This paper draws lessons from selected country experiences of adaptation and innovation in pursuit of food security goals.
This policy note, Environmental Management for a Sustainable Economic Development Strategy for Nanggroe Aceh Darussalam, investigates six environmental management topics which will affect the capacity of the province to develop the economy and need to be underpinned by strong environmental and natural resource management. The six topics cover: agriculture, forestry, fisheries, land and water, environmental law and regulations, and spatial planning.
This booklet is the third in the CIAT in Asia Research for Development series. It was based on the experiences of researchers and farmers working with the AusAID-funded Forages for Smallholders Project (FSP) in Southeast Asia from 1995 to 1999. This project was a partnership of smallholder farmers, development workers and researchers who were using participatory approaches to developing forage technologies on farms.
Aujourd’hui encore, les forêts restent un enjeu vital. Ceci alors que le développement accéléré de beaucoup de régions provoque une pression croissante sur les écosystèmes forestiers. Parc Yasuni en Equateur, parc national des Virunga en RDC, ou plus largement forêts tropicales au Brésil ou en Indonésie, on peut multiplier les exemples de conflits socio-environnementaux où la question de l’utilisation et de la propriété des ressources forestières est l’objet de luttes féroces entre populations indigènes, ONG environnementales, multinationales et gouvernements, etc.
This document is accompanyng the volume Public Agricultural Research in an Era of Transformation: The Challenge of Agri-Food System Innovation (available in TAPipedia here), which provides some of the groundwork in answering the question of how the CGIAR system and other public agricultural research organisations should adapt and respond to an era of transformation framed by the SDGs.
Innovation intermediaries are individuals and organisations that enhance connectivity amongst constituencies of national, sectoral, and regional systems of innovation, thereby facilitating knowledge spillover. This paper articulates the whole picture of Indonesia's agricultural innovation system, with a special focus on how different innovation intermediaries play different roles in technology transfer and knowledge dissemination.
Participation is connected to technology through the notion of innovation systems. To make the connection work, it is argued, the focus has to shift from a framing of participation in terms of democratic entitlement to a framing in terms of the settlement of issues (i.e. politics from below), The innovation system is an appropriate notion to see where issues are likely to lock on to processes of technological change.
Agricultural information is transferred through social interactions; therefore, ties to agricultural informants and network structures within farmers’ local neighborhoods determine their information-gathering abilities. This paper uses a spatial autoregressive model that takes account of spatial autocorrelation to examine such network connections, including friendship networks and advice networks, upon farmers’ knowledge-gathering abilities during formal agricultural training.
This note presents an outline of the main strands of the innovation systems research associated with the ARISA project. It begins by locating this in the current discourse on concepts and policy perspectives on innovation and capacity building before setting out key areas of research inquiry and research activities
This study aims to determine the factors that influence group dynamics, and to find out whether there is a relationship between agricultural extension programs to farmer group dynamics. Data analysis method used is a Likert Scale and analyzed descriptively qualitatively. The results showed that the dynamics of the Sri Makmur Farmers Group were categorized as Less Dynamic. This is because the elements of the farmer group dynamics are not going well. Based on the results of a Likert Scale Research with Spearman Rank Correlation obtained a value of 0.221 at a confidence level of 95% (α 0.05).