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.
Presented at the ‘Building Livelihoods Resilience in a Changing Climate’ conference, Kuala Lumpur, 3-5th March 2011, this paper focuses on the Local Adaptive Capacity framework (LAC), developed under the Africa Climate Change Alliance Project (ACCRA), as an innovative initiative that attempts to move towards a better understanding of its core features through isolating five characteristics of adaptive capacity. Demonstrated through findings from field research across three African countries (Ethiopia, Mozambique and Uganda), this paper argues that frameworks for understanding and supporting
Technological innovations have driven economic development and improvement in living conditions throughout history. However, the majority of smallholder farmers in sub‐Saharan Africa have seldom adopted or used science‐based technological innovations. Consequently, several scholars have been persistently questioning the effectiveness of intervention models in smallholder agriculture.
Globalization, urbanization and new market demands - together with ever-increasing quality and safety requirements - are putting significantly greater pressures on agrifood stakeholders in the world. The ability to respond to new challenges and opportunities is important not just for producers but also for industries in developing countries. This paper aims to present what "innovation response capacity" entails, especially for natural resourcebased industries in a developing country context.
Postharvest loss exacerbates the food insecurity and welfare loss of farming households in developing countries. This paper analyses the effect of improved storage, a climate-smart crop management technology, on household food and nutrition security, market participation and welfare using nationally representative data from Ethiopia. Endogenous switching regression models are employed to control for selection bias and unobserved heterogeneity.
El presente documento "Innovación Comercial en la Agricultura Familiar: necesidades de fortalecimiento y situación de la institucionalidad de apoyo en el Perú" se realizó bajo el marco del proyecto "Innovaciones institucionales para el apoyo a la gestión de procesos comerciales de la Agricultura Familiar y su vinculación con los mercados", cuyo objetivo principal es de mejorar las condiciones y posibilidades de acceso a los mercados de la agricultura familiar y la pequeña agroindustria local.