This module is the second in the series designed to improve Capacity Development (CD) approaches in projects and programmes of the Food and Agriculture Organization of the United Nations (FAO). It includes examples and tools to support endogenous CD processes in the areas of FAO’s mandate. Practitioners also may draw on the other Learning Modules (see box 1) which cover tools from disciplines such as organization analysis and development, learning event planning, facilitation and instructional science.
This presentation on capacity development has been illustrated by Patrick Kalas (Capacity Development Officer at FAO) in occasion of the CTA & FAO Expert Workshop 22-23 October 2014 in Rome, Italy.
Research results and FAO National Aquaculture Sector Overview (NASO) fact sheets show that female participation rates vary by type and scale of enterprise and country. Women are frequently active in hatcheries and dominate fish processing plant labourers. Women’s work in small-scale aquaculture frequently is unrecognized, under or unpaid. Most aquaculture development projects are not gender sensitive, and aquaculture success stories often do not report gender dimensions; projects can fail if their designs do not include gender.
The study describes the historic development of the Danish Agricultural Advisory Services (DAAS). This is the case of a national advisory system owned and managed by the farmer organizations and financed with public subsidies combined with farmer/user payments, gradually developed to full user payment. The links and relations between the empowerment of farmers and their organizations, their evolving roles in advisory systems, and the innovative financial mechanisms in extension, especially pull-mechanisms, are analyzed.
While the Agricultural Science and Technology Indicators (ASTI) initiative provides data and analysis of domestic public and private spending on agricultural research and development for a wide range of developing countries, the literature pays little attention, if any, to foreign assistance to agricultural, fishing and forestry research and agricultural extension. The objective of the present study is to fill this gap.
The Farmer Field School (FFS) approach has been very successful and witnessed a strong expansion in many areas beyond crop production. Notwithstanding this success, the adoption of FFS in national extension often remains problematic and FFS activities have often been implemented in the margin of national institutions with strong reliance on donor funding. The creation of an enabling environment for institutional support is essential for expanding the effort, improving quality, and strengthening impact and continuity of the FFSs.
This publication represents a synthesis of assessments of national agricultural innovation systems in countries of Central Asia, South Caucasus and Turkey. The first chapter gives an introduction of the project “Capacity Development for Analysis and Strengthening of Agricultural Innovation Systems in Central Asia and Turkey”, out of which the current publication reports about one of the project outputs achieved.
Apple production in South Tyrol is a true illustration of a vibrant agricultural innovation system.
The study report is based on case studies from Bangladesh (Sulaiman, 2010), Bolivia (Pafumi and Ulloa, 2010), DR Congo (Mbaye, 2010) and Ghana (Adjei-Nsiah and Dormon, 2010) which were carried out with the purpose of assessing needs and gaps with regard to the provision of innovation support services for climate change adaptation. It took the form of desk-studies complemented with key informant interviews.
This paper analyzes the impact of participation in multi-stakeholder platforms (Plataformas) aimed at linking smallholder potato farmers to the market in the mountain region of Ecuador. It describes and evaluates the Plataformas’ program to determine whether it has been successful in linking farmers to higher-value markets and the effects that such connections have brought, particularly with regard to farmers’ welfare and to the environment. The analysis is run comparing a set of different and carefully constructed control groups to beneficiaries and using various specifications.