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HIV/AIDS Scourge and Economic Growth in Sub-Sahara Africa

机译:撒哈拉以南非洲的艾滋病毒/艾滋病灾祸与经济增长

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This study examines the impact of HIV/ AIDS scourge on economic growth of some selected Sub-Sahara African countries. The three sub-Sahara African regions (Southern, West and Eastern) are categorized into lowest and highest HIV prevalence rate, using the global report of the UNAIDS 2012 data. In each region, the lowest and the highest HIV prevalence rate countries are selected respectively. Thus, we consider a panel of three countries in each category over a period from 1995 – 2012. We used these data to estimate the cross-country level regressions of these two categories, using panel data models. Thus, our results are in twofold: For lowest HIV prevalence rate category, the pooled OLS model was the “best” model. This pooled OLS model indicated that, for one unit increase in HIV prevalence rate, the gross domestic product per capita of countries is expected to decrease by US$23.46, holding all other variables constant. Again for highest HIV prevalence rate category, the fixed effect model was the “best” model. The fixed effect model revealed that, one unit increase in HIV prevalence rate will cause the gross domestic product per capita of countries to decrease by US$9.98, holding all other variables constant. Generally, for a unit increase in HIV prevalence rate, the impact of HIV on the economy is two-thirds larger in lowest HIV prevalence rate countries than that of the highest HIV prevalence rate countries.
机译:这项研究考察了艾滋病毒/艾滋病祸患对某些选定的撒哈拉以南非洲国家经济增长的影响。根据联合国艾滋病规划署2012年数据的全球报告,撒哈拉以南非洲三个地区(南部,西部和东部)的艾滋病毒感染率最高和最低。在每个区域中,分别选择了艾滋病毒感染率最低和最高的国家。因此,我们考虑了1995年至2012年期间每个类别中的三个国家组成的小组。我们使用这些数据,通过小组数据模型来估计这两个类别的跨国水平回归。因此,我们的结果有两个方面:对于最低的HIV患病率类别,汇总的OLS模型是“最佳”模型。这种汇总的OLS模型表明,在艾滋病病毒感染率每增加一单位的情况下,在所有其他变量保持不变的情况下,预计国家的人均国内生产总值将减少23.46美元。同样,对于最高的艾滋病毒感染率类别,固定效应模型是“最佳”模型。固定效应模型显示,在所有其他变量保持不变的情况下,艾滋病毒流行率每增加一单位,将导致各国人均国内生产总值减少9.98美元。通常,对于艾滋病毒流行率的单位提高,在艾滋病毒流行率最低的国家,艾滋病毒对经济的影响要比艾滋病毒流行率最高的国家大三分之二。

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