Determinantes da pobreza nas Regiões Metropolitanas do Brasil no período de 1995 a 2009

Carneiro, Douglas Mesquita; Bagolin, Izete Pengo; Tai, Sílvio Hong Tiing

doi:10.1590/0103-6351/2036

Cited by 9 publications

(4 citation statements)

References 10 publications

(13 reference statements)

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“…A partir do ano de 2001, os seus valores decrescem continuamente. Essa tendência foi retratada por diversos autores, como é o caso de Hoffmann (2009) e Carneiro, Bagolin e Tai (2016. Antes dessa queda gradual da desigualdade, o país apresentou oscilações.…”

Section: Análise Descritivaunclassified

“…Salm (2006), Hoffmann (2009) e Carneiro, Bagolin e Tai (2016), apesar de terem explorado importantes canais para entender a evolução da renda das famílias brasileiras, não investigaram a influência das finanças. Pochmann (2010) aponta a inclusão bancária como fator de atenuação da disparidade de renda, mas inclusão bancária não é o mesmo que fluxo de capital de portfólio, e o autor não detalhou como se daria essa influência.…”

Section: Introductionunclassified

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Fluxo de capital e desigualdade de renda no Brasil (1981-2014)

Attílio

2018

REE

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Resumo:Este artigo investiga a influência do fluxo de capital de portfólio sobre a distribuição de renda brasileira entre os anos de 1981 e 2014 com o uso do VEC. Os resultados indicam que esse fluxo impacta de forma desfavorável a desigualdade do Brasil. De acordo com o modelo de Demirguc-Kunt e Levine (2009), isso ocorreria em virtude da melhora das condições das famílias que já utilizam o mercado financeiro e pelo não acesso de famílias mais pobres a ele. Outro canal seria que esse mercado, ainda que se abrisse para as famílias pobres, não estaria fornecendo instrumentos para a obtenção de renda por meio de atividades produtivas. Palavras-chave: Fluxo de capital de portfólio; desigualdade de renda; abertura financeira. Capital flow and income inequality in Brazil (1981-2014)Abstract: This paper investigates the influence of the flow of capital portfolio on the Brazilian income distribution between the years 1981 and 2014 using the VEC. The results indicate that this flow affects unfavorably inequality in Brazil. According to the Demirguc-Kunt and Levine (2009)'s model, this would occur due to the improvement of conditions of rich families using the financial market and the non-access of the poor families. Another channel would be that the financial market, although open to the poor families would not be providing tools to them obtain income through productive activities.

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Section: Análise Descritivaunclassified

Section: Introductionunclassified

Fluxo de capital e desigualdade de renda no Brasil (1981-2014)

Attílio

2018

REE

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“…Many scholars have studied the problems of poverty-stricken villages from the perspectives of economics, management, sociology, politics, tourism, ethics, and education. In terms of research content, they have analyzed the spatial geographical distribution characteristics of poverty villages in their administrative regions [7,8], the causes of poverty [9,10], and the treatment methods [11][12][13]. The spatial and geographical distribution characteristics of poverty villages have focused on the analysis of local poverty distribution patterns in provinces [14], cities [15], counties [16], and concentrated poverty areas [17,18].…”

Section: Introductionmentioning

confidence: 99%

Study on the Spatial Distribution Characteristics and Poverty Inducements of Poverty-Stricken Villages in Henan Province

Zhang

2023

Land

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With the advancement of “targeted poverty alleviation”, the main problems we face at this stage are analyzing the causes of poverty and preventing poverty-stricken villages from falling back into poverty. Using the last batch of poverty-stricken villages that have been lifted out of poverty, which were announced by the Henan Provincial poverty alleviation and development office, as the research object, this research discusses the spatial distribution characteristics of 835 poverty-stricken villages in Henan Province from the perspective of the macro province by combining kernel density analysis and spatial autocorrelation analysis, analyzes their influencing factors using the least squares linear regression model, and performs a quantitative analysis of their influencing factors. The results revealed the following: (1) The spatial distribution characteristics of poverty-stricken villages in Henan Province are characterized by significant agglomeration. A banded high-density area is formed in the east of Henan Province, with a sub-density area in the west of Henan Province, and it radiates outward with the “dikaryon” as its center. (2) High-density and sub-density areas of poverty-stricken villages are mainly located in flat areas, with spatial dependence on each other. The high-high clustering areas are mainly areas dominated by agricultural economies. The low-low clustering areas mainly have limited agricultural development and rapid urban–rural integration. (3) Geographical locations and socio-economic and basic public services are the main factors affecting poverty in poverty-stricken villages. At the same time, environmental livability is an advantageous condition in areas where poverty-stricken villages are located, of which the Temperature Humidity Index factor is most closely related to the distribution density of poverty-stricken areas. The research results are intended to provide information for the policies and program intervention strategies for poverty reduction and sustainable development in poverty-stricken villages in Henan Province, and this is conducive to consolidating the results of targeted poverty alleviation and preventing a return to poverty.

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“…In this context, Brazil was very successful in reducing poverty, enlarging the middle class and decreasing regional differences. Among other factors, the introduction of a new social safety net (in particular Bolsa Família) in 1998 and increases in the minimum wage and in unemployment insurance and pension coverage have been instrumental to these changes (Carneiro et al 2011 A.4). Similarly, the main challenges in education arise from regional disparities, the low quality and coverage of basic and secondary education in some states (as evidenced by the results of the middle school achievement test, Exame Nacional do Ensino Médio, Figure A.5), and the weak management capacity of some subnational governments to articulate and implement policies (IPEA 2014 andOliveira, Sakowski andGusso, 2013).…”

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confidence: 99%

Country Program Evaluation: Brazil (2011-2014)

Marto,

Martin,

Alonso

et al. 2015

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This document presents an evaluation by the Office of Evaluation and Oversight (OVE) of the Country Program of the Inter-American Development Bank (IDB, or the Bank) with Brazil over the period 2011-2014. This Country Program Evaluation (CPE) is the fourth independent evaluation of the Bank's program with Brazil. The CPE reviews the Bank's program in light of the country context and the applicable strategic documents, and it looks in-depth at the results of a sample of all operations approved between January 2011 and December 2014 and approved previously but disbursed (at least 70%) in this period.

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Determinantes da pobreza nas Regiões Metropolitanas do Brasil no período de 1995 a 2009

Cited by 9 publications

References 10 publications

Fluxo de capital e desigualdade de renda no Brasil (1981-2014)

Fluxo de capital e desigualdade de renda no Brasil (1981-2014)

Study on the Spatial Distribution Characteristics and Poverty Inducements of Poverty-Stricken Villages in Henan Province

Country Program Evaluation: Brazil (2011-2014)

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