@article{Sands:333467,
      recid = {333467},
      author = {Sands, Ronald and Beach, Robert},
      title = {Nutrition Indicators for CGE Models},
      address = {2022},
      pages = {18},
      year = {2022},
      note = {Presented at the 25th Annual Conference on Global Economic  Analysis (Virtual Conference)},
      abstract = {Computable general equilibrium (CGE) models have proven  useful for simulating future economic activity and  environmental indicators, especially in response to global  drivers such as population, income, technology, and dietary  preference. The focus of this paper is to show how output  from CGE models can also be converted to nutritional  indicators such as calories, carbohydrates, protein, fats,  and micro-nutrients. This paper covers post-simulation  analysis of food demand, rather than how to specify food  demand within a general equilibrium model. There are strong  links between the specification of food demand in a model,  and how that is calibrated, to the realism possible for  reporting calories and other nutritional indicators. It  turns out that modification to the underlying social  accounting matrix (SAM) can improve the realism of  projections of food demand, by increasing the consistency  between monetary units in the SAM and physical units  (metric tons) in food balance sheets such as those  published by the Food and Agricultural Organization (FAO)  of the United Nations. If model output by food commodity  can be expressed by weight (e.g., consumption in terms of  grams per person per day), then food conversion tables can  be applied to obtain a comprehensive list of nutrient  consumption, including macro- and micro-nutrients. This  information can be summarized in a variety of nutritional  indicators. We cover two key steps: (1) pre-processing of  the SAM and food balance sheets; and (2) post-processing of  CGE model output.},
      url = {http://ageconsearch.umn.edu/record/333467},
}