Person: 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 21 results
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- Fertilizer use on individually and jointly managed crop plots in Mozambique(Africa Centre for Gender, Social Research and Impact Assessment, 2015) Marenya, P.P.; Kassie, M.; Tostao, E.
Publication - 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
Publication - Economic impacts of fall armyworm and its management strategies: evidence from southern Ethiopia(Oxford University Press, 2020) Kassie, M.; Wossen,T.; De Groote, H.; Tadele Tefera; Sevgan, S.; Balew, S.
Publication - Farm production, market access and dietary diversity in Malawi(Cambridge University Press, 2016) Koppmair, S.; Kassie, M.; Qaim, M.The association between farm production diversity and dietary diversity in rural smallholder households was recently analysed. Most existing studies build on household-level dietary diversity indicators calculated from 7d food consumption recalls. Herein, this association is revisited with individual-level 24 h recall data. The robustness of the results is tested by comparing household- and individual-level estimates. The role of other factors that may influence dietary diversity, such as market access and agricultural technology, is also analysed. Design A survey of smallholder farm households was carried out in Malawi in 2014. Dietary diversity scores are calculated from 24 h recall data. Production diversity scores are calculated from farm production data covering a period of 12 months. Individual- and household-level regression models are developed and estimated. Setting Data were collected in sixteen districts of central and southern Malawi. Subjects Smallholder farm households (n 408), young children (n 519) and mothers (n 408). Results Farm production diversity is positively associated with dietary diversity. However, the estimated effects are small. Access to markets for buying food and selling farm produce and use of chemical fertilizers are shown to be more important for dietary diversity than diverse farm production. Results with household- and individual-level dietary data are very similar. Conclusions Further increasing production diversity may not be the most effective strategy to improve diets in smallholder farm households. Improving access to markets, productivity-enhancing inputs and technologies seems to be more promising.
Publication - Spread and impact of fall armyworm (Spodoptera frugiperda J.E. Smith) in maize production areas of Kenya(Elsevier, 2020) De Groote, H.; Kimenju, S.C.; Munyua, B.G.; Palmas, S.; Kassie, M.; Bruce, A.Y.
Publication - Managing vulnerability to drought and enhancing livelihood resilience in sub-Saharan Africa: Technological, institutional and policy options(Elsevier, 2014) Shiferaw, B.; Tesfaye, K.; Kassie, M.; Abate, T.; Prasanna, B.M.; Menkir, A.Agriculture and the economies of Sub-Saharan Africa (SSA) are highly sensitive to climatic variability. Drought, in particular, represents one of the most important natural factors contributing to malnutrition and famine in many parts of the region. The overall impact of drought on a given country/region and its ability to recover from the resulting social, economic and environmental impacts depends on several factors. The economic, social and environmental impacts of drought are huge in SSA and the national costs and losses incurred threaten to undermine the wider economic and development gains made in the last few decades in the region. There is an urgent need to reduce the vulnerability of countries to climate variability and to the threats posed by climate change. This paper attempts to highlight the challenges of drought in SSA and reviews the current drought risk management strategies, especially the promising technological and policy options for managing drought risks to protect livelihoods and reduce vulnerability. The review suggests the possibilities of several ex ante and ex post drought management strategies in SSA although their effectiveness depends on agro-climatic and socio-economic conditions. Existing technological, policy and institutional risk management measures need to be strengthened and integrated to manage drought ex ante and to minimize the ex post negative effects for vulnerable households and regions. A proactive approach that combines promising technological, institutional and policy solutions to manage the risks within vulnerable communities implemented by institutions operating at different levels (community, sub-national, and national) is considered to be the way forward for managing drought and climate variability.
Publication - Adoption of multiple climate-smart agricultural practices in the Gangetic plains of Bihar, India(Emerald Publishing Limited, 2018) Aryal, J.P.; Jat, M.L.; Sapkota, T.; Khatri-Chhetri, A.; Kassie, M.; Rahut, D.B.; Maharjan, S.Purpose: The adoption of climate-smart agricultural practices (CSAPs) is important for sustaining Indian agriculture in the face of climate change. Despite considerable effort by both national and international agricultural organizations to promote CSAPs in India, adoption of these practices is low. This study aims to examine the elements that affect the likelihood and intensity of adoption of multiple CSAPs in Bihar, India. Design/methodology/approach: The probability and intensity of adoption of CSAPs are analyzed using multivariate and ordered probit models, respectively. Findings: The results show significant correlations between multiple CSAPs, indicating that their adoptions are interrelated, providing opportunities to exploit the complementarities. The results confirm that both the probability and intensity of adoption of CSAPs are affected by numerous factors, such as demographic characteristics, farm plot features, access to market, socio-economics, climate risks, access to extension services and training. Farmers who perceive high temperature as the major climate risk factor are more likely to adopt crop diversification and minimum tillage. Farmers are less likely to adopt site-specific nutrient management if faced with short winters; however, they are more likely to adopt minimum tillage in this case. Training on agricultural issues is found to have a positive impact on the likelihood and the intensity of CSAPs adoption. Practical implications: The major policy recommendations coming from of our results are to strengthen local institutions (public extension services, etc.) and to provide more training on CSAPs. Originality/value: By applying multivariate and ordered probit models, this paper provides some insights on the long-standing discussions on whether farmers adopt CSAPs in a piecemeal or in a composite way.
Publication - 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 - 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.
Publication - Different ways to cut a cake: comparing expert-based and statistical typologies to target sustainable intensification technologies, a case-study in Southern Ethiopia(Cambridge University Press, 2019) Berre, D.; Baudron, F.; Kassie, M.; Craufurd, P.; Lopez-Ridaura, S.Understanding farm diversity is essential to delineate recommendation domains for new technologies, but diversity is a subjective concept, and can be described differently depending on the way it is perceived. Historically, new technologies have been targeted primarily based on agro-ecological conditions, largely ignoring socioeconomic conditions. Based on 273 farm households’ surveys in Ethiopia, we compare two approaches for the delineation of farm type recommendation domains for crop and livestock technologies: one based on expert knowledge and one based on statistical methods. The expert-based typology used a simple discriminant key for stakeholders in the field to define four farm types based on Tropical Livestock Unit, total cultivated surface and the ratio of these two indicators. This simple key took only a few minutes to make inferences about the potential of adoption of crop and livestock technologies. The PCA-HC analysis included a greater number of variables describing the farm (land use, household size, cattle, fertilizer, off-farm work, hiring labour, production). This analysis emphasized the multi-dimensional potential of such a statistical approach and, in principle, its usefulness to grasp the full complexity of farming systems to identify their needs in crop and livestock technologies. A sub-sampling approach was used to test the impact of data selection on the diversity represented in the statistical approach. Our results show that diversity structure is significantly impacted according to the choice of a sub-sample of 15 of the 20 variables available. This paper shows the complementarity of the two approaches and demonstrates the influence of data selection within large baseline data sets on the total diversity represented in the clusters identified.
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