Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/211361 
Year of Publication: 
2018
Series/Report no.: 
Texto para Discussão No. 2412
Publisher: 
Instituto de Pesquisa Econômica Aplicada (IPEA), Brasília
Abstract (Translated): 
This discussion paper analyzes the impacts of Pronaf on agriculture and livestock for the 26 Federative Units and the Federal District of Brazil in the period between 2007 and 2016. The Panel Auto Regressive Vector method was used to measure the effects of credit shocks offered by Pronaf, through the quantity and value added of the agriculture and livestock contracts, over the planted area; gross value of agricultural and livestock production and land productivity. By means of information from the Central Bank (BCB) and the Brazilian Institute of Geography and Statistics (IBGE), the results indicate that the impulse response of the planted area, the production value and the productivity of the land, to a credit shock generated a positive response over a period until they changed direction and converged to zero after the sixth period. However, there are conflicting results when the shock occurs in the number of Pronaf contracts for agriculture. It is concluded that Pronaf imposes selection bias and does not encourage the farmer to diversify his production, thus, promoting development and reducing rural poverty will be compromised and therefore needs to be restructured.
Subjects: 
rural credit
farming
VAR in panel
JEL: 
J30
J38
Q19
Document Type: 
Working Paper

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