Navegando por Assunto "Índices de Desempenho Produtivo (IDP)"

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Caracterização do sistema produtivo da aquicultura da microrregião de Cametá – Pará
(Universidade Federal do Pará, 2013) FERREIRA, Palmira Francisca Gonçalves; FUJIMOTO, Rodrigo Yudi; http://lattes.cnpq.br/9538142371454660
This research is aimed to present a diagnosis of aquaculture activity in the micro region of Cametá - Pará, emphasizing the factors that influence the development of activity and the level of competitiveness through the Competitive Performance Index (CPI) in order to provide indicators that can facilitate decision making in the areas of promoting aquaculture establishment as an economic activity. Data collection was performed by using questionnaires that sought to investigate the aspects relevant to productive activity. The data was processed and analyzed using the statistical SPSS software, version 13. This software made it possible to obtain a reduced linear structure of the original data set, through the summarization of the information contained in the variables creating smaller variable sets lalled factors, to identify the Competitive Performance Index (CPI) with respect to the variables studied. The results showed that 70.50% of the region's farmers have a primary education and only 1.44% attended or initiated higher education. 91,37% of the employees are members of the farm owners family. The average area intended for cultivation was 500 m2. The largest was found in Oeiras do Pará, which is also the largest municipality in area. The means of production include the creation of ponds in lowland areas (78.05%), in net-cage 13,3% and conventional production system with 8,65%. The prevalent mode of cultivation is the monoculture, especially the round fish tambaqui and tambacu (54%). Factor analysis extracted four factors representative of the development in the region: the productive system dimension, which explained about 27% of the total variance; commercial dimension, accounting for 15.15%; efficiencydimension explained 13.3% of the total and work dimension that explained 12.5% of the total variance. These factors influence the development of activity and should direct the actions of rural entrepreneurs and policy with the aim of improving fish farms so that they can boost production and meet growing demands for food quality.