Magalhães et al. (2006)Magalhães, A. M., Silveira Neto, R., Dias, F. M., & Barros, A. R. (2006). A experiência recente do PRONAF em Pernambuco: Uma análise por meio de propensity score. Economia Aplicada, 10(1), 57-74. http://dx.doi.org/10.1590/S1413-80502006000100004 http://dx.doi.org/10.1590/S1413-80502006...
|
Pronaf beneficiaries and non-beneficiaries |
OLS and Propensity Score |
Family farmers in the state of Pernambuco |
2001 |
Primary |
1 – Production value; 2 – Production value per hectare; 3 - Production value per person; |
Garcias & Kassouf (2016)Garcias, M. O., & Kassouf, A. L. (2016). Assessment of rural credit impact on land and labor productivity for Brazilian family farmers. Nova Economia, 26(3), 721-746. http://dx.doi.org/10.1590/0103-6351/2761 http://dx.doi.org/10.1590/0103-6351/2761...
|
Greater and lesser restrictions to credit |
Propensity score matching |
Brazilian municipalities |
2006 |
Agricultural Census /IBGE |
1 – Land productivity; 2 – Labor productivity |
Gasques et al. (2017)Gasques, J. G., Bacchi, M. R. P., & Bastos, E. T. (2017). Impactos do crédito rural sobre variáveis do agronegócio. Revista de Política Agrícola, 26(4), 132-140.
|
Total rural credit |
Transfer functions in time series with AR and MA components |
Brazil |
1996 to 2015 |
Central Bank; IBGE; Cepea/USP e MAPA |
1 - Gross value of production; 2 - Agribusiness GDP; 3 – Agricultural GDP; 4 - TFP |
Araújo & Vieira Filho (2018)Araújo, J. A., & Vieira Filho, J. E. R. (2018). Análise dos impactos do Pronaf na agricultura do Brasil no período de 2007 a 2016 (Texto para Discussão, No. 2412). Rio de Janeiro: IPEA.
|
Quantity and total value of Pronaf agriculture and livestock contracts |
Panel vector autoregressive |
26 states and Federal District in Brazil |
2007 to 2016 |
Central Bank and IBGE |
1 - Planted area; 2 - Gross value of agricultural and livestock production; 3 - Land productivity |
Costa & Freitas (2018)Costa, L. V., & Freitas, C. O. (2018). Crédito e extensão rural: impactos isolados e da sinergia sobre a eficiência técnica dos agricultores brasileiros. In Anais do 46º Encontro Nacional de Economia. Niterói: ANPEC.
|
Access to rural credit |
stochastic frontier and sample selection model |
Farmers in Brazil |
2006 |
Microdata-Agricultural Census /IBGE |
1 – Technical efficiency |
Costa & Vieira Filho (2018) |
Quantity and value of contracts by segment (agriculture or livestock) |
Panel vector autoregressive |
26 states and Federal District in Brazil |
2007 to 2016 |
Central Bank and IBGE |
1 - Planted area; 2 - Quantity harvested; 3 - Value of agricultural production; 4-Number of cattle; |
Assunção & Souza (2019)Assunção, J., & Souza, P. (2019). Resumo para política pública: o impacto do crédito rural na agricultura brasileira e no meio ambiente. Rio de Janeiro: Climate Policy Initiative.
|
Total rural credit |
Shift-share models in panel data |
Brazilian municipalities |
2002 to 2015 |
Central Bank, IBGE, MapBiomas and RAIS |
1 – Municipal GDP; 2 Agricultural GDP; 3 –Land and labor productivity; 4 – Planted area |
Araújo et al. (2020a)Araújo, J. A., Alencar, M. O., & Vieira Filho, J. E. R. (2020a). Crédito rural e agricultura familiar no Brasil: uma avaliação do Programa Nacional de Fortalecimento da Agricultura Familiar. Redes, 25(2), 2009-2034. http://dx.doi.org/10.17058/redes.v25i0.14470 http://dx.doi.org/10.17058/redes.v25i0.1...
|
Pronaf beneficiaries and non-beneficiaries |
Propensity score matching |
Farmers in Brazil |
2014 |
PNAD/IBGE |
1 – Agricultural income; 2 – Land productivity |
Eusébio et al. (2020)Eusébio, G. S., Maia, A. G., & Silveira, R. L. F. (2020). Crédito rural e impacto sobre o valor da produção agropecuária: uma análise para agricultores não familiares. Gestão & Regionalidade, 36(108), 89-109. http://dx.doi.org/10.13037/gr.vol36n108.5622 http://dx.doi.org/10.13037/gr.vol36n108....
|
Access to rural credit |
Two-Stage Estimation Method |
Non-family farmers in Brazil |
2006 |
Microdata - Agricultural Census /IBGE |
1 - Total production value |
Figueira (2020)Figueira, S. R. F. (2020). Impactos dos preços e do crédito rural sobre a produção de cana-de-açúcar no estado de São Paulo. Revista de Economia e Sociologia Rural, 58(4), e186266. http://dx.doi.org/10.1590/1806-9479.2020.186266 http://dx.doi.org/10.1590/1806-9479.2020...
|
total rural credit for agricultural activity |
Panel data: pooled, fixed and random effect |
Rural Development Offices in São Paulo (municipalities) |
1995 to 2012 |
Central Bank |
1 – Area planted with sugar cane; 2 – Sugarcane productivity |
Freitas et al. (2020)Freitas, C. O., Silva, F. A., & Teixeira, E. C. (2020). Crédito rural e desempenho produtivo na agropecuária brasileira. In J. E. R. Vieira Filho & J. G. Gasques (Eds.), Uma jornada pelos contrastes do Brasil: cem anos do Censo Agropecuário. Brasília: IPEA. http://dx.doi.org/10.38116/978-65-5635-011-0/cap20. http://dx.doi.org/10.38116/978-65-5635-0...
|
Greater and lesser access to rural credit by resource source |
OLS and Entropy Balancing; Stochastic frontier |
Brazilian municipalities |
2017 |
Agricultural Census /IBGE |
1 – Value of agricultural production; 2 – Technical efficiency |
Maia et al. (2019)Maia, A. G., Eusébio, G. S., & Silveira, R. L. F. (2019). Can credit help small family farming? Evidence from Brazil. Agricultural Finance Review, 80(2), 212-230. http://dx.doi.org/10.1108/AFR-10-2018-0087 http://dx.doi.org/10.1108/AFR-10-2018-00...
|
Pronaf beneficiaries and non-beneficiaries |
Propensity score matching |
Farmers in Brazil and Regions |
2006 |
Microdata - Agricultural Census /IBGE |
1 – Value of agricultural production; |
Araújo et al. (2021)Araújo, B. S., Heck, C. R., & Carrara, A. F. (2021). Crédito rural e mecanização da agricultura: o impacto do Moderfrota. Revista de Política Agrícola, 30(4), 45-63.
|
Total value of MODERFROTA program |
Structural vector error correction |
Brazil |
2002 to 2019 |
IPEA; BNDES; IBGE; |
1 – Agricultural GDP; 2 – Harvested area |
Souza et al. (2021)Souza, P., Mourão, J., & Assunção, J. (2021). Os Impactos do crédito rural na agropecuária e no uso da terra: uma análise dos biomas brasileiros. Rio de Janeiro: Climate Policy Initiative.
|
Total rural credit |
Shift-share models in panel data |
Brazilian municipalities–by biomes |
2002 to 2018 |
Central Bank, IBGE, MapBiomas |
1–Planted areas; 2–Agricultural production; 3–Land productivity. |
Borges & Parré (2022)Borges, M. J., & Parré, J. L. (2022). O impacto do