乍得的多重贫困和剥夺:使用模糊集理论的多维方法

Growth Pub Date : 2022-11-24 DOI:10.20448/growth.v9i1.4306
Themoi Demsou
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引用次数: 1

摘要

本文的总体目标是使用多维方法分析乍得贫困的构成,而以前的工作在很大程度上倾向于货币或一维方法。所采用的多维方法是基于模糊集,也称为模糊集理论。为了实现这一目标,多维贫困指数是通过Cerioli和Zani称为“完全模糊方法”的隶属函数公式来计算的。它们是根据卡米洛·达格姆的方法分解的。数据来自2003年7,008户家庭的家庭预算和消费调查(ECOSIT2)和2011年10,200户家庭的家庭预算和消费调查(ECOSIT3)。结果表明:2003年多维贫困指数(模糊贫困指数)为48.47%,与2011年不同,上升幅度为58.89%;2003年和2006年货币贫困为55%;2011年是67%。在乍得的所有地区,贫困依然存在。在能源方面,我们发现住房、卫生设施和教育水平由高到低的穷人越多。我们建议政府当局在消除贫困的框架内优先考虑所有地区的电气化,因为能源对2003年和2011年等贫困地区的贡献超过90%。
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Multi-Poverty and Deprivation in Chad: Multidimensional Approach Using the Fuzzy Set Theory
The general objective of this paper is to analyze the configuration of poverty in Chad using a multidimensional approach, while previous work has for the most part favored the monetary or one-dimensional approach. The multidimensional approach adopted is based on the fuzzy-set also called the fuzzy set theory. To achieve this objective, multidimensional poverty indices are calculated by the formulations of membership functions called "totally fuzzy approach (TF)" by Cerioli and Zani. They are broken down according to the Camilo Dagum’s method. The data are the Household Budget and Consumption Surveys in 2003 (ECOSIT2) of 7,008 households and in 2011 (ECOSIT3) of 10,200 households. The results show that the multidimensional poverty index (fuzzy poverty index) is 48.47% in 2003 and increases unlike in 2011 to 58.89% while monetary poverty is 55% in 2003 and 46. 67% in 2011. In Chad, in all areas, poverty persists. The energy dimension is the one where we find more poor people followed in descending order of housing, sanitation and education. We recommend that the public authorities prioritize, within the framework of the fight against poverty, the electrification of all regions because energy contributes more than 90% to the construction of poverty in 2003 and 2011, etc.
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