The authors identify constraints and critical factors that influence compliance with EurepGap standards among French bean smallholder exporters in Kirinyaga District, Kenya. A probit model was used to determine the factors influencing the EurepGap compliance decision while descriptive statistics were used to identify the major constraints to compliance. Results indicate that the high initial cost of compliance is a major constraint on compliance. This arises from the need to purchase recommended agro-chemicals and fertilizers, and the hiring of additional labor. The key factors that are likely to enhance compliance with the standards include socioeconomic and farm characteristics such as area under French beans, household size, total number of farm enterprises and access to extension services. However, compliance is also negatively influenced by access to off‐farm income. The authors make several policy recommendations that could be implemented to enhance and upscale compliance with EurepGap standards in the study area. [EconLit citations: D230; Q130; Q180]. (C) 2010 Wiley Periodicals, Inc.

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Agriculture plays a crucial role in the economy of sub-Saharan Africa. A feature of particular significance about the region is that the majority of households are heavily dependent on agriculture as their major source of livelihood. Smallholder agriculture is the principal producer of staple foods and cash crops, accounting for very large shares of national production and marketed output. For the respective countries, therefore, the performance of smallholder agriculture has crucial implications for the overall economic development process including the alleviation of rural poverty. The demands created by steadily increasing populations, and the pressing need to increase agricultural productivity means that these countries must continuously adopt methods to intensify agricultural production.

IntroductionOne Health (OH) can be considered a complex emerging policy to resolve health issues at the animal–human and environmental interface. It is expected to drive system changes in terms of new formal and informal institutional and organisational arrangements. This study, using Rift Valley fever (RVF) as a zoonotic problem requiring an OH approach, sought to understand the institutionalisation process at national and subnational levels in an early adopting country, Kenya.Materials and methodsSocial network analysis methodologies were used. Stakeholder roles and relational data were collected at national and subnational levels in 2012. Key informants from stakeholder organisations were interviewed, guided by a checklist. Public sector animal and public health organisations were interviewed first to identify other stakeholders with whom they had financial, information sharing and joint cooperation relationships. Visualisation of the OH social network and relationships were shown in sociograms and mathematical (degree and centrality) characteristics of the network summarised.Results and discussionThirty-two and 20 stakeholders relevant to OH were identified at national and subnational levels, respectively. Their roles spanned wildlife, livestock, and public health sectors as well as weather prediction. About 50% of national-level stakeholders had made significant progress on OH institutionalisation to an extent that formal coordination structures (zoonoses disease unit and a technical working group) had been created. However, the process had not trickled down to subnational levels although cross-sectoral and sectoral collaborations were identified. The overall binary social network density for the stakeholders showed that 35 and 21% of the possible ties between the RVF and OH stakeholders existed at national and subnational levels, respectively, while public health actors’ collaborations were identified at community/grassroots level. We recommend extending the OH network to include the other 50% stakeholders and fostering of the process at subnational-level building on available cross-sectoral platforms.

In controlling Rift Valley fever, public health sector optimises health benefits by considering cost-effective control options. We modelled cost-effectiveness of livestock RVF control from a public health perspective in Kenya. Analysis was limited to pastoral and agro-pastoral system high-risk areas, for a 10-year period incorporating two epidemics: 2006/2007 and a hypothetical one in 2014/2015. Four integrated strategies (baseline and alternatives), combined from three vaccination and two surveillance options, were compared. Baseline strategy included annual vaccination of 1.2–11% animals plus passive surveillance and monitoring of nine sentinel herds. Compared to the baseline, two alternatives assumed improved vaccination coverage. A herd dynamic RVF animal simulation model produced number of animals infected under each strategy. A second mathematical model implemented in R estimated number people who would be infected by the infected animals. The 2006/2007 RVF epidemic resulted in 3974 undiscounted, unweighted disability adjusted life years (DALYs). Improving vaccination coverage to 41–51% (2012) and 27–33% (2014) 3 years before the hypothetical 2014/2015 outbreak can avert close to 1200 DALYs. Improved vaccinations showed cost-effectiveness (CE) values of US$ 43–53 per DALY averted. The baseline practice is not cost-effective to the public health sector.