The purposes of this course are to review the major reforms being considered internationally that aim to change the policy and institutional structure and operations of public sector agricultural extension systems, and to examine the advantages and disadvantages of each of these reforms as illustrated by the selected case studies. Aside from the introductory chapter, the course is organized into nine modules, which are conceived as part of a larger framework.
A growing variety of public and private agricultural advisory services are available today, leading to increasingly ‘pluralistic service systems’ (PSS) where advisory services are provided by different actors and funded from different sources. This is generally regarded as an important step forward, as it steers away from relying on purely state-led or privatised service systems. PSS hold the potential to overcome constraints related to funding, staffing and expertise, and to make advisory services more demand-driven.
A growing variety of public and private rural advisory services are available today, leading to increasingly “pluralistic service systems” (PSS), in which advisory services are provided by different actors and funded from different sources. However, these PSS and the way they operate are still poorly understood. In particular, how PSS can effectively respond to demands of heterogeneous farmers in contexts where small-scale agriculture increasingly needs to exploit value addition and adapt to market requirements.
A growing variety of public and private rural advisory services are available today, leading to increasingly pluralistic service systems (PSS) – in which advisory services are provided by different actors and funded from different sources. PSS have emerged in many countries as a response to a decline in public sector extension and the increasing demand for tailored, diverse and market-oriented services. Private companies, non-governmental organizations and producer organizations, today play more active roles alongside traditional public sector providers.
This brief provides an overview of the monitoring and evaluation (M&E) system of the CGIAR Research Program on Aquatic Agricultural Systems (AAS) and describes how the M&E system is designed to support the program to achieve its goals. The AAS program aims to improve the lives of 22 million people dependent upon aquatic agricultural systems by 2024 through research in development.
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.
Magdalena Blum, Extension Systems Officer (Food and Agriculture Organization, Rome), presented the topic of Agricultural Innovation Systems in Family Farming during the 3rd GFRAS Annual Meeting, "The Role of Rural Advisory Services in Agricultural Innovation Systems", 26-28 September 2012, Philippines.
The presentation focuses on main issues and results from the FAO e-conference on AIS in family farming (4 June - 1 July 2012),including the role for innovation brokers and the vexed issue of funding for brokering.
The articles in the dossier present different approaches to supporting farmer-led research, ranging from partnerships between small-scale farmer organisations and research institutions, to alliances of farmer groups, nongovernmental organisations and researchers, to constellations in which farmer organisations directly contract researchers. The articles highlight some innovations that have emerged from these processes and – more important still – show new ways of organising research so that it strengthens innovative capacities at grassroots level.
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.