The purpose of this paper is to summarize the challenges and the practical successes that a selected number of countries are experiencing in moving towards 'climate-smart' agriculture while also meeting the food requirements of a growing population, broader economic development and green growth objectives. It complements papers prepared in 2010 on technologies and policy instruments, research, and farmers' perspectives.
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 study was commissioned by the Advisory Service on Agricultural Research for Development of the Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) and was carried out in cooperation with GIZ Western Kenya and the International Centre for Tropical Agriculture in Nairobi. Overall objective of the study was to design a strategy and make recommendations for locally adapted climate smart agriculture (CSA) tailored to smallholder needs in Western Kenya. This included the production of practical policy and technical guidance material.
Index-Based Livestock Insurance (IBLI) is the world’s first index-based insurance designed to protect vulnerable pastoralists in drought-stricken areas from losing their primary asset—livestock. This case study demonstrates the opportunities and challenges emerging from the IBLI project. It explains the need to establish the product in locations with large vulnerable pastoralist populations and encourages students to consider and develop an IBLI growth strategy.
La conférence sur « Agriculture écologique : atténuer le changement climatique, assurer la sécurité alimentaire et l’autonomie pour les sources de revenus ruraux en Afrique » s’est tenue à Addis – Abéba (Ethiopie) du 26 au 28 novembre 2008.
This brief draws on three cases to show how the private sector contributes to the conceptualisation, design, delivery and evaluation of climate-smart agricultural interventions and can help bring them to scale. Engaging the private sector in CSA interventions enhances the applicability – and thus the sustainability of interventions, increases uptake and delivers a triple win for donors, beneficiaries and the private sector.
In Yatta sub-County, a semi-arid land, there is scanty information on the causes and effects of climate change, as well as agricultural adaptation strategies. This scanty information assessment of climate related risks, and decision making about appropriate adaptation measures. A survey was conducted in two wards of Yatta, Kenya, to identify opportunities for building farmer capacity in dealing with climate variability.
This paper comparatively analyzes the structure of agricultural policy development networks that connect organizations working on agricultural development, climate change and food security in fourteen smallholder farming communities across East Africa, West Africa and South Asia.
This report, drawing on a rapid desk-based review, seeks to outline the potential role of Afican Advisory Services (AAS) in addressing climate change and explores how far AAS in sub-Saharan Africa (SSA) are able to respond to climatic and other pressures. Recommendations are outlined, indicating how AFAAS can help AAS to understand climate change better and become more ‘adaptive’ in their responses
At present, agricultural policies in Kenya often ignore specific target groups because there is a lack of contextual information on farmers’ specific socio-economic conditions. The aim of this study was to fill this knowledge gap by answering the following research questions: 1. What determines the adaptive capacity of AIV farmers in Kenya? 2. How does access to capital assets differ by farming household characteristics and between the selected areas? 3. What are the AC levels of AIV farmers in the selected zones of Kenya? 4.