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With research staff from more than 60 countries, and offices across the globe, IFPRI provides research-based policy solutions to sustainably reduce poverty and end hunger and malnutrition in developing countries.

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Samuel Benin

Samuel Benin is the Acting Director for Africa in the Development Strategies and Governance Unit. He conducts research on national strategies and public investment for accelerating food systems transformation in Africa and provides analytical support to the African Union’s CAADP Biennial Review.

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Where we work

IFPRI currently has more than 600 employees working in over 80 countries with a wide range of local, national, and international partners.

Why should we make staple foods more nutritious?

Open Access | CC-BY-4.0

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The following post by HarvestPlus director Howarth Bouis is part of an ongoing series of blog stories celebrating IFPRI’s 40th anniversary. Each story authored by current and former IFPRI research staff highlights a key research topic through the years from the personal perspective of the researcher.

When I first joined IFPRI in 1982 as a post-doctoral fellow in the Food Consumption and Nutrition Division, energy (calorie) intakes were regarded as the key indicator for improvements in human nutrition.  Back then, the conventional wisdom was that energy intakes improved rapidly with relatively small increases in income.  The poor were hungry and, as their incomes increased, they bought greater amounts of food staples to satiate this hunger. I totally bought into this popular line of thinking at the time.

In 1984-85, Lawrence Haddad and I undertook surveys in Bukidnon in the southern Philippines, the results of which convinced us that such thinking was misguided. For the same 450 households, we collected data on food consumption/intake in two different ways: asking about food expenditures, which was the methodology typically used by economists; and a 24-hour recall on food intakes, which was a methodology used by nutritionists. Much to our surprise and initial dismay, the two methodologies presented completely different dietary patterns as household incomes increased. The food expenditure data set mirrored the conventional wisdom, while the food intake data set (collected originally primarily to look at intra-household food distribution) showed a constant food staple intake, as shown in the table below (Bouis 1994, Table 6):

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