The relationships between agriculture, the environment, and development are deep and complex. By 2050 a 70 per cent increase in production will be needed to feed an additional 2.7 billion people on an already degraded natural resource base. In light of this and amid the realities of climate change, the agricultural sector is now coming to terms with its potential role for contributing to – rather than diminishing - environmental, institutional, social and economic resilience.
Le secteur agricole joue un rôle primordial au sein de la Communauté économique des États d’Afrique de l’Ouest (CEDEAO). En tant que pilier de l’économie, il touche à la vie de la société à plusieurs niveaux, dans la mesure où les économies nationales et les emplois, les revenus et la sécurité alimentaire des populations en dépendent.
This working paper summarizes the findings of a portfolio review conducted to explore the gender and youth responsiveness of climate-smart agriculture technologies tested across climate-smart villages. The innovative and integrative aspect of the Climate-Smart Village (CSV) approach can provide useful insights into how to decrease the gender gap in the context of climate change.
Participatory action research (PAR) has been around for years, and can add significant value to agriculture research for development projects. The use of PAR in climate-smart villages (CSVs) is no different. This review aimed to assess the impact that PAR approaches had on the adoption of CSA practices and technologies, with an emphasis on gender and social inclusion. Through a portfolio review, interviews with regional CSV teams, and surveys sent to local partners, this report demonstrates the benefit of PAR use in the implementation of the CSV approach.
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.
This publication comprises 24 full papers/abstracts presented at the “High Level Policy Dialogue on Investment in Agricultural Research for Sustainable Development in Asia and the Pacific” (Bangkok, 8-9 December 2015).
This is an internal document for the phase I of CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS). The phase II capacity development strategy can be found here: https://hdl.handle.net/10568/82591. Capacity enhancement is a central priority for CCAFS.
Los artículos reunidos en este volumen se basan en las ponencias presentadas por los expertos que participaron en el seminario internacional “Políticas para la agricultura en América Latina y el Caribe: competitividad, sostenibilidad e inclusión social”, realizado en la sede de la Comisión Económica para América Latina y el Caribe (CEPAL) en Santiago los días 6 y 7 de diciembre de 2011.
Given the diversity and context-specificity of innovation systems approaches, in March 2007 the World Bank organized a workshop in which about 80 experts (representing donor agencies, development and related agencies, academia, and the World Bank) took stock of recent experiences with innovation systems in agriculture and reconsidered strategies for their future development. This paper summarizes the workshop findings and uses them to develop and discuss key issues in applying the innovation systems concept. The workshop’s recommendations, including next steps for the wider