Journal
ECOLOGICAL ECONOMICS
Volume 161, Issue -, Pages 186-192Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.ecolecon.2019.03.023
Keywords
Impact assessment; Inverse-probability-weighted regression adjustment; Integrated soil fertility management; Maize yield; Total household income; Sub-Saharan Africa
Funding
- Urban Foodplus project - GlobE-Africa-Initiative by the German Federal Ministry of Education and Research (BMBF) [FKZ: 031A242A]
- German Federal Ministry of Economic Cooperation and Development (BMZ)
- German Academic Exchange Service (DAAD)
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Integrated soil fertility management (ISFM) has been widely promoted by research and philanthropic organizations as well as governments to increase crop yields and improve livelihoods of smallholder farmers in Africa. Therefore, it is surprising that there is still scant information on its impact on crop yields and household income. This paper uses a counterfactual model to assess ISFM impact on yields and total household incomes using farm household data from Tamale (Northern Ghana) and Kakamega (Western Kenya). The analyses reveal that ISFM adoption leads to an increase in maize yields by up to 27% in Tamale and 16% in Kakamega. Increasing the number of ISFM components, however, does not improve yields. Despite the effect on yields, adoption of ISFM does not increase total household incomes at both locations. Some implications for future research are discussed.
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