Promoting Inclusive Markets and Financial Systems
Using Regression Analysis to Measure Sustainability: A Practical Tool for Evidence-Based Learning
Methods for measuring and monitoring systemic change in the agriculture sector have drawn increased attention in recent years. Good practice dictates that continual data analysis be integrated into management systems to enable evidence-based, adaptive learning. Yet in this data-driven age, practical methods for quantifying local actor investment and performance remain surprisingly underutilized by agricultural development project implementers.
Understanding the sustainability of project impact requires we measure both “buy-in indicators”, focusing on local actor investment in a project model, and “imitation indicators”, focusing on replication from non-project actors. Fintrac has learned over the past 25 years that the initial success experienced by early adopters – local actors who are first to risk their scarce resources – establishes momentum for continued buy-in and is a prerequisite for broader replication.