This paper synthesizes Component 2 of the Regoverning Markets Programme. It is based on 38 empirical case studies where small-scale farmers and businesses connected successfully to dynamic markets, doing business with agri-processors and supermarkets. The studies aimed to derive models, strategies and policy principles to guide public and private sector actors in promoting greater participation of small-scale producers in dynamic markets. This publication forms part of the Regoverning Markets project.
Este texto analiza de manera crítica las políticas de la biotecnología agrícola y el proceso social de construcción de posturas en torno a la regulación de los organismos genéticamente modificados (OGM) en Canadá y México desde la perspectiva de la gobernanza de la ciencia y tecnología, que se centra en la interacción entre política, ciencia y sociedad.
This article presents programmatic lessons on scaling up research for development innovations that were implemented through the Canadian International Food Security Research Fund (CIFSRF). Co-funded by the International Development Research Center (IDRC) and Global Affairs Canada (GAC), CIFSRF was a nine-year, two-phased program (2009–2018) that supported applied research to develop, test and scale proven food and nutrition security innovations. The outline of this paper is as follows.
This paper presents the results of an exploratory case-study analysis of a corn stover value-chain development process in two regions: Ontario (Canada) and Flanders (Belgium). Applying an integrated analytical framework and comparing the results with literature, we identified a number of barriers for novel value-chain development and state seven concrete actions that value-chain actors can take to overcome these barriers.
Situate within new institutionalism literature, this paper builds a complex system model of institutional analysis for adaptive governance. This model combines Young’s institutional environmental analysis method, elements of subsequent environmental governance projects models, and ideas of multiple institutional levels and drivers. By applying the model, policy instruments are identified that build agricultural producer livelihoods improving their adaptive capacity to respond to climate change and drought.
There has been an increasing interest in science, technology and innovation policy studies in the topic of policy mixes. While earlier studies conceptualised policy mixes mainly in terms of combinations of instruments to support innovation, more recent literature extends the focus to how policy mixes can foster sustainability transitions.
The research programme URBAL (Urban-driven Innovations for Sustainable Food Systems) (2018–2020), funded by Agropolis Fondation (France), Fondation Daniel & Nina Carasso (France/Spain), and Fundazione Cariplo (Italy), and coordinated by CIRAD (France) and the Laurier Center for Sustainable Food Systems at Wilfrid Laurier University (Canada), seeks to build and test a participatory methodology to identify and map the impact pathways of urban-driven innovations on all the dimensions of food systems sustainability.
This study provides a model that supports systematic stakeholder inclusion in agricultural technology. Building on the Responsible Research and Innovation (RRI) literature and attempting to add precision to the conversation around inclusion in technology design and governance, this study develops a framework for determining which stakeholder groups to engage in RRI processes. We developed the model using a specific industry case study: identifying the relevant stakeholders in the Canadian digital agriculture ecosystem.
Le présent rapport devrait, grâce à tous les éléments analysés, aider les décideurs et l’ensemble des acteurs du secteur agricole dans leur prise de décision quant à l’utilisation et à la gestion des nouvelles technologies numériques en agriculture avec comme objectif afin de s’assurer que cette industrie demeure très compétitive.
This article extends social science research on big data and data platforms through a focus on agriculture, which has received relatively less attention than other sectors like health. In this paper, I use a responsible innovation framework to move attention to the social and ethical dimensions of big data “upstream,” to decision-making in the very selection of agricultural data and the building of its infrastructures.