An?lise da efici?ncia t?cnica e fronteiras de produ??o na orizicultura do Rio Grande do Sul e de Mostardas

• Autor(a) principal: Carvalho, Antonio Paulo Lima de
• Data de Publicação: 2012
• Tipo de documento: Dissertação
• Idioma: por
• Título da fonte: Biblioteca Digital de Teses e Dissertações da PUC_RS
• Texto Completo: http://tede2.pucrs.br/tede2/handle/tede/3943
• topic: ECONOMIA; DESENVOLVIMENTO ECON?MICO; ORIZICULTURA; ARROZ - CULTIVO - RIO GRANDE DO SUL; CNPQ::CIENCIAS SOCIAIS APLICADAS::ECONOMIA

This work aim at measuring the relative technical efficiency and the frontiers of production in Rio Grande do Sul and Mostardas County irrigated rice production, considering the rice census database carried out by the Rio Grandense Rice Institute (IRGA), harvest 2004/2005. This survey seeks to identify the determining factors of this rice production efficiency. It is used as analytical modeling the Data Envelopment Analysis (DEA) on quantitative approach, and Tobit?s regression model on qualitative approach, considering census information base of 133 rice growing municipalities in the region of Rio Grande do Sul and the total of 337 rice crops in Mostardas, in addition to a set of variables that comprise rice growers techno-agronomics data and socio-economic conditions. As a backdrop, this paper demands support for an approximation of classic political economy concepts: the Ricardian income of the land and the Marxist productive force development. This survey seeks to verify which variables as education, experience in cultivation, technical assistance, soil fertility elements, and cultivation systems, have no significant influence in the efficiency levels. The land and the capital productivity and the use of water either own or leased are relevant for productive efficiency measurement and determination, and there is no significant difference of land and capital efficiency and productivity among producing owners and producing leasers; lands and these leased waters are the bedrock, respectively, of 60 % and 40 % in Rio Grande do Sul rice production and 54 % and 30 % in Mostardas rice product, taking into account the empirical cutout of this work.