Kabanda, S. (author), Brown, I. (author), and Centre for IT and National Development in Africa, Dept. of Information Systems, University of Cape Town, Private Bag X3, Rondebosch, South Africa
Format:
Journal article
Publication Date:
2017-07
Published:
Tanzania: Elsevier Ltd.
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 162 Document Number: D08102
O'Gorman, Melanie (author / University of Toronto) and Centre for the Study of African Economics, Oxford, UK
Format:
Conference paper
Publication Date:
2006-07-20
Published:
United Kingdom
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Document Number: C28215
Notes:
Posted online at http://www.csae.ox.ac.uk/conferences/2007-EDiA-LaWBiDC/papers/295-OGorman.pdf, Presented at the "Economic development in Africa" conference from March 18-20, 2007 at Oxford University.
Gnaegy Suzanna (author / Winrock International) and Anderson, Jock R. (author / Winrock International)
Format:
Publication
Publication Date:
1991-06-30
Published:
International
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 114 Document Number: D11012
Notes:
World Bank Discussion Paper 126. Washington, D.C. 158 pages., Studies from a workshop. Includes evidence that research and extension had contributed to a decline in agricultural production. "There is a broad consensus about the many factors that have contributed to failures to boost land and labor productivity in Sub-Saharan Africa. Both technological options and agroecological and socioeconomic circumstances in this vast region are diverse, thus creating a complex matrix of impacts and explanations. The central explanation is that research and development activities, whether public or private, national or international, have produced innovations that farmers find variously unprofitable, too risky, or impossible to implement in a timely and useful fashion. These problems lead, in turn, to often declining agricultural productivity and a deteriorating agricultural resource base, particularly of soil and forest resources. Stepping back further from the farmers themselves to the institutions that are supposed to have assisted, the difficulties are several including the poor (often irrelevant for resource-poor farmers) siting of much past experimental and testing endeavor, inadequate and temporally inconsistent staff and budget support for national research and extension organizations.
Kristjanson, P (author), Place, F (author), Franzel, F (author), Thornton, P.K. (author), and International Livestock Research Institute, Nairobi, Kenya
International Centre for Research on Agroforestry, Nairobi, Kenya
Format:
Online journal article
Publication Date:
2002-02-23
Published:
Kenya: Science Direct
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 109 Document Number: D10958
20 pages, via online journal, In this paper we provide evidence to show that farmers' perspectives on poverty processes and outcomes are critical in the early stages of evaluating impact of agricultural research on poverty. We summarize lessons learned from farmer impact assessment workshops held in five African locations, covering three agro-ecological zones and five different agroforestry and livestock technologies arising from collaborative national–international agricultural research. Poverty alleviation is a process that needs to be understood before impact can be measured. Workshops such as those we describe can help researchers to identify farmers' different ways of managing and using a technology and likely effects, unanticipated impacts, major impacts to pursue in more quantitative studies, the primary links between agricultural technology and poverty, and key conditioning factors affecting adoption and impact that can be used to stratify samples in more formal analyses. Farmer workshops inform other qualitative and quantitative impact assessment methods. We discuss the linkage of farmer-derived information with GIS-based approaches that allow more complete specification of recommendation domains and broader-scale measurement of impact.
