934 resultados para NLC. Gini index. Correlation
Resumo:
O objetivo do trabalho é propor um estudo sobre a relação do Programa Nacional de Crédito Fundiário - PNCF, no estado do Rio Grande do Norte, e sua concentração fundiária. Ou seja, se o PNCF está sendo direcionado, para as microrregiões que apresentam maior índice de concentração, de acordo com o índice de Gini, e se as áreas adquiridas através do crédito fundiário estão emergindo nestas microrregiões. Para isto, o estudo levantou a hipótese de que o PNCF no estado do Rio Grande do Norte não está sendo conduzida, de modo a reduzir a concentração fundiária, dentre as microrregiões do estado. Ou seja, não existe correlação entre o índice de Gini, da concentração fundiária, e as áreas adquiridas através do programa. Além disso, o trabalho buscou realizar uma discussão da literatura sobre os programas de reforma agrária assistida pelo mercado. Apresentando os autores que são exaltadores do modelo e das suas potencialidades, atrelando as causas dos problemas levantados como sendo de ordem técnica e operacional, onde os principais autores desta linha são: Van Zyl, Kirsten & Binswanger, (1996), Deininger & Binswanger, (1999). Têm-se também a apresentação da posição dos autores adeptos as políticas fundiárias pautadas na dinâmica e liberação dos mercados de terras, mas que visam contribuir com estudos que permitam uma redução para o custo elevado e a sua incapacidade de abarcar a esfera social, em decorrência do pagamento á vista e a preço de mercado aos donos das terras, são eles: De Janvry & Sadoulet (2002), Gordillo (2002), Banerjee (1999), Jaramillo (1998) e Burki & Perry (1997). Todavia, apresentou-se a corrente de autores que ressalta a natureza socialmente agressiva da Reforma Agrária Assistida pelo Mercado (RAAM), sendo os seus principais contribuidores: El-Ghonemy (2001); Barros, Schwartzman & Sauer (2003); Borras Jr. (2006, 2003 e 2003a); Garoz et al. (2005); Sauer & Pereira (2006); Pereira (2005, 2006 e 2010); Sauer (2010); Lahiff, Borras Jr. & Kay (2007). Em sequência, o trabalho apresentou a transição e características dos programas de acesso à terra, no Brasil, a partir da década de 1990, bem como, alguns indicadores do PNCF, no Brasil e o estado do Rio Grande do Norte. Apresentou-se também os indicadores da concentração fundiária, no Brasil e no estado. Através dos dados do Censo Agropecuário de 2006 foi possível calcular o índice de Gini da distribuição fundiária nas microrregiões no estado do Rio Grande do Norte. Com os dados fornecidos pela Secretaria de Estado de Assuntos Fundiários e de Apoio à Reforma Agrária - SEARA mostrou-se a distribuição das linhas de crédito do PNCF e as áreas adquiridas, entre os anos de 2006 e 2012. Por fim, o valor do coeficiente de correlação simples (r) igual a (0,2865), que com base no teste bilateral da distribuição de t de Student chegou-se no resultado para T calculado no valor de (1,2333), que ao ser comparado com o valor de T crítico igual a (2,898), com 17 graus de liberdade, a um nível de significância de 1%, pode aceitar a hipótese de partida, ou seja, que o PNCF não estava sendo direcionado para diminuir a concentração fundiária no estado
Resumo:
This article identifies and compares the determinants of CEO compensation to median employee earnings with those of the Corporate Gini Index (CGI). Using a multinational retail company, the article posits that the CGI is an advantageous corporate alternative pay inequality measure that concerns CEO pay multiples to median employee earnings, which regulators should consider using and disclosing in proxy statements. Although CGI and the official measure of multiples of CEO pay to median employee earnings share some of the challenges, the advantages of CGI as an alternative measure are greater. Our findings suggest that the CGI is a much better measure of corporate income inequality bringing clear benefits at both micro and macro levels of intervention.
Resumo:
The Gini index is the most common method for estimating the level of income inequality in countries. In this paper we suggest a simple modification that takes into account the moderating effect of in-kind government benefits. Unlike other studies that use micro level data that is rarely available for many countries or over a period of time, the proposed modified Gini index could be calculated using just the regularly available data for each country. Such data includes the original Gini coefficient, government consumption expenditures, GDP and total tax revenue as a percentage of GDP. This modified version of the Gini index allows us to calculate the level of inequality more precisely, and make better comparisons between countries and over time.
