The markets and value chains approach has recently become fashionable in agricultural development interventions. So too have innovation platforms. This brief shows how innovation platforms can be a useful vehicle to promote market development. It is available in Chinese, English, Hindi, Thai and Vietnamese.

This is the first chapter of the book "Innovation platforms for agricultural development: Evaluating the mature innovation platforms landscape". It introduces the background, case study competition process, case study characterization and readers’ guide, and book outline. Characterization of the case studies includes their geographical spread, age and life stage of the platforms, and specific information on the multi-stakeholder processes, the content matter, platform support functions, and outcomes and impacts.

This is a chapter of the book Innovation platforms for agricultural development edited by Iddo Dror, Jean-Joseph Cadilhon, Marc Schut, Michael Misiko and Shreya Maheshwari.

As part of the Capacity Development for Agricultural Innovation System Project (CDAIS) a Policy Dialogue process is being implemented in the 8 pilot countries.

The purposes of the Policy Dialogue is to contribute to the improvement of the process of development or implementation of policies that promote agricultural innovation through improved dialogue and interaction among key stakeholders and, ultimately to contribute to the enhancement of the enabling environment for agricultural innovation.  

These guidelines have been elaborated by the CDAIS project to organize policy consultations at national level. In particular, they can be used by project teams (e.g. project managers, facilitators, policy consultants) for the planning of national policy dialogue events to discuss policy related issues emerged during the local consultations at innovation partnership level and require attention of national policy makers.

These guidelines have been elaborated by the CDAIS project to organize policy consultations at innovation partnership level. They can be used by project teams (e.g. project managers, facilitators, policy consultants) to plan and conduct workshops with representatives of the innovation partnership to discuss policy related issues that hinder the innovation process in a particular partnership.

This flyer aims at promoting TAPipedia: developed within the context of Tropical Agriculture Platform (TAP), it is an information sharing system designed to enhance knowledge exchange in support of Capacity Development (CD) for Agricultural Innovation Systems (AIS). TAPipedia aims to be a global information system for good CD practices, innovation outputs, success stories and lessons learned.

The Synthesis Document, here in its Hindi version, provides a synthesis of concepts and principles of the Common Framework developed under the Tropical Agriculture Platform (TAP). The objective of the TAP Common Framework is to promote better coherence and greater impact of capacity development in support of agricultural innovation in the Tropics. Developed in 2015 through a highly participatory process, it was agreed that the Framework should provide conceptual underpinnings and practical guidance.

Innovation Platforms (IPs) have become a popular vehicle in agricultural research for development (AR4D). The IP promise is that integrating scientific and local knowledge results in innovations that can have impact at scale. Many studies have uncovered how IPs work in various countries, value chains and themes. The conclusion is clear: IPs generate enthusiasm and can bring together stakeholders to effectively address specific problems and achieve ‘local’ impact.

This paper reportson the implementation of a conceptual framework to carry out an impact evaluation of multi-stakeholder innovation systems using the NLA as the object of study. The assessment focused on the business relationship constructs of trust and capacity development. Survey interviews, in-depth interviews and focus group discussions collected data from agribusiness stakeholders linked with the NLA and from a control group of stakeholders involved with other networks. The quantitative data were analysed through factor and regression analyses