The Kenya agricultural carbon project is breaking new ground in designing and implementing climate finance projects in the agricultural sector. The project is regarded as an innovative example for climate-smart agriculture within and outside the World Bank. For the first time, while increasing productivity and enhancing resilience to climate change, smallholder farmers in Africa will receive payments for greenhouse gas mitigation based on sustainable agricultural land management. Quantification of carbon sequestration is monitored based on a newly developed carbon accounting methodology.
The working paper presents a new toolkit for the implementation of a participatory vulnerability assessment (PVA) in rural localities, by introducing the methodology, as well as the findings, from a pilot study in Sokoine (Zepisa, Hombolo Ward) in Tanzania. It is based on a participatory methodological approach and follows a multidimensional conceptualisation of social vulnerability to climate change.
The Climate Change and Social Learning (CCSL) Initiative is a cross-organisation group working to build a body of evidence on how social learning methodologies and approaches contribute towards development targets. Together with a select number of participating initiatives from a variety of organisations, we are working towards establishing a common monitoring and evaluation (M&E) framework for new projects and programmes using a social learning-oriented approach.
La complexité des facteurs de la migration rurale en ASS rend impossible la prévision du nombre de personnes qui migreront et pourquoi, ni qui elles seront, ni où elles iront. Pourtant, il est possible d’explorer comment ce système complexe de forces interdépendantes pourrait évoluer, de prendre des décisions proactives et d’agir pour construire le futur. Il est peu probable que les migrants ruraux d’ASS soient dans une position favorable pour émigrer hors d’Afrique, ce qui pose un grand défi pour la prospérité future du continent : migration par nécessité ou par choix ?
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.
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 paper illustrates the Small Stock Innovation Platform, an initiative which is one of the key tangible outcomes of the Strengthening Capacity in Agricultural Research for Development in Africa (SCARDA) program, focused on strengthening capacity in agricultural research systems in selected countries and institutions in all three sub-regions of Sub Saharan Africa.
This article reviews the approaches proposed by SCARDA to address capacity strengthening for research management, how implementation took place and the lessons learned from the implementation activities. It begins with an overview of the intended project outputs and approach to capacity strengthening, followed by the implementation processes as undertaken in each sub-regional organisation and finishes with the lessons learned.