Dinâmica socioeconômica da agricultura familiar e o papel do crédito: uma análise de dados em painel

Abstract

Local development takes into account the improvement of people’s quality of life, as well as increased and production. And, Technical Assistance and Rural Extension are policies that seek this development. In this perspective, the main objective of this paper was to analyze the sociodemographic profile of the families residing in the Barra Nova settlement, located in the Sidrolandia-MS city, and how changes occurred after the implementation of a technical assistance project rural and the access of the credit. The data were provided by the National Institute for Colonization and Agrarian Reform referring to the period from 2013 to 2015. For this, the panel data methodology was used, to analyze the same individual in different periods, from the production of the property. The sociodemographic situation of the families and the economic and social variables were also analyzed. The results showed that the majority of the owners of the lots are men, with average age of 49 years. Still, it was observed the presence of a large percentage of young people in the settlement, an important indicator for the elaboration of public policies directed at this part of the population. He noticed that there was an improvement in the settlement during the period of analysis regarding: electric power, access to PRONAF, productive assets, income obtained from the sale of the products of the lot. However, it also noted that most of the water consumed by households is not treated, which is a reality still very much present in rural areas. It should be noted that the number of households producing for self-consumption and the diversification of production for marketing increased. From the panel data analysis, it was found that Pronaf had an influence on the level of yield of the production of the lot one year after the families had access to this credit, as well as the choice of the commercialization channel and the breeding of animals also generates effect on the level of income. The random effect model explains better relation between the explanatory variables and the dependent variable.