Socioeconomic profile and technological of fruit growers in irrigated Cariri region, Ceara

• Autor(a) principal: OtÃcio Pereira Gomes
• Data de Publicação: 2015
• Tipo de documento: Dissertação
• Idioma: por
• Título da fonte: Biblioteca Digital de Teses e Dissertações da UFC
• Texto Completo: http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=14147
• topic: Fruticultores; Tecnologia; EficiÃncia TÃcnica; Fruit Growers; Technology; Technical Efficiency; ECONOMIA

It aims to analyze the socioeconomic profile of producers of irrigated fruit in the Cariri and measure the technological level, identifying the factors that influence each level. The measurement of technological index of fruit growers allows you to identify the level of technology used by producers. Have the technical efficiency scores of caririenses fruit growers and the identification of the effects of socioeconomic variables on efficiency levels allowed capture the impact of these determinants along different points of the conditional distribution of technical efficiency. In preparing the technological index was used factor analysis, and to measure the index of efficiency scores were applied in determining the analysis of data envelopment analysis (DEA) models and quantile regression. Came indicators of primary sources, collected in 2014, directly, with 86 growers located in six municipalities of the Cariri. The results show that in most cases, the growers (53.49%) have only to primary education, and only 16.28% can only sign his name. You can still see that 31.40% of producers have secondary education and that is down the number of illiterate farmers (3.49%) and they have 30-50 years of age (66.67%) and also that 75 , 68% of growers have over five years experience in the activity. The results also show that 42.66% of the fruit growers of the region not participating unions have no access to any type of credit; 72.73% of these already, participating cooperatives or associations, hold some kind of credit. For the technological indexes classified as very low, there were two growers, 30 of them were considered low-tech, 53 fruit growers have considered average index and fruit grower demonstrated considered high index, 0.62 to 0.78, with relative frequency of 1, 16%. There were no fruit growers with very high rates for technology adoption. The variables that contributed most to indicate adoption of technological improvements in that index were Total Area, Gross Income and Total Production, result justified by the increased variance indicated by the data, a total of 24.058%, represented by the factor 1 (intensive Productivity) technology. The quantile regression was estimated, considering the technical efficiency scores obtained in the constant returns to scale model, the results show that the explanatory factors of technical efficiency for the group of more efficient producers are important in explaining the efficiency of this group. For the less efficient growers group, it is observed that among the six explanatory variables, only management index, credit and education played irrelevant role in explaining variations in technical efficiency level, since the coefficients of these variables were not statistically significant, in this case, there is no difference between fruit growers with access to credit and those without and between grade levels, ie, if the producer has secondary or higher education or do not have that level of education.