This policy brief sets out the conceptual and empirical underpinnings of a learning-orientated monitoring and evaluation approach known as Institutional Learning and Change (ILAC) and discusses options for learning-oriented interventions and policy research.
This paper identifies the stakeholders of System of Rice Intensification (SRI), their roles and actions and the supporting and enabling environment of innovation in the state as the elements of the Agricultural Innovation Systems (AIS) in SRI in Tripura state of India and studies the relationship matrix among the stakeholders. Methodology: A descriptive research design was followed to study the agricultural innovation system in SRI.
This paper draws lessons from selected country experiences of adaptation and innovation in pursuit of food security goals.
This paper, using Thailand as a case study, aims at understanding the national innovation system (NIS) in developing countries which are less successful in technological catching-up. In contrast to developed countries, the development level of Thailand’s NIS does not link to its economic structural development level. As Thailand moves from agricultural to an increasingly industrial economy, its NIS remains weak and fragmented. The mismatch between the two affected Thailand’s competitiveness and partially contributed to the recent economic crisis.
LenCD has prepared a joint statement on results and capacity development (presented in this publication), which stresses that meaningful, sustainable results are premised on proper investments in capacity development and that these results materialize at different levels and at different times, along countries’ development trajectory. To provide evidence in support of this statement, LenCD launched a call for submission of stories.
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.
This report compiles country-reports that describe the agri-food research landscape in 2006/2007 in 33 countries associated to the 6th Framework Programme (FP6), which defined the European for the period from 2002 to 2006. Each country-report presents information about the main research players in 2006/2007 and about the current trends and the future needs for research topics and for the organisation of the agri-food research system.
This document provides a review of existing reports regarding the agri-food research landscape in 2006/2007 for 14 EU countries (Bulgaria, Croatia, Cyprus, Czech Republic, Estonia, Hungary, Latvia, Lithuania, Malta, Poland, Romania, Slovakia, Slovenia, Turkey) and also explores trends and needs in other EU or associated countries (Austria, Belgium, Denmark, Finland, France, Germany, Greece, Iceland, Ireland, Israel, Italy, Luxembourg, Norway, Portugal, Spain, Sweden, Switzerland, The Netherlands, United Kingdom).
This report presents the results of a study that shall contribute to provide information on the national organisation of agricultural research and an overall picture of developments in agricultural research in 33 selected countries (current EU28 plus Iceland, Israel, Norway, Switzerland and Turkey). The study covers all areas related to agricultural and food research research including research dedicated to emerging challenges of the European agricultural and food sector in 2006/2007.
The ‘Mapping Report’ is the synthesis of the statistical information and the survey results available to describe agrifood research in European countries. The main source of information was the results of a bibliometric analysis (in the EU-33 countries), a web-assisted survey (in the EU-12+2 countries) and the country reports (for the EU-15 countries) prepared in the AgriMapping project frame in 2006 and 2007. When relevant, available complementary statistics were also used.