Informations et ressources scientifiques
sur le développement des zones arides et semi-arides

Titre : Public-Private Partnerships in Kenya : A Case Study on the Socio-Economic Impacts of SNV Projects on Smallholder Farmers

Auteur : Akerboom, Alexander

Université de soutenance : Universiteit Leiden

Grade : Master African Studies 2019

Résumé
This master thesis attempted to research the kinds of socio-economic dynamics of Public-Private Partnerships (PPPs) on rural communities in Kenya. To do this, the Kenyan branch of the SNV Netherlands Development Organisation hosted me to analyse the impacts of three SNV-initiated PPP projects focusing on the fields of agriculture, dairy and water management. Research was conducted directly in the field by interviewing twenty different smallholder farmers who are using products or services of one of the five different analysed SNV business partners taking part in the PPP projects. The history of PPPs in Africa and particularly Kenya was summarised while simultaneously elaborating as to why PPPs are an increasingly more prevalent means of development in the country. My methodology was then outlined including information about the relevant Kenyan counties and the different SNV PPPs and business partners. The results of the twenty different interviews were then detailed and critically discussed showing the strengths and shortcomings of the collected data while highlighting key findings. It was found that the farmers I interviewed were primarily very pleased with the products and services they were using through SNV’s PPP projects, being fairly hesitant in sharing any critiques or points of improvement. Upon further analysis this could have been due to shortcomings in my methodology meaning that it is important to always critically evaluate gathered qualitative data before coming to a definitive conclusion since various unintended consequences could still negatively impact rural communities even though interviewed farmers remain positive. For future research there is room for improvement by looking into different factors that may introduce bias into data gathering, requiring adjustments to the methodology, as well as increasing the sample size of conducted interviews. Additionally, future interviews should include questions about specific quantitative figures in order to have a clear manner to measure changes in production and income

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