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Modeling Food Insecurity in Bivariate and Regression Analyses

Prepared by the Voices of the Hungry Team








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    The more widely used food security analysis methods mainly consider current access to food, failing to provide policy makers with forward-looking information. While drawing on household survey data, the vulnerability analysis model presented here provides estimates of the probability that a given household will lose or gain access to sufficient food in the near future.
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    This paper will explore the hypothesis that food manufacturers can deliver nutrition solutions to help eliminate global food and nutrition insecurity. The hypothesis will be tested by examining three interrelated aspects of the food and nutrition insecurity problem: (1) the statistics and grim consequences of hunger and malnutrition; (2) the obstacles that often present roadblocks for business to effectively utilize its range of expertise and capabilities to successfully market nutritious produc ts to needy people in developing countries; and (3) the lack of successful experiences by food companies in building new business models to deliver market-based nutrition solutions.

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