Resumo:
To simplify the abstraction of descriptors, for the correlation analysis of the stability constants of gadolinium(III) complexes and their ligand structures, aiming at gadolinium(III) complexes, we only considered the ligands and ignored the common parts of the structures, i.e., the metal ions. Quantum-chemical descriptors and topological indices were calculated to describe the structures of the ligands. Multiple regression analysis and neural networks were applied to construct the models between the ligands and the stability constants of gadolinium(III) complexes and satisfactory results were obtained.
Resumo:
This article investigates to what extent the worldwide increase in body mass index (BMI) has been affected by economic globalization and inequality. We used time-series and longitudinal cross-national analysis of 127 countries from 1980 to 2008. Data on mean adult BMI were obtained from the Global Burden of Metabolic Risk Factors of Chronic Diseases Collaborating Group. Globalization was measured using the Swiss Economic Institute (KOF) index of economic globalization. Economic inequality between countries was measured with the mean difference in gross domestic product per capita purchasing power parity in international dollars. Economic inequality within countries was measured using the Gini index from the Standardized World Income Inequality Database. Other covariates including poverty, population size, urban population, openness to trade and foreign direct investment were taken from the World Development Indicators (WDI) database. Time-series regression analyses showed that the global increase in BMI is positively associated with both the index of economic globalization and inequality between countries, after adjustment for covariates. Longitudinal panel data analyses showed that the association between economic globalization and BMI is robust after controlling for all covariates and using different estimators. The association between economic inequality within countries and BMI, however, was significant only among high-income nations. More research is needed to study the pathways between economic globalization and BMI. These findings, however, contribute to explaining how contemporary globalization can be reformed to promote better health and control the global obesity epidemic. © 2013 Copyright Taylor and Francis Group, LLC.
Resumo:
This paper uses Colombian household survey data collected over the period 1984-2005 to estimate Gini coe¢ cients along with their corresponding standard errors. We Önd a statistically signiÖcant increase in wage income inequality following the adoption of the liberalisation measures of the early 1990s, and mixed evidence during the recovery years that followed the economic recession of the late 1990s. We also Önd that in several cases the observed di§erences in the Gini coe¢ cients across cities have not been statistically signiÖcant.
Resumo:
BORGES,D. M. L.et al. Mortalidade por câncer de boca e condição sócio-econômica no Brasil.Cad. Saúde Pública, Rio de Janeiro, v.25,n.2, p.321-327, fev, 2009
Resumo:
The International Labor Organization (OIT) estimates that there are around 118 million children subjected to child labor around the world. In Brazil, there are 3.5 million workers aged between 5 and 17. This exploitation practice constitutes a serious social problem, including of Public Health, since these workers are exposed to a wide range of risks, such as those related to health, physical integrity and even to life, which may cause them to become sick adults and/or interrupt their lives prematurely. Therefore, this research aims to investigate the relationship between the frequency of child labor in the age group of 10 to 13 years and some socio-economic indicators. It is a quantitative research in an ecological study whose levels of analysis are the Brazilian municipalities grouped in 161 regions, defined from socioeconomic criteria. The dependent variable of this study was the prevalence of child labor in the age group of 10 to 13 years. The independent variables were selected after a correlation between the 2010 Census of child labor in the age group of 10 to 13 years and secondary data had been conducted, adopting two main independent variables: funds from the Family Allowance Program (PBF) per 1,000 inhabitants and Funds from the Child Labor Eradication Program (PETI) per a thousand inhabitants. Initially, it was conducted a descriptive analysis of the variables of the study, then, a bivariate analysis, and the correlation matrix was built. At last, the Multiple Linear Regression stratified analysis was performed. The results of this survey indicate that public policies , like the Bolsa Familia Program Features per 1000 inhabitants and Resources Program for the Eradication of Child Labour to be allocated to municipalities with HDI < 0.697 represent a decrease in the rate of child labor ; These programs have the resources to be invested in municipalities with HDI > = 0.697 have no effect on the rate of child labor. Other adjustment variables showed significance, among these the municipal Human Development Index (IDH), years of schooling at 18 years of age, illiteracy at 15 years of age or more, employees without employment contract at 18 years of age and the Gini Index. It is understood that the child labor issue is complex. The problem is associated, although not restricted to, poverty, the social exclusion and inequality that exist in Brazil, but other factors of cultural and economic nature, as well as of organization of production, also account for its aggravation. Fighting child labor involves a wide intersectoral articulation, shared and integrated with several public policies, among them health, sports, culture, agriculture, labor and human rights, with a view to guaranteeing the integrality of the rights of children and adolescents in situation of labor and of their respective families
Resumo:
Measurements of global and diffuse solar-radiation, at the Earth's surface, carried out from May 1994 to June 1999 in São Paulo City, Brazil, were used to develop correlation models to estimate hourly, daily and monthly values of diffuse solar-radiation on horizontal surfaces. The polynomials derived by linear regression fitting were able to model satisfactorily the daily and monthly values of diffuse radiation. The comparison with models derived for other places demonstrates some differences related mainly to altitude effects. (C) 2002 Elsevier B.V. Ltd. All rights reserved.
