8 resultados para poverty reduction

em BORIS: Bern Open Repository and Information System - Berna - Suiça


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This study compares monetary and multidimensional poverty measures for the Lao People’s Democratic Republic. Using household data of 2007/2008, we compare the empirical outcomes of the country’s current official monetary poverty measure with those of a multidimensional poverty measure. We analyze which population subgroups are identified as poor by both measures and thus belong to the category of the poorest of the poor; and we look at which subgroups are identified as poor by only one of the measures and belong either to the category of the income-poor (identified as poor only by the monetary measure) or to that of the overlooked poor (identified as poor only by the multidimensional poverty measure). Furthermore, we examined drivers of these differences using a multinomial regression model and found that monetary poverty does not capture the multiple deprivations of ethnic minorities, who are only identified as poor when using a multidimensional poverty measure. We conclude that complementing the monetary poverty measure with a multidimensional poverty index would enable more effective targeting of poverty reduction efforts.

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Funds for poverty reduction are limited, so allocating them effectively is important in development planning. A common way to do this is to plot the distribution of poor people on maps, and then to target poverty-alleviation efforts at areas with the largest incidences of poverty. But this is a crude approach that risks missing a large share of the poor. This issue of evidence for policy shows how careful analysis of detailed spatial information – in this case in Laos – can reveal patterns that are not immediately obvious. That can lead to better, more precise targeting well beyond a purely geographic focus on poor areas, and to more differentiated and spatially integrated development planning.

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Access and accessibility are important determinants of people’s ability to utilise natural resources, and have a strong impact on household welfare. Physical accessibility of natural resources, on the other hand, has generally been regarded as one of the most important drivers of land-use and land-cover changes. Based on two case studies, this article discusses evidence of the impact of access to services and access to natural resources on household poverty and on the environment. We show that socio-cultural distances are a key limiting factor for gaining access to services, and thereby for improved household welfare. We also discuss the impact of socio-cultural distances on access to natural resources, and show that large-scale commercial exploitation of natural resources tends to occur beyond the spatial reach of socio-culturally and economically marginalised population segments. We conclude that it is essential to pay more attention to improving the structural environment that presently leaves social minority groups marginalised. Innovative approaches that use natural resource management to induce poverty reduction – for example, through compensation of local farmers for environmental services – appear to be promising avenues that can lead to integration of the objectives of poverty reduction and sustainable environmental stewardship.

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Swidden cultivators are often found as a distinct category of farmers in the literature, but rarely appear in population censuses or other national and regional classifications. This has led to a worldwide confusion on how many people are dependent on this form of agriculture. The most often cited number of 200–300 million dates back to the early 1970s, but the source is obscure. We assess available, published data from nine countries in Southeast Asia and conclude that on this basis it is not possible to provide a firm estimate of the number of swidden cultivators in the region. A conservative range of 14–34 million people engaged in swidden cultivation in the region is suggested, however. We argue that along with improved knowledge of swidden livelihoods, there is an urgent need to develop techniques that will allow for better estimates of swidden populations in order to secure appropriate rural development and poverty reduction in swidden areas.

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The European Union’s (EU) trade policy has a strong influence on economic development and the human rights situation in the EU’s partner countries, particularly in developing countries. The present study was commissioned by the German Federal Ministry for Economic Cooperation and Development (BMZ) as a contribution to further developing appropriate methodologies for assessing human rights risks in development-related policies, an objective set in the BMZ’s 2011 strategy on human rights. The study offers guidance for stakeholders seeking to improve their knowledge of how to assess, both ex ante and ex post, the impact of Economic Partnership Agreements on poverty reduction and the right to food in ACP countries. Currently, human rights impacts are not yet systematically addressed in the trade sustainability impact assessments (trade SIAs) that the European Commission conducts when negotiating trade agreements. Nor do they focus specifically on disadvantaged groups or include other benchmarks relevant to human rights impact assessments (HRIAs). The EU itself has identified a need for action in this regard. In June 2012 it presented an Action Plan on Human Rights and Democracy that calls for the inclusion of human rights in all impact assessments and in this context explicitly refers to trade agreements. Since then, the EU has begun to slightly adapt its SIA methodology and is working to define more adequate human rights–consistent procedures. It is hoped that readers of this study will find inspiration to help contribute to this process and help improve human rights consistency of future trade options.

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This paper presents an indicator for measuring multidimensional poverty in the Lao People’s Democratic Republic applying the Alkire–Foster methodology to the Lao Expenditure and Consumption Survey 2002/2003 and 2007/2008. We calculated a multidimensional poverty index (MPI) that includes three dimensions: education, health, and standard of living. Making use of the MPI’s decomposability, we analyse how much each of the different dimensions and its respective indicators contribute to the overall MPI. We find a marked reduction in the multidimensional poverty headcount ratio over the study period, regardless of how the indicators are weighted or how the deprivation and poverty cut-offs are set. This reduction is based on improvements regarding all indicators except cooking fuel and nutrition. We observe no significant reduction in the intensity of poverty, however; there are wide disparities between the country’s regions and between urban and rural areas. The proportion of poor people in rural areas is more than twice as high as that in urban areas. By complementing the traditional income-based poverty measure, we hope to provide useful information that can support knowledge-based decision-making for poverty alleviation.