6 research outputs found

    Political discourses of climate change and migration: resettlement policies in the Maldives:resettlement policies in the Maldives

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    There is general agreement that migration is likely to play an increasingly crucial role in adaptation to climate change. However, as this paper argues, technocratic and de-politicised discourses of climate change have often been invoked to conceal underlying political agendas in which environmental concerns are drawn upon to justify unfavourable government policies of mobility and resettlement. This paper examines the politics of climate change discourse through an analysis of resettlement policies in the Maldives where the government is proposing the consolidation of a population dispersed over 200 islands onto 10–15 islands. However, this initiative is not new. The government has long thought it economically, rather than environmentally, unsustainable to provideservices and resources to a dispersed population, and has for many years muted policies to move people in order to reduce the costs on government. Today, the same initiatives are gaining renewed leverage by being couched in environmental terms. Without denying the realities of the negative consequences of climate change for small island states, this article explores the political imperativesthat are influencing discussions of climate change and migration, and specifically how environmental discourses are being mobilised to re-introduce previously unpopular resettlement and migration policies

    Additional file 4 of Mapping age- and sex-specific HIV prevalence in adults in sub-Saharan Africa, 2000–2018

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    Additional file 4: Supplemental results.1. README. 2. Prevalence range across districts. 3. Prevalence range between sexes. 4. Prevalence range between ages. 5. Age-specific district ranges

    Additional file 4 of Mapping age- and sex-specific HIV prevalence in adults in sub-Saharan Africa, 2000–2018

    No full text
    Additional file 4: Supplemental results.1. README. 2. Prevalence range across districts. 3. Prevalence range between sexes. 4. Prevalence range between ages. 5. Age-specific district ranges
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