This study assessed intermediate results of an investment intended to support climate change adaptation and resilience-building among farmers’ cooperatives in Rwanda. The assessment was based on a purposive sampling survey of farmers’ perspectives conducted in sites in 10 programme intervention districts of the country’s 30 districts.
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.
Since 1981, IFAD has financed 19 rural development programmes and projects in Rwanda, for a total amount of US$358.04 million, and directly benefiting about 1,540,157 rural households. The IFAD country programme has contributed significantly to improving incomes and food security in rural areas, particularly through watershed development, increased production in marshland and hillsides, development of livestock and export crops, and support for cooperatives and rural enterprises. IFAD also supports the government in mainstreaming climate resilience.
The United Nations predicts that we need to increase food production globally by 70 percent to feed 9.6 billion people by 2050. But at the same time, given the climate crisis, we need to significantly reduce the use of energy, water, and land needed to produce food and lower its carbon footprint. In other words, we must figure out how to produce and distribute more food using fewer resources and emissions. We must learn to do farming better with less.
Agricultural water management is a vital practice in ensuring reduction, and environmental protection. After decades of successfully expanding irrigation and improving productivity, farmers and managers face an emerging crisis in the form of poorly performing irrigation schemes, slow modernization, declining investment, constrained water availability, and environmental degradation. More and better investments in agricultural water are needed.
Many experts believe that low-cost mitigation opportunities in agriculture are abundant and comparable in scale to those found in the energy sector. They are mostly located in developing countries and have to do with how land is used. By investing in projects under the Clean Development Mechanism (CDM), countries can tap these opportunities to meet their own Kyoto Protocol obligations. The CDM has been successful in financing some types of agricultural projects, including projects that capture methane or use agricultural by-products as an energy source.
The overall objective of the Comprehensive Assessment of the Agricultural Sector (CAAS) is to provide an evidence base to enable appropriate strategic policy responses by the Government of Liberia (GoL) and its development partners in order to maximize the contribution of the agriculture sector to the Government's overarching policy objectives. Given the strong relationship between growth in agricultural productivity and poverty reduction, future efforts in Liberia need to focus on productivity enhancing measures with a pro-poor focus that increase incomes.
Agriculture is among the most risk-prone sectors in the economies of Central Asia. Production shocks from weather, pests and diseases and adverse movements in agricultural product and input prices not only impact farmers and agri-business firms, but can also strain government finances. Some of these risks are small and localized and can be managed by producers. Others are the result of more severe, exogenous shocks outside agriculture that require a broader response.
This new Africa Region Sustainable Development Series aims to focus international attention on a range of topics, spur debate, and use robust, evidence-based, informed approaches to advance policy dialogue and policy-making. This new Series synthesizes a large body of work from disparate sources, and uses simple language to convey the findings in an easily-digestible format. Ultimately, we want to seed solutions that can help accelerate the fight to end poverty in Africa.
How much do poor rural households rely on environmental extraction from natural ecosystems? And how does climate variability impact their livelihoods? This paper sheds light on these two questions with household income data from the Poverty and Environment Network pantropical data set, combined with climate data for the