Search

The East African Customs Union was established in 2005 with the aim of increasing intraregional trade. The Customs Union protocol commits member states to eliminate non-tariff barriers (NTBs) to intraregional trade. However, several NTBs are still applied by member states. This study identifies the existing NTBs on maize and beef trade and quantifies their impact on trade and welfare of EAC citizens using a Spatial Equilibrium Model (SEM). Data on NTBs were collected from traders and transporters of maize and beef cattle in East Africa. Roadblock checks, bribes and custom rules and procedures were identified as the main NTBs to trade. The SEM model shows that a 50% reduction of the cost of NTBs, or their complete elimination would improve social welfare in EAC. The study recommends: removal of the NTBs; improved efficiency in administrative procedures; and establishment of a monitoring system to track the effectiveness of implemented initiatives to remove barriers to trade.

Cereal grains are important staple foods in Africa but yields are still too low at 1.5 tons per ha for maize while compared with a global average of 4.5 tons per ha. This can be partly attributed to limited development of commercial seed markets, low use of improved seeds, small and highly fragmented seed markets. Many released varieties are not widely disseminated due to closed national markets dominated by a few international companies and parastatals, and restrictive laws, regulations and policies. Transactions costs within and across national boundaries are high because of differing arrangements across countries. Establishment of common regulatory structures is expected to reduce transactions costs and promote increased trade and hence use of improved seeds. This paper describes the process, results, experiences and lessons learned in developing and operationalizing a seed trade harmonization system in eastern and central Africa. It is clear that the public-private partnerships can play a pivotal role in catalyzing, facilitating and supporting the establishment, development and strengthening of national and regional seed trade. By building partnerships and wide participation, the project was able to apply lessons learned from older to newer countries. The technical, political and legislative processes in the policy-change-cycle are equally important and optimal outcomes must be based on trade-offs between technical issues and interests of the stakeholders.

Poverty in Kenya has been on the increase over the last decade. It is estimated that 56% of the total population live in absolute poverty. Most of the poor reside in rural areas where agriculture is the main livelihood activity. Majority of Kenya's farmers are smallholders. They account for 75% of the total agricultural output and about 70% of marketed agricultural produce. The fate of smallholder agriculture in this country is therefore central to poverty reduction. A collapse in output and incomes from smallholder agriculture is likely to have damaging welfare effects and retard pro-poor economic growth. Smallholders often operate in a risky environment, which affects the level and variability of household resource endowments and income. The importance of risk analysis in smallholder production systems arises from the fact that strategies to help farmers raise their productivity and income require an understanding of how risk affects their production decisions. Using cross-sectional input-output data from 240 randomly selected households from Vihiga and Kilifi districts covering the 2003/4 agricultural year, and time series data on yields, this study investigates how risk affects farmers' production choices in the crop-livestock systems. Further, it explores the possibility of improving production and income on these smallholder farms. Linear programming and MOTAD are used in analysis. Results indicate there is potential to improve production and income on these smallholder farms through a change in the enterprise mix. The farm plans are sensitive to risk, with trade-offs occurring between higher risk and returns.

Technology adoption by farmers is crucial to increasing agricultural productivity hence meeting food and nutrition challenges in Africa. Economists investigating consumer demand have accumulated considerable evidence showing that consumers generally have subjective preferences for product attributes. However, when investigating adoption of new agricultural technologies, economists have lagged behind in analysing how farmers' (the consumer of agricultural technologies) subjective perceptions of technology characteristics affect their adoption decisions. Focusing on farmer perceptions of technologies may provide a better understanding of technology adoption since they deal with the technologies and probably perceive technologies differently from researchers and extension agents. The objective of this paper is to investigate farmers' perception of technology and its impact on adoption using a case study of legume forages in central Kenya highlands. Data from a random sample of 131 farm households in four districts in central Kenya was used. Using participatory techniques, four most important fodder legume attributes to farmers in their adoption decision were identified. These were then used in conjoint analysis. An ordered probit model was estimated to assess relative importance of each attribute to the farmer. A tobit model was also estimated to show the effect of farmers' perception of calliandra and desmodium on probability and intensity of adoption. Results showed that dry season tolerance and economy on land are most important characteristics of fodder legumes to the farmers. It was also found that Calliandra and desmodium were more relevant to the farmers in the area than other fodders. Farmers' perception of the two fodders had a significant impact on their adoption. Consequently, it was recommended that before introducing a technology in an area, it is necessary that the farmers' perception of the technology be analysed Conjoint analysis, ordered probit and tobit estimates, fodder legume adoption.

Over the years, substantial investments in agricultural research have been made in sub-Saharan Africa. The few studies on research investments show impressive returns that are comparable to those achieved in developed countries. However, problems such as recurrent hunger, poverty, food insecurity and natural resource degradation continue to plague the region. Agricultural development arena is changing rapidly toward non-linear innovation systems of complex actor networks and multiple sources of innovations characterized by dynamic and iterative learning processes that constantly inform, renew and advance the state of the systems. Most actors and institutions are not linked effectively often from imaginary boundaries created by prescribed mandates and parochial interests. While more investments in research and development are required for the region, it is becoming increasingly difficult to justify them in the wake of competing needs in the face of shrinking national budgets. The few impact assessments that have been carried out in the region have been incidental and not linked to the research planning cycle implying that lessons from previous research efforts are not used when planning for subsequent research and development efforts. We are proposing impact orientation to track impact to the attainment of institutional and overall development goals. This calls in part for impact assessment to be made an integral part of planning, monitoring and evaluation along with appreciation of the impact chain and actors involved in the innovation process to demonstrate relevance to development goals and thus justify funding.

Although soil fertility is recognized as a primary constraint to agricultural production in developing countries, use of fertilizer in Sub-Saharan Africa is declining. Smallholder farmers still rely heavily on livestock manure for soil fertility management. To explore the determinants of soil fertility management practices, including both the use of cattle manure and inorganic fertilizer, data are used from a sample of 3,330 geo-referenced farm households across Central and Western Kenya. A bivariate probit model is applied to jointly examine the use of the two technologies. Particular attention is given to measures of location related to market access and agroclimate, which in the adoption literature have typically been addressed using crude proxies. To avoid such proxies, GIS-derived variables are integrated into the household decision model. Their use also allows the spatial prediction of uptake based on parameter estimates. The results show clearly the derived-demand nature of soil fertility services, based on markets for farm outputs. They also illustrate that supply of manure for soil fertility amendments is conditioned by demand for livestock products, especially milk. The integration of GIS-derived variables is shown to better estimate the effects of location than the usual measures employed, and offers scope to wider use in technology adoption research.