Rapid Appraisal of Agricultural Innovation Systems (RAAIS) is a peer-reviewed research for development tool that has been developed, tested and used in 18 countries across 3 continents.
RAAIS supports the identification and analysis of complex agricultural problems in agrifood systems. The joint assessment of problems and identification of innovations to overcome these problems with farmers, policymakers, private sector and other stakeholders provides a starting point for collective action towards achieving development outcomes and impact.
The paper specifically proposes a framework to detect and quantify non-linear consequences in response to progressively deteriorating chain fragility factors. The paper’s approach is a novel alternative to the traditional value chain ‘risk assessment’.
This training manual was developed for Africa RISING, a USAID funded research-for-development (R4D) program that recognizes gender mainstreaming as key for achieving its overall research and development objectives. The program is based on an integrated action research and farming-systems approach, and strives for gender transformation. A gender capacity assessment in 2015 identified a pronounced demand among Africa RISING scientists for training in gender analysis. As a first step towards addressing this need, an annotated bibliography with selected sources for self-learning was developed.
The goal of this work is to review methodologies to analyze value chains, particularly within the agribusiness sector. The first part of the analysis delves into the value chain concept, with the aim of discovering how the concept has changed from an historical perspective, and what would be an acceptable narrow definition.
The objectives of this manuscript are threefold; to provide a financial, and thus formal, definition of value added; measure value addition by firms across the four nodes/stages of the value chain; and third to test hypotheses as to the drivers of value creation that differ across the four nodes.First was defined value creation/
This paper examines some issues related to the production and marketing of kiwi in Arunachal Pradesh, the largest producer of kiwis in India. It contributes 56.5% of the total 8.5 thousand tons of kiwis produced in the country. India imports 75% of its domestic demand for fresh kiwis and, therefore, there is huge scope to upscale kiwi production in north-eastern states in general and Arunachal Pradesh in particular.
This book documents a unique series of 19 case studies where agricultural biotechnologies were used to serve the needs of smallholders in developing countries. They cover different regions, production systems, species and underlying socio-economic conditions in the crop (seven case studies), livestock (seven) and aquaculture/fisheries (five) sectors. Most of the case studies involve a single crop, livestock or fish species and a single biotechnology.
This report provides a synthesis of all findings and information generated through a “stocktaking” process that involved a desk study of Prolinnova documents and evaluation reports, a questionnaire to 40 staff members of international organizations in agricultural research and development (ARD), self-assessment by the Country Platforms (CPs) and backstopping visits to five CPs. In 2014, the Prolinnova network saw a need to re-strategise in a changing context, and started this process by reviewing the activities it had undertaken and assessing its own functioning.
This presentation for the Third Global Conference on Agricultural Research for Development (GCARD3,Johannesburg, South Africa, 5-8 April 2016) illustrates the main goals and activities of the Tropical Agriculture Platform, the multilateral facilitation mechanism established by the G20 to promote greater coherence and impact of capacity development (CD) for agricultural innovation systems (AIS).
This paper examines the determinants of participation in an outsourced extension programs and its impact of smallholder farmers' net farm income in Msinga, KwaZulu-Natal, South Africa. A multi-stage sampling technique was used to obtain cross-sectional farm-level data from a sample of 300 farm households, using a structured questionnaire for the interview. The determinants and impacts of participation were estimated using the propensity score matching (PSM) to account for sample selection bias.