Partnership for Resilience and Economic Growth in Northern Kenya: PREG II Recurrent Monitoring Survey Results
This analysis examines whether borrowing counters high inflation.
This summary of findings documents the preliminary analyses of data from the first three rounds of the second cycle of the Partnership for Resilience and Economic Growth in North Kenya (PREG) Recurrent Monitoring Survey (RMS).
The objective of the RMS is to provide real-time data on household resilience capacity during the course of—or in the immediate aftermath of—an actual shock with the goals of understanding the nature of the shock, how households are coping with shocks, and the degree of their resilience to the effects of shocks.
Based on discussions of findings from earlier rounds, Resilience Evaluation, Analysis and Learning (REAL) Award looked closely at fodder programs. This analysis examines whether borrowing counters high inflation. The analyses have also benefited from reviewing PREG partners’ Joint Work Plans, and the PREG partners provided information about systems-level interventions. These led to hypotheses and tests of the role of transformative resilience capacities in building absorptive and adaptive capacities.
High-level findings include:
Even though hunger and food insecurity worsened overall across rounds, food and cash assistance were associated with a lower probability that a household experienced moderate to severe hunger. Changes were statistically significant but small.
Households that borrowed cash in early RMS rounds reported a higher Household Dietary Diversity Score and lower severity of food price shocks in later rounds compared to households that did not borrow. The effects were relatively large.
Owners of goats and/or sheep who used emergency feed and fodder programs had a smaller decline in those assets than households that did not use fodder/feed programs.
Households participating in one or more types of household-level resilience programming had higher absorptive and adaptive capacities compared to non-participant households.