Influências da quantidade produzida de soja, algodão, arroz e feijão sobre a pobreza e desigualdade nas microrregiões de Mato Grosso : 2000 e 2010

• Ano de defesa: 2014
• Autor(a) principal: Pinto, Ana Claudia
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal de Mato Grosso; Brasil; Faculdade de Economia (FE); UFMT CUC - Cuiabá; Programa de Pós-Graduação em Economia
• Palavras-chave em Português: Agricultura; Pobreza absoluta; Desigualdade da distribuição de renda; CNPQ::CIENCIAS SOCIAIS APLICADAS::ECONOMIA; Agriculture; Absolute poverty; Inequality of income distribution
• Link de acesso: http://ri.ufmt.br/handle/1/3028

In recent years, due to its intense and extensive modernisation, Mato Grosso agriculture comes exercising increasing effects on the economy of the State as a whole, especially in social indicators. In the course of modernization, based on greater productivity of production factors, increasing the quantity produced of certain crops, like soybeans, rice, beans and cotton, comes up displaying notability. Some authors claim that these crops, especially soybeans and cotton, can be generating results exclusive for most actors her directly or indirectly involved, with accented effects on poverty and inequality of income distribution, because they are large estates and custodial modernizing based on extremely extensive technological innovations in labor. On the other hand, other studies consider that crops of rice and beans are also generating income for small properties, and are more labor intensive, since if nucleiam dominantly on family agriculture, thus, increasing the quantity produced these two goods are exerting negative effects (or reverse) on poverty and inequality of income distribution. In this context, the research work the influence of quantity produced from soybeans, cotton, rice and beans on the levels of poverty and unequal income distribution with fixed models to Panel data with statistics of 2000 and 2010 in twenty-two micro-regions of Mato Grosso. After two regressions, where independent variables are the quantity produced of these four goods, and one of the two cases, the independent variable is represented by the Sen index (measure of absolute poverty) and, in another case, the independent variable is represented by the Gini index (measure of inequality of income distribution), the results confirm that strictly cotton exerts statistically significant influence on poverty.