This paper evaluates the impact of an agriculture transformation program on poverty, migration,
food security and agricultural revenue. We used Inverse Propensity Score Matching (IPSM)
techniques, to correct the selection bias arising from the non-randomness of the allocation of
farmers to the treatment. The results find that ANIDA farms are better equipped with irrigation
technologies, and so, appear more resilient to climatic events such as droughts. They spent $2,905
USD per hectare on inputs and produced 10,526 kg per worker more than traditional farmers. The
intention to migrate, the depth and severity of poverty are significantly below those of
beneficiaries’ households. The ANIDA program is a model that should be promoted in all
municipalities of the country, in order to modernize the agricultural sector. The analysis is limited by
the fact that the non-compliance rate of the program is high and needs more investigation to
better understand the underlying factors.