Resumo:
Nature Protection Areas (NPA) are important in the modern world, although still created with no well-defined criteria, overall in state and municipal spheres. In addition, there are no consistent information on the existence or factors that influence the creation and distribution of these areas. The present work had the objectives of identifying the Nature Protection Areas in Minas Gerais, Brazil, considering the municipalities and their mesoregions; perform a space-temporal analysis of the NPAs in Minas Gerais; relate the existence of NPAs with the Municipal Human Development Index (MHDI) and the municipal Gini Index (GI); relate the existence of NPA with the space-temporal and population density of each municipality; relate the Gross Domestic Product (GDP) with the presence of NPAs; relate the existence of NPAs with the occurrence of preservation areas in municipalities within the Atlantic Forest Biome; and verify the influence of the Ecological Sales and Services Tax (Ecological ICMS) institute over the creation of municipal NPAs in Minas Gerais. To reach these objectives, we researched databases, governmental websites, contacted managers and sent questionnaires to the 853 municipalities of Minas Gerais. After tabulating the data, statistical tests were applied to verify possible correlations. The results showed that the state has 9.26% of its territory protected, with the predominance of units of Sustainable Use, especially Environmental Protection Areas, which constitute 69.9% of this area. Only 1.96% of the territory are protected by Integral Protection (IP). We found no correlation between MHDI and the presence of NPAs. However, we verified that municipalities with IP units present higher GI when compared to the others, suggesting that the presence of this conservation unit (CU) model may be associated to social inequality. The results also showed a higher concentration CU in regions that use little of its natural resources as main economic basis and in municipalities with higher GDP. We also registered a positive correlation between the size of the municipalities, of the mesoregions, preserved area of the Atlantic Forest and population density. The Ecological ICMS did not contribute for a better IP in the state and, currently, does not represent an incentive to the creation of CU in Minas Gerais, even in the case of Environmental Protection Areas. This work registered a high degree of vulnerability if the protection system in this state, based on low restriction conservation units.
Resumo:
En la primera parte del presente trabajo se investigan diferentes formas de cálculo de la razón de concentración conocida como Coeficiente o Índice de Gini, y el no cumplimiento del axioma conocido como de "invariancia a la replicación" o "Principio de Población de Dalton" en algunas de ellas. El alcance de las conclusiones se limita al comportamiento de las fórmulas sometidas a prueba (se encuentran entre las más conocidas) cuando son aplicadas a distribuciones de datos desagregados. En la segunda parte se propone un factor de corrección para las fórmulas de cálculo analizadas, de manera que satisfagan el Principio de Población.
Resumo:
En la primera parte del presente trabajo se investigan diferentes formas de cálculo de la razón de concentración conocida como Coeficiente o Índice de Gini, y el no cumplimiento del axioma conocido como de "invariancia a la replicación" o "Principio de Población de Dalton" en algunas de ellas. El alcance de las conclusiones se limita al comportamiento de las fórmulas sometidas a prueba (se encuentran entre las más conocidas) cuando son aplicadas a distribuciones de datos desagregados. En la segunda parte se propone un factor de corrección para las fórmulas de cálculo analizadas, de manera que satisfagan el Principio de Población.
Resumo:
En la primera parte del presente trabajo se investigan diferentes formas de cálculo de la razón de concentración conocida como Coeficiente o Índice de Gini, y el no cumplimiento del axioma conocido como de "invariancia a la replicación" o "Principio de Población de Dalton" en algunas de ellas. El alcance de las conclusiones se limita al comportamiento de las fórmulas sometidas a prueba (se encuentran entre las más conocidas) cuando son aplicadas a distribuciones de datos desagregados. En la segunda parte se propone un factor de corrección para las fórmulas de cálculo analizadas, de manera que satisfagan el Principio de Población.
Resumo:
En la primera parte del presente trabajo se investigan diferentes formas de cálculo de la razón de concentración conocida como Coeficiente o Índice de Gini, y el no cumplimiento del axioma conocido como de "invariancia a la replicación" o "Principio de Población de Dalton" en algunas de ellas. El alcance de las conclusiones se limita al comportamiento de las fórmulas sometidas a prueba (se encuentran entre las más conocidas) cuando son aplicadas a distribuciones de datos desagregados. En la segunda parte se propone un factor de corrección para las fórmulas de cálculo analizadas, de manera que satisfagan el Principio de Población.