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Searching with a thematic focus on Poverty in Kenya
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Progress in making urban development sustainable
id21 Development Research Reporting Service, 2008A modern city can only be truly successful if it can demonstrate its commitment to protecting the environment. Officials must recognise the city’s natural assets, create efficient water, energy and transport infrastructure and protect its citizens against the impacts of climate change.DocumentAdapting to flood risks in urban Africa
id21 Development Research Reporting Service, 2008Volatile weather patterns are increasingly affecting urban slums in Africa. Climate change is already aggravating urban flooding. When floods occur, residents of marginalised areas have only a limited set of options. They need urgent help to reduce risk and improve prospects for emergency action and safe evacuation.DocumentCutting edge: how community forest enterprises lead the way on poverty reduction and avoided deforestation
International Institute for Environment and Development, 2007Forests are not just crucial for keeping the global environment stable; they are also a lifeline for hundreds of millions of the world's poor. This paper presents community forest enterprise as a possible solution, which combines both avoided deforestation (the concept of richer nations paying poorer ones to halt planned logging) and poverty reduction.DocumentSubjective assessments, participatory methods and poverty dynamics: the Stages-of-Progress method
Chronic Poverty Research Centre, UK, 2007The Stages-of-Progress methodology helps examine why households move out of and into poverty. This paper presents the methodology, briefly discussing some results from case studies carried out in diverse communities of India, Kenya, Uganda, Peru and the USA.DocumentRegoverning markets programme: innovative practice series
International Institute for Environment and Development, 2007Rapid changes are taking place in agri-food markets in middle and low-income countries and small-scale agriculture, which supports the livelihoods of the majority of rural poor, is poorly prepared for these changes.DocumentAddressing the employment-poverty nexus in Kenya: comparing cash-transfer and job-creation programmes
International Policy Centre for Inclusive Growth, 2007What is the link between employment and poverty reduction in Kenya? This paper examines unemployment, underemployment, employment and labour earnings, and the relationship of all these with poverty. Based on an analysis of a Labour Force Survey, the author finds that:DocumentBoda-bodas rule: non-agricultural activities and their inequality implications in western Kenya
GIGA Deutsches Orient-Institut / GIGA German Institute for Middle East Studies, 2007Engagement in non-agricultural activities in rural areas can be classified as survival-led (decreasing inequality) or opportunity-led (increasing inequality). In this article the authors confirm the existence of the differently motivated diversification strategies in Western Kenya.DocumentSecuring household income among small-scale farmers in Kakamega District: possibilities and limitations of diversification
GIGA Deutsches Orient-Institut / GIGA German Institute for Middle East Studies, 2007This paper examines the argument presented in the sustainable rural livelihoods literature that diversification can increase incomes and food security. The case of small-scale farmers in Kakamega District, Kenya is applied. Using this approach, the paper concludes that:DocumentTransient and chronic rural household poverty: evidence from Kenya
Poverty and Economic Policy Network, 2007This article serves as a toolkit for policy makers addressing transient and chronic poverty in Kenya. It urges that poverty targeting criteria must take into account household sizes, gender of household head, dependency ratios, farm sizes, education attainment and geographic characteristics.DocumentCommunity wealth-ranking and household surveys: an integrative approach
Q-Squared: Combining Qualitative and Quantitative Approaches in Poverty Analysis, 2007This paper focuses on the use of information from wealth ranking exercises in conjunction with data collected from household surveys. An analytical framework was examined by using data collected from rural areas of four eastern Africa countries. It is argued that the relative visibility of resources helps explain the weights given to different types of resources in wealth ranking exercises.Pages
