Agricultural Transformation in Senegal: Impacts of an integrated program

Abdoulaye Diagne Author-Name: Fran ois J. Cabral

Working Papers PMMA from PEP-PMMA

Abstract: 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 beneficiariesÕ 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.

Keywords: Agricultural Economics; Impact Evaluation; Agriculture policy; Inverse propensity Score Matching. (search for similar items in EconPapers)
JEL-codes: Q12 Q16 Q18 (search for similar items in EconPapers)
Date: 2017
New Economics Papers: this item is included in nep-agr and nep-dev
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Persistent link: https://EconPapers.repec.org/RePEc:lvl:pmmacr:2017-09

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