portland, Oregon 9841, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    7. Verma, Monika & Hertel, Thomas W., 2009. "Commodity price volatility and nutrition vulnerability:," IFPRI discussion papers 895, International Food Policy Research Institute (IFPRI).
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    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Chepeliev, Maksym, 2020. "Incorporating Nutritional Information to the GTAP 10 Data Base," Conference papers 330202, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    2. Brinkman, Marnix L.J. & Wicke, Birka & Faaij, André P.C. & van der Hilst, Floor, 2019. "Projecting socio-economic impacts of bioenergy: Current status and limitations of ex-ante quantification methods," Renewable and Sustainable Energy Reviews, Elsevier, vol. 115(C).
    3. George Philippidis & Robert M’barek & Emanuele Ferrari, 2016. "Drivers of the European Bioeconomy in Transition (BioEconomy2030): an exploratory, model-based assessment," JRC Research Reports JRC98160, Joint Research Centre.
    4. Lindsay Shutes & Marijke Kuiper, 2015. "Expanding the household coverage of global simulation models: an application to Ghana," FOODSECURE Technical papers 3, LEI Wageningen UR.
    5. Shutes, Lindsay & Verma, Monika & Kuiper, Marijke, 2016. "Changing Diets in a Changing World: The Impact of Urbanisation on Agriculture," Conference papers 332695, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.

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    More about this item

    JEL classification:

    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs
    • I14 - Health, Education, and Welfare - - Health - - - Health and Inequality

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