This paper analyses intermediary organisations in developing economy agricultural clusters. The paper critically engages with a growing narrative in studies of intermediaries that have stressed the ownership structure of intermediaries as a key driver for enabling knowledge transfer, inter-firm learning and upgrading of small producers in clusters. Two case studies of Latin American clusters are presented and discussed.
This guide is intended to assist facilitators in conducting a workshop with Extension and Advisory Service (EAS) providers for assessing their capacity needs. This guide has been compiled by the Centre for Research on Innovation and Science Policy (CRISP) for AESA with the assistance of a research grant from the Global Forum for Rural Advisory Services (GFRAS).
In theory, under the federal structure agricultural extension services can serve communities better as it aims to be client responsive and accountable to its consumers at the village level. However, poor understanding of federalism that has only recently emerged from the persisting centralized and feudal conceptions, limited practices of democratic norms and values primarily due to the lack of understanding of local governance, and limited commitment of political actors and policy makers to federalism, may derail the good intentions behind federalism.
In early 2020, GFRAS provided support to the Agricultural Extension in South Asia (AESA) Network and the Bangladesh Agricultural Extension Network (BAEN) in order to customize one of the NELK Modules in the context of Bangladesh. The BAEN Executive Committee selected the GFRAS NELK Module 7 on ‘Facilitation for Development’ for customization. AESA and BAEN jointly implemented the development of the customized module for Bangladesh. The process of customization consisted of five phases spread over a span of six months.
Undertaking Capacity Needs Assessment (CNA) is critical for organizing appropriate capacity development interventions. AESA organised four workshops on CNA of EAS in India, Sri Lanka, Bangladesh and Nepal with the following objectives.
1. Identify capacity gaps among EAS providers
2. Finalise a methodology for undertaking capacity needs assessment.
This article proposes ways to use programme theory for evaluating aspects of programmes that are complicated or complex. It argues that there are useful distinctions to be drawn between aspects that are complicated and those that are complex, and provides examples of programme theory evaluations that have usefully represented and address both of these.
This article applies a historical analysis of the progressive development and complexity of Malawi’s diary innovation system through phased emphasis on technological, organizational and institutional development to illustrate the centrality of smallholder dairy farmers in the innovation system. A social network analysis is applied to assess the influence of smallholder farmers on other actors. The existence and growth of the diary innovation system in Malawi is founded on the resilience of smallholder dairy farmers to produce milk.
Recently, Agricultural Knowledge and Innovation Systems (AKISs) have gained considerable attention in scientific and political forums in the European Union (EU). AKIS is considered a key concept in identifying, analysing and assessing the various actors in the agricultural sector as well as their communication and interaction for innovation processes. Using qualitative expert interviews and organizational mapping, the features of national AKISs were investigated in selected EU member states (Belgium, France, Ireland, Germany, Portugal and the UK).
Consumer concerns are leading to changes in China’s food markets and demands for higher quality food. In this article, we explore the role of farmer cooperatives in China in linking farmers with high-quality food markets. We consider food quality a social construct and farmer cooperatives key players in the ‘quality battlefield’. Using a case study approach, we investigate the everyday practices of three farmer cooperatives.
The concept of technology adoption (along with its companions, diffusion and scaling) is commonly used to design development interventions, to frame impact evaluations and to inform decision-making about new investments in development-oriented agricultural research. However, adoption simplifies and mischaracterises what happens during processes of technological change. In all but the very simplest cases, it is likely to be inadequate to capture the complex reconfiguration of social and technical components of a technological practice or system.