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Kassie, M.

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Kassie
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M.
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Kassie, M.
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0000-0002-5898-3877

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2016 - 20172
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Author: Erenstein, O. ×

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Now showing 1 - 4 of 4
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    Drivers of household food availability in sub-Saharan Africa based on big data from small farms
    (National Academy of Sciences, 2016) Frelat, R.; Lopez-Ridaura, S.; Giller, K.E.; Herrero, M.; Douxchamps, S.; Andersson Djurfeldt, A.; Erenstein, O.; Henderson, B.; Kassie, M.; Paul, B.K.; Rigolot, C.; Ritzema, R.S.; Rodriguez, D.; Van Asten, P.; Wijk, M. van
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    Saving labor and animal draft power: impacts of crop management innovation packages in Ethiopia
    (CIMMYT, [2017?]) Jaleta, M.; Kassie, M.; Tesfaye, K.; Tilaye Teklewold; Jena, P.; Erenstein, O.
    In 1990s Sasakawa Global 2000 introduced conservation agriculture practices in maize based systems of South Achefer District, in Amhara Region, North West Ethiopia. The specific technologies introduced were one-pass tillage for maize crop establishment, use of herbicides for weed control, and residue retention for soil fertility management. Though the last practice was not that adopted due to multi-purpose use of maize residue mainly for feed and firewood, the adoption of minimum tillage and herbicide use was considerable in the district. Thus, this study was interested in assessing the level of adoption of minimum tillage and herbicide use by smallholder farmers and evaluate the consequent impacts on maize productivity and level of draft power and labor saved in maize production due to adoption.
    Publication
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    Input subsidies or extension: which policy should take precedence when supporting farmers?
    (CIMMYT, [2017?]) Marenya, P.P.; Kassie, M.; Jaleta, M.; Erenstein, O.; Rahut, D.B.
    The Sustainable intensification of maize legume systems in eastern and southern Africa (SIMLESA) R4D project in conjunction with the adjunct Adoption Pathways project were designed to test the agronomic, economic and institutional requirements for CA-based sustainable agricultural intensification practices (CA-SAIPs) in five countries in Eastern and Southern Africa. One of the research efforts towards understanding some of the micro-level and policy enablers of CA-SAIPs looked at key household and farm-specific and macro (country specific) factors as predictors of adoption of two critical components of CA-SAIPs: minimum tillage and mulching. The study was done in four SIMLESA and Adoption Pathways project countries (Ethiopia, Kenya, Tanzania, and Malawi. Many studies in the agricultural development literature that look at the adoption of agricultural technologies often study factors observed at the farm level and policy variables are often discussed as part of the broad interpretation of these results. In this brief we report on results from a study that is based both on adoption and policy simulations models.
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    Predicting minimum tillage adoption among smallholder farmers using microlevel and policy variables
    (SpringerOpen, 2017) Marenya, P.P.; Kassie, M.; Jaleta, M.; Rahut, D.B.; Erenstein, O.
    Minimum tillage combined with mulching (MTM) is critical to conservation agriculture, yet its use by smallholder farmers raises challenging questions regarding adoption, diffusion and scaling at farm level. In this paper, we used probit regression and post-estimation simulations to identify the key micro (farm specific) and macro (country specific) factors as predictors of MTM adoption in four countries spanning a north-south gradient in eastern and southern Africa (ESA): Ethiopia, Kenya, Tanzania and Malawi. We found that farmers’ access to markets and social capital empirically predicted MTM adoption. Policies that increased fertilizer subsidies and extension-staff-to-farmer ratios had similar effects, even if only modestly. Conceivably, subsidies specifically targeted at MTM could also be considered based on their potential environmental and social benefits. We conclude that adoption of MTM still faces the same micro- and macro-level hurdles common to all agricultural technologies. Long-term investments in agricultural extension and reductions in the costs of complementary inputs are critical for the diffusion of MTM.
    Publication