The Sourcebook is the outcome of joint planning, continued interest in gender and agriculture, and concerted efforts by the World Bank, FAO, and IFAD. The purpose of the Sourcebook is to act as a guide for practitioners and technical staff inaddressing gender issues and integrating gender-responsive actions in the design and implementation of agricultural projects and programs. It speaks not with gender specialists on how to improve their skills but rather reaches out to technical experts to guide them in thinking through how to integrate gender dimensions into their operations.
The purpose of this paper is to map some elements that can contribute to an IFAD strategy to stimulate and support pro-poor innovations. It is an initial or exploratory document that hopefully will add to an ongoing and necessary debate, and is not intended as a final position paper. The document is organized as follows.
African agriculture is currently at a crossroads, at which persistent food shortages are compounded by threats from climate change. But, as this book argues, Africa can feed itself in a generation and help contribute to global food security. To achieve this Africa has to define agriculture as a force in economic growth by: advancing scientific and technological research; investing in infrastructure; fostering higher technical training; and creating regional markets.
Literature is scanty on how public agricultural investments can help reducing the impact of future challenges such as climate change and population pressure on national economies. The objective of this study is to assess the medium and long-term effects of alternative agricultural research and development investment scenarios on male and female employment in 14 African countries. The authors first estimate the effects of agricultural investment scenarios on the overall GDP growth of a given country using partial and general equilibrium models.
This presentation summarizes lessons learned as a result of developing Information and knowledge systems in Egypt in the last years. The lessons are classified on the main topics discussed in International Consultation on Agricultural Research for Development and Innovation held in December 2009 in ICRISAT. Th
This presentation was realized for the GFAR workshop on "Adoption of ICT Enabled Information Systems for Agricultural Development and Rural Viability" (at IAALD-AFITA-WCCA World Congress, 2008). It presents lessons learned through linking research to extension, including examples from projects in Nigeria, Colombia, Uganda ,Costa Rica, Egypt and Bhutan.
Agriculture remains a key and sensitive economic sector in Egypt. Given contemporary geo-political concerns that limit access to international markets, it continues to remain responsible for the production of food and
fiber needed for a growing population. Efficacy in agricultural Extension Services (AES), within the broader scope of an agricultural innovation system, has the potential to assist in the government’s mandate, and
Four FFSs concerning integrated crop–livestock systems were implemented by a R&D project namely “Adaptation to Climate Change in West Asia and North Africa (WANA) Marginal Environments through Sustainable Crop and Livestock Diversification (ACC project)” during the summer season 2013 in three villages namely Village 4, Village 7 and Village 1750 in Sinai Peninsula. This study aimed to do the following: (1) assess the learning impacts of farmer field schools of integrated crop–livestock package and (2) explore the factors that affect the respondents’ learning index.
This note is part of the Global Good Practices Initiative, which aims to provide information about extension approaches and methods in easy-to-understand formats. It focuses on Innovation Platforms, examining in particular two case studies: the Ghana Oil Palm platform and the Research Into Use (RIU) programme in Tanzania.
This report describes the 2012 NAIS Assessment was piloted in 4 countries: Botswana, Ghana, Kenya and Zambia. Data were collected through a survey questionnaire, open-ended interview questions, and data mining of secondary sources. A team led by a national coordinator took charge of data collection from various partner organizations in each country.