1,891 research outputs found

    An update of ‘The Neglected Crisis of Undernutrition: Evidence for Action’

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    Working on Disability in Country Programmes

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    [Excerpt] The World Bank estimates that 20% of the world’s poorest people are disabled. This means that disabled people comprise one of the largest single groups of excluded and chronically poor people in the developing world. Challenging exclusion is central to reducing poverty and meeting the MDGs. So promoting the inclusion, rights and dignity of disabled people is central to poverty reduction and to achieving human rights

    Designing and implementing a communications strategy: lessons learnt from HIV and Sexual and Reproductive Health Research Programme Consortia.

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    In recent years there has been increasing recognition of the importance of strategic research communication. Health research organisations need to be able to communicate their research effectively to increase the probability that the findings influence policy and practice, and benefit those in greatest need. Many research funders are making communications a requirement of research funding. This paper reflects on the experience in developing and implementing communications strategies of several Research Programme Consortia funded by the Department for International Development.Different research topics will require different communications approaches in order to be effective. This is reflected in the diversity of strategies employed by different research programmes. Strategic research communications designed to influence policy and practice require different skills and expertise from those required for carrying out research and writing it up for publication in academic journals. Therefore researchers involved in communicating research should be supported in this work. One of the ways in which research programme consortia have sought to do this is through convening workshops to develop the communications skills of researchers from partner organisations. These have proven invaluable. Another way of providing ongoing support to those involved in communicating research is through a Communications Community of Practice. Where this has been used it has proven a good way to support researchers both with ideas and resources, but also a strong sense of belonging to a community that shares a common concern with communication. Developing strong partnerships with research users, other research organisations, knowledge intermediaries and other stakeholders is vital for effective communication.Embracing the challenges and opportunities presented by communicating research to influence policy practice is vital if research is to have maximum possible impact, and demonstrate its worth at a time when funding for health and development activities is at risk. Sharing lessons learnt in this process between research programmes is important to support this work

    Macro and Micro Impacts of Structural Reforms in Papua New Guinea: A Computable General Equilibrium Analysis

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    The Papua New Guinea economy has been subjected to a series of external shocks, starting with the Bougainville war in 1989. The government has responded with a series of structural reforms, with the most recent one being implemented in 2000. This paper employs a computable general equilibrium model to evaluate the impacts of the government's reform policies. Policies simulated are reduction in current government expenditure, reduction in real wages, tariff cuts and a goods and services tax. The results show that the export-oriented and government sectors benefit. However, the service sectors are adversely affected. While the rural population could benefit from the reforms, a case is made for increased government investment spending in these areas to stem the rural-urban drift

    Foreign Aid Transaction Costs: What are they and when are they minimised?

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    'Transaction costs' are commonly referred to in the recent literature on aid effectiveness. Aid transaction costs, however, have been neither consistently defined nor measured. This article defines aid transaction costs as all the economic costs associated with aid management that add no value to aid delivery. This enables the 'net' transaction costs that should be minimised to be identified. An analytical framework is then developed for assessing these costs. This allows the effectiveness of different aid modalities to be compared, according to the characteristics of the aid transaction. The article shows that the choice of aid modality should depend on these characteristics and, therefore, that the minimisation of transaction costs should not be an end in itself.Peer reviewe

    Using network centrality measures to manage landscape connectivity

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    We use a graph-theoretical landscape modeling approach to investigate how to identify central patches in the landscape as well as how these central patches influence (1) organism movement within the local neighborhood, and (2) the dispersal of organisms beyond the local neighborhood. Organism movements were theoretically estimated based on the spatial configuration of the habitat patches in the studied landscape. We find that centrality depends on the way the graph-theoretical model of habitat patches is constructed, although even the simplest network representation, not taking strength and directionality of potential organisms flows into account, still provides a coarse-grained assessment of the most important patches according to their contribution to landscape connectivity. Moreover, we identify (at least) two general classes of centrality. One accounts for the local flow of organisms in the neighborhood of a patch and the other for the ability to maintain connectivity beyond the scale of the local neighborhood. Finally, we study how habitat patches with high scores on different network centrality measures are distributed in a fragmented agricultural landscape in Madagascar. Results show that patches with high degree-, and betweenness centrality are widely spread, while patches with high subgraph- and closeness centrality are clumped together in dense clusters. This finding may enable multi-species analyses of single-species network models
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