01850naa a2200229 a 450000100080000000500110000800800410001910000220006024501040008226000090018630000100019552009840020565000160118965300150120565300240122065300250124470000170126970000160128670000180130270000200132077302800134016642042010-04-14       2009    bl uuuu     u00u1 u    #d1 aSOUZA, G. da S. e  aA parametric approach for evaluating the technical efficiency of the brazilian agricultural sector.  c2009  a12 p.  aIn this study we assessed the technical efficiency of the 27 Brazilian states in the years 1995/96 and 2006. The data on land and labor were otained from the agricultural census of the two considered periods. Data on credit for investment and running costs were obtained from the Brazilian Central Bank reports. In the analysis we used a DEA CCR model and a stochastic frontier with technical effects. The second model better fit the data, with 99% of correlation between predicted and observed values. The results show that Distrito Federal had the highest technical efficiency in agriculture in 2006 and the second highest in 1995/96. The lowest technical efficiency was found int Piauí in 2006 and in Tocantins in 1995/96. The estimated elasticities show that increases of 1% in per captia income would increase the technical efficiency by 0.77% in the North, by 0.76% in the Northeast, by o.59% in the Center-West, by 0.56% in the South and by 0.49% in the Southeast region.  aagriculture  aElasticity  aStochastic frontier  aTechnical efficiency1 aGOMES, E. G.1 aGAZZOLA, R.1 aWANDER, A. E.1 aSOUZA, R. da S.  tIn: INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND OPERATION MANAGEMENT, 15., 2009, Salvador. The industrial engineering and the sustainable development: integrating technology and management. Rio de Janeiro: Associação Brasileira de Engenharia de Produção, 2009.