Sustainable intensification of agriculture will have to build on various innovations, but synergies between different types of technologies are not yet sufficiently understood. We use representative data from small farms in Kenya and propensity score matching to compare effects of input-intensive technologies and natural resource management practices on household income. When adopted in combination, positive income effects tend to be larger than when individual technologies are adopted alone.
This report provides summary findings and conclusions from a set of five case studies examining the scaling up of pro-poor agricultural innovations through commercial pathways in developing countries.
This study has been produced with the overall goal to document and analyse exisiting best practices in the field of RWHI management in sub-Saharan Africa, with a special focus on Ethiopia, Kenya, Mozambique and Zimbabwe. This is meant to determine the suitability of RWHI management under multivariate biophysical and socioeconomic conditions. The best practices include specific information and know-how on the performance, cost-efficiency and impacts of RWHI technologies.
These training materials have been produced to foster the capacity of key members of local communities to practically implement RWHI systems in a cost-efficient manner. The specific target group of these capacity building materials are local community members who are directly involved in the replication and scale-up of RWHI technologies and practices, i.e.
This report highlights the great potential of the agribusiness sector in Africa by drawing on experience in Africa as well as other regions. The evidence demonstrates that good policies, a conducive business environment, and strategic support from governments can help agribusiness reach its potential. Africa is now at a crossroads, from which it can take concrete steps to realize its potential or continue to lose competitiveness, missing a major opportunity for increased growth, employment, and food security. The report pursues several lines of analysis.
The study was commissioned by the Advisory Service on Agricultural Research for Development of the Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) and was carried out in cooperation with GIZ Western Kenya and the International Centre for Tropical Agriculture in Nairobi. Overall objective of the study was to design a strategy and make recommendations for locally adapted climate smart agriculture (CSA) tailored to smallholder needs in Western Kenya. This included the production of practical policy and technical guidance material.
This report brings the experience of an Sharing Evend and Police tour held in eastern africa by FAO and the Rwanda agricultural board. The Field School study tour was organized by FAO Rwanda in collaboration with the Rwanda Agricultural board and involved participants from Kenya and Ethiopia. The participants from Ethiopia were 2 (Government and FAO) and those from Kenya were 9 (FAO, MOALF, University, Research). The tour was focussed on two districts namely Rulindo and Rubavu. On the first day the group visited FS facilitator training in Rulindo and later a visit to FFS facilitator group.
In this paper, it is reported the results of a case study of the Community Engagement (CE) strategies employed by the Africa Harvest Biotech Foundation International (AH) to introduce tissue culture banana (TCB) agricultural practices to small-hold farmers in Kenya, and their impact on the uptake of the TCB, and on the nature of the relationship between AH and the relevant community of farmers and other stakeholders.
Integrated soil fertility management (ISFM) has been promoted by research and philanthropic organizations as well as governments in an attempt to increase crop yields and improve livelihoods of smallholder farmers in Africa. As this has largely been a continent-wide initiative, 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).