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Sub-Saharan growth surprises: Geography, institutions and history in an all African data panel

机译:撒哈拉以南地区的增长惊喜:非洲所有数据小组的地理,机构和历史

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摘要

We use two types of cross-country growth regression models to revisit explanations of slow growth in Africa looking at growth rate variation among African countries only. Both sets of models produce results that are surprising given conclusions based on global sample: within Africa, we .nd greater coastal population negatively and greater ethnic heterogeneity positively associated with growth, while distance from the equator is at .rst negatively and only later positively associated with growth. Our results suggest also that institutional and policy variables are endogenous to geographic and historical factors including the colonizing power and the religious and ethnic make-up of the country.
机译:我们仅使用非洲国家之间的增长率差异,使用两种类型的跨国增长回归模型来重新审视非洲增长缓慢的解释。两种模型的结果都令人惊讶,基于全球样本得出的结论:在非洲,我们发现沿海地区的人口数量呈负相关,而种族异质性与增长呈正相关,而与赤道的距离则呈负相关,仅后来呈正相关随着增长。我们的研究结果还表明,制度和政策变量是地理和历史因素的内生因素,包括该国的殖民势力以及该国的宗教和种族构成。

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