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Appendix: Closing the Rural Credit Divide
The document presents linear regression models based on 2017 Agricultural Census data to determine the impact of cooperatives and technical assistance (ATER) on the share of smallholder farmers accessing PRONAF in Brazil. The results indicate that both cooperative membership and ATER access are significant positive drivers of credit access across all analyzed regions, while illiteracy did not yield significant results.
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Document type: Research paper
Quem Fica de Fora do Pronaf?
The document details a quantitative analysis of Pronaf access in Brazil, using 2017 Agricultural Census data. It employs linear regressions to assess how the presence of cooperatives and Technical Assistance and Rural Extension (ATER) services impact the share of family farmers accessing the program. The results indicate that both cooperatives and ATER have a statistically significant positive effect on Pronaf access, with the South region showing a positive correlation and the North, Northeast, and Southeast regions showing negative correlations relative to the baseline.
AI-generated
This summary is written by a language model reading the source document. It is not the publisher's words and is not a substitute for the original.
Document type: Research paper