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Comparative Analysis of Determinants of Household Poverty among Rural Farming Households in Southwest Nigeria

机译:尼日利亚西南农村农户家庭贫困决定因素的比较分析

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Poverty is multifaceted in nature and its measurement based on uni-dimensional is insufficient to explain the various deprivations experienced by the poor. Using the Alkire and Foster’s multidimensional methodological approach, this study confirmed that multidimensional approach to poverty should be used to complement uni-dimensional measure of poverty. The paper examined the factors influencing farming household poverty by applying two approaches. It specifically identified the attributes of the rural farmers and the contributions of the various dimensions to poverty. Primary data was collected from 362 rural farming households and analysed using descriptive statistics, Alkire and Fosters MPI and logit regression model. The results revealed that 66.85 percent of rural households were declared monetary poor while only 34.53 percent of them were multidimensional poor. Housing condition contributed most (27.34%) to household multidimensional deprivation followed by education (23.58%). The two approaches, while sharing many similarities, do not lead to the same results. The logit regression results revealed that female headed households are more prone to be poor for both uni-dimensional and multidimensional approaches to household poverty. Increase in age increase the probability of being multidimensional poor and decrease the probability of being monetary poor. As farmer aged they may be constrainedto improve or maintain their asset base especially the dimensions used in measuring their poverty status, however, they may not be monetary poor if they have grown up children through who they receive remittances for their upkeep. Among other factors, being married and household size reduce the likelihood of being monetary poor but has no influence on being multidimensional poor. This can be when married couples are economically empowered to generate income to sustain the household rather than having only the household head empowered economically.Also, farmsize and membership in social group influence the probability of multidimensional poor and no effect on monetary poor. Having a large farmland beyond the available resources and membership in many social group will make a heavy demand on available resources Efforts should be geared towards poverty reduction to empower the household to acquire good housingstructure in additional to enlightenment on human capital investment to reduce poverty.
机译:贫困本质上是多方面的,其基于一维的度量不足以解释穷人经历的各种贫困。这项研究使用Alkire and Foster的多维方法论方法,证实了应采用多维方法解决贫困问题,以补充贫困的一维度量方法。本文采用两种方法研究了影响农户贫困的因素。它具体确定了农村农民的属性以及各个方面对贫困的贡献。收集了362个农村农户的原始数据,并使用描述性统计,Alkire和Fosters MPI和logit回归模型进行了分析。结果显示,有66.85%的农村家庭被宣布为货币贫困,而只有34.53%的家庭为多维贫困。住房状况对家庭多维贫困的贡献最大(27.34%),其次是教育(23.58%)。这两种方法虽然有很多相似之处,但并不能带来相同的结果。 Logit回归结果表明,以一维和多维方法处理家庭贫困的女性户主家庭更容易贫困。年龄的增加增加了成为多维贫困者的可能性,并降低了成为货币贫困者的可能性。随着农民的年龄增长,他们可能会被迫改善或维持其资产基础,尤其是用于衡量其贫困状况的维度,但是,如果他们长大了的孩子通过抚养而收到汇款,则他们可能不是货币贫困。除其他因素外,结婚和家庭人数减少了成为金钱贫困者的可能性,但对多维贫困者没有影响。这可能是在经济上赋予已婚夫妇创造收入来维持家庭的权力而不仅仅是经济上赋予户主的权力的时候。此外,农场的规模和社会群体的成员身份也会影响多维贫困的可能性,而不会影响货币贫困。拥有大量可用资源之外的大量农田,并成为许多社会团体的成员,这将对可用资源产生巨大的需求。除了启迪人力资本投资以减少贫困外,还应努力减少贫困,使家庭有能力获得良好的住房结构。

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