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Innovation Growth Modeling to Predict Adoption of Climate Resilient Maize Varieties

One key objective of this GCFSI center-led activity is to help predict how quickly climate resilient maize varieties will move from early adoption by a few producers to widespread adoption by many producers.


Project Lead: Eric Crawford

The objective of this activity, initiated in Year 3 of GCFSI, is two-fold. The first is to help predict how quickly climate resilient maize varieties will move from early adoption by a few producers to widespread adoption by many producers. GCFSI intends to commission a case study for Zambia using the innovation growth model, a commonly used business analysis framework that predicts the time path of adoption and eventual market share for new products. Gender-related differences in adoption will be examined. The second, a related activity, implemented by a GCFSI faculty member and graduate student, involves developing cost and returns budgets for maize, for use as a baseline in cost-benefit analysis of CRM varieties, starting first with data from Zambia.