01636naa a2200205 a 450000100080000000500110000800800410001902400520006010000220011224501090013426000090024330000090025252009950026165000260125665000190128265000360130165000250133770000170136277300510137921491782023-02-02       2023    bl uuuu     u00u1 u    #d7 ahttps://doi.org/10.1016/j.seps.2022.1014402DOI1 aSOUZA, G. da S. e  aAssessing the influence of external factors on agricultural production in Brazil.h[electronic resource]  c2023  a8 p.  aThis article uses 2017 Brazilian agricultural census data (aggregated at county level) to evaluate the impact of external factors on agricultural efficiency in Brazil. The external factors are defined as access to credit, participation in cooperatives, proportion of literacy, technical assistance, and environmental production practices. All variables are transformed as the log of the municipal (county) rank. The response variable is defined as the free disposal hull (FDH) conditional ratio and a one-inflated beta regression is estimated. The results show that in counties where the FDH ratio is equal to 1, cooperatives have the biggest impact on efficiency, and where the FDH ratio is not equal to 1, environmental practices, which are most often associated with technology, have the largest effect on efficiency. Finally, the regions that are expected to see the largest gains in efficiency with increases in external factors are the Northeastern and the Northern regions of Brazil.  aAgricultural products  aClimate change  aIntegrated agricultural systems  aProbability analysis1 aGOMES, E. G.  tSocio-Economic Planning Sciencesgv. 85, 2023.