Abstract

Despite decades of agricultural extension programmes, participatory research projects and efforts to encourage knowledge integration and sharing, few smallholder farmers are adopting natural resource management (NRM) practices. Using an agroforestry (AF)-based conservation practice known as conservation agriculture with trees as a case study, this study aims at contributing to the growing debate that a properly designed training programme enhances adoption of knowledge intensive NRM practices by providing resource poor farmers with the opportunity to learn, test and adapt such practices to suit their resource needs. To control for endogeneity in participation in training and assess the effect of training on adoption, we estimate an instrumental variable probit model using cross sectional data collected in 2013 from 198 farm households in Machakos district in Kenya. One key message emanating from the study, which is critical for development practitioners who are keen on up-scaling AF based conservation practices through training, is that strengthening technical capacity of smallholder farmers is necessary but it is not in itself sufficient to stimulate adoption of conservation practices. Instead, institutional factors like good road infrastructure that help reduce transaction costs associated with the search for information on technologies and markets and resource endowments in form of labour and land provide synergistic effects. Consequently, complementary strategies such as the introduction of cost effective labour saving technologies and the provision of enabling environment through public–private partnerships for farmers to access the technologies and inputs that are critical for implementing the skills acquired during the training are prerequisites for adoption.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.