发帖
雷达卡
英文文献：Multidimensional Poverty in Cameroon: Determinants and Spatial Distribution-喀麦隆的多维贫困:决定因素和空间分布
英文文献作者：Paul Ningaye,Laurent Ndjanyou,Guy Marcel Saakou
英文文献摘要：
The aim of this study was to target poverty following a multidimensional approach. The main contribution of this approach is that its study of poverty coversmonetary indicators, that is, welfare indicators which cannot be acquired easily through people’s incomes,or the acquisition of which hinges on the existence of certain types of infrastructure. This makes it possible to take into account the population’s welfare while formulating development policies. The results of the present study show that with regard to the spatial dimension of poverty, Cameroon’s regions can be divided into three: a space of extreme multipoverty, a space of non-multipoverty, and a space in between. With regard to socio-economic characteristics, the residential area variable was found to be an absolute determinant because the passage from the urban area to the semi-urban and from the urban area to the rural one increases the risk of multipoverty by about five and 76 times respectively. Monetary poverty is obviously considerable in this distribution, and so are existence poverty, infrastructural poverty and human poverty. Policies aimed at fighting poverty must target the areas of extreme multipoverty and rural areas on the basis of shortages of capabilities in all these dimensions.
这项研究的目的是按照多维的方法针对贫困。这一方法的主要贡献是，它对贫穷的研究涉及货币指标，即不能通过人们的收入轻易获得的福利指标，或是否获得这些指标取决于是否存在某些类型的基础设施。这使得在制定发展政策时能够考虑到人民的福利。本研究结果表明，就贫困的空间维度而言，喀麦隆地区可分为三个区域:极端多重贫困空间、非多重贫困空间和介于三者之间的空间。在社会经济特征方面，居住区域变量被发现是一个绝对的决定因素，因为从城市地区到半城市地区和从城市地区到农村地区的通道分别增加了大约5倍和76倍的多重贫困风险。在这一分布中，货币贫困显然相当严重，生存贫困、基础设施贫困和人的贫困也相当严重。以消除贫困为目标的政策必须以极端多重贫困地区和农村地区为目标，因为在所有这些方面都缺乏能力。
京公网安备 11010802022788号
