This report reviews the evidence of impact of capacity strengthening on agricultural research for development (AR4D) in developing countries. The study was commissioned by DFID as part of the documentation process of the project Strengthening Capacity for Agricultural Research for Development in Africa (SCARDA).
This document aims to guide a small team tasked to assess the capacity for agricultural innovation in a multi-stakeholder context. The context might be an actual or potential “innovation platform” such as the three commodity-based platforms selected for the piloting capacity assessment methods, or it might be a project or programme that is more generally focused on strengthening of innovation within a subsector of agriculture within a country, such as livestock or horticulture.
This review is an information resource for development practitioners, development agencies and funders of development activities who have an interest in assessing capacity for agricultural innovation in developing countries, including the developing regions of sub-Saharan Africa. In the context that further investment in the agricultural capacity of developing countries is recognised as a development priority, the review explores what is known about the “tools” (i.e. concepts and methods) which are available to guide assessment of innovation capacity in these countries.
Indicator-based tools are widely used for the assessment of farm sustainability, but analysts still face methodological and conceptual issues, including data availability, the complexity of the concept of sustainability and the heterogeneity of agricultural systems. This study contributes to this debate through the illustration of a procedure for farm sustainability assessment focussed on the case study of the South Milan Agricultural Park, Italy. The application is based on a set of environmental, social and economic indicators retrieved from the literature review.
Organic agriculture has experienced remarkable growth in recent decades as societal interest in environmental protection and healthy eating has increased. Research has shown that relative to conventional agriculture, organic farming is more e cient in its use of non-renewable energy, maintains or improves soil quality, and has less of a detrimental e ect on water quality and biodiversity. Studies have had more mixed findings, however, when examining the impact of organic farming on greenhouse gas (GHG) emissions and climate change.
Agricultural innovation in low-income tropical countries contributes to a more effective and sustainable use of natural resources and reduces hunger and poverty through economic development in rural areas. Yet, despite numerous recent public and private initiatives to develop capacities for agricultural innovation, such initiatives are often not well aligned with national efforts to revive existing Agricultural Innovation Systems (AIS).
The agricultural industry is getting more data-centric and requires precise, more advanced data and technologies than before, despite being familiar with agricultural processes. The agriculture industry is being advanced by various information and advanced communication technologies, such as the Internet of Things (IoT). The rapid emergence of these advanced technologies has restructured almost all other industries, as well as advanced agriculture, which has shifted the industry from a statistical approach to a quantitative one.
This Working Paper on Capacity Building is one of a series of 10 papers published alongside DFID's Research Strategy 2008-2013. It presents the case for DFID-funded research on Capacity Building - drawing on the responses given during a global consultation that DFID convened in 2007 about its future research.
This sourcebook outlines some of the key tools used by those involved in institutional development. While there are an increasing number of tools and techniques,the focus here is on those that are used or have been used in DFID’s own institutional work.
Governments of low-income countries and international development donors are increasing their funding for research at least in part on the assumption that research has positive impacts on socioeconomic development. Four pathways are commonly cited to describe how research will contribute to development: 1. Investment in research will drive economic growth; 2. Investment in research will increase human capital; 3. Investment in research will lead to the development of pro-poor products and technologies; 4.