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Vulnerability to poverty in Brazilian municipalities in 2000 and 2010: A multidimensional approach

机译:2000年和2010年巴西市政当局的贫困脆弱性:一种多维方法

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The introduction of the temporal component into poverty analysis takes us to the study of the poverty dynamic, which focuses on investigating events of entering, remaining in and getting out of deprivation. As an effort to consider the diverse aspects unrelated to income in the study of vulnerability to poverty, the monetary approach is put aside and the multidimensional approach is used to elaborate the well-being index. The Multidimensional Poverty Index ( MPI ) is constructed with data from Brazil’s 2000 and 2010 Demographic Census. First, this article intends to quantify and describe the results of the MPI in Brazilian territory, using municipalities as unit of analysis. Second, it intends to analyze the factors associated to the poverty dynamics, which can be understood through the transition probability from a non-vulnerable state to a vulnerable state, in a distribution of the MPI in deciles. Finally, it intends to identify the municipalities that went through this transition in a regional level during the intercensal period. Results show that, despite the improvement observed in its whole national territory, Brazil’s North and Northeast remain with deeper deprivations while the Southern and Southeastern regions present the lowest incidence of multidimensional poverty. Dropout Rate of Grades 3–4 of High School , HDI-M Education , HDI-M Longevity , Logarithm of the Population , Gross Value Added per capita of Industry, Service Concentration Index and Entrepreneur Rate contribute positively to the reduction of municipal vulnerability to poverty. Compared to Northern municipalities, Southeastern Brazil has reduced more significantly the likelihood of position loss and has had a greater effect of increasing the probability of its upward movement.
机译:在贫困分析中引入时间成分可以使我们对贫困动态进行研究,其重点是调查进入,停留和摆脱贫困的事件。为了在研究贫困脆弱性时考虑与收入无关的各个方面,抛弃了货币方法,并使用多维方法来阐述幸福指数。多维贫困指数(MPI)是根据巴西2000年和2010年的人口普查数据建立的。首先,本文打算使用市政当局作为分析单位来量化和描述巴西境内MPI的结果。其次,它旨在分析​​与贫困动态相关的因素,可以通过以十亿分之一的MPI分布从非脆弱国家到脆弱国家的转变概率来理解这些因素。最后,它打算确定在过渡时期在区域一级经历过这一过渡的市政当局。结果表明,尽管在全国范围内都有所改善,但巴西的北部和东北部地区的贫困程度仍然较高,而南部和东南部地区的多维贫困发生率最低。高中3-4年级的辍学率,HDI-M教育,HDI-M长寿,人口对数,人均工业增加值,服务业集中度指数和企业家比率为减少城市的贫困状况做出了积极贡献。与北部城市相比,巴西东南部已大大降低了职位流失的可能性,并具有增加其向上运动可能性的更大作用。

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