This paper (Part I) present a case study of work conducted by the International Centre for Tropical Agriculture (CIAT) to adapt network mapping techniques to a rural and developing country context. It reports on work in Colombia to develop a prototype network diagnosis tool for use by service providers who work to strengthen small rural groups. It is complemented by a further paper in this issue by Louise Clark (Part II) which presents work to develop a network diagnosis tool for stakeholders involved in agricultural supply chains in Bolivia.

This paper (Part I) present a case study of work conducted by the International Centre for Tropical Agriculture (CIAT) to adapt network mapping techniques to a rural and developing country context. It reports on work in Colombia to develop a prototype network diagnosis tool for use by service providers who work to strengthen small rural groups. It is complemented by a further paper in this issue by Louise Clark (Part II) which presents work to develop a network diagnosis tool for stakeholders involved in agricultural supply chains in Bolivia.

The objectives of this study twofold (i) First to assess farmer's perceptions of IT and secondly (ii) to determine the major factors influencing farmer's adoption decisions. This study offers for policy makers important considerations that could stimulate and sustain adoption of these IT in Tunisian arid agricultural areas. The present study is based on the hypothesis that the farm adoption decision of farmers has no relationship with the type of technology

The objectives of this study were 1) to describe farming systems in Zoghmar community at Sidi Bouzid site; 2) analyze the existing lamb production chain and 3) develop potential technical and organizational pathways to better respond to farmers and consumers needs. A total of 120 surveys was conducted in Sidi Bouzid region including sheep owners, butchers and consumers. The project initiated the formation of a farmers association at Zoghmar community to establish a transparent lamb production chain.

Agriculture remains a key and sensitive economic sector in Egypt. Given contemporary geo-political concerns that limit access to international markets, it continues to remain responsible for the production of food and
fiber needed for a growing population. Efficacy in agricultural Extension Services (AES), within the broader scope of an agricultural innovation system, has the potential to assist in the government’s mandate, and

This paper provides a review of the agricultural extension system in Jordan, with a focus on strengths and constraints, as well as options for how to improve efficiency in service delivery and efficacy in outcomes. While public extension in Jordan has gone through many reforms and phases over the past three decades, contemporary concerns related to regional conflict and blockages in access to traditional trade routes require a repositioning of extension and advisory services within the Kingdom.

This document is designed to help researchers apply RCTs so they can gain a more accurate insight into the impacts of different extension strategies in different locations. It provides information on the benefits of an RCT approach in comparison to other impact evaluation models; provides a step-by-step implementation guide and a framework to avoid challenges; and demonstrates how an RCT approach was implemented within the context of the ‘Mind the Gap’ initiative.

Literature is scanty on how public agricultural investments can help reducing the impact of future challenges such as climate change and population pressure on national economies. The objective of this study is to assess the medium and long-term effects of alternative agricultural research and development investment scenarios on male and female employment in 14 African countries. The authors first estimate the effects of agricultural investment scenarios on the overall GDP growth of a given country using partial and general equilibrium models.

Participatory Impact Pathways Analysis (PIPA) is a practical approach to planning, monitoring and evaluation, developed for use with complex research-for-development projects. PIPA begins with a participatory workshop where stakeholders make explicit their assumptions about how their project will make an impact, and produce an ‘Outcomes logic model’ and an ‘Impact logic model’. These two logic models provide an ex-ante framework of predictions of impact that can also be used in priority setting and ex-post impact assessment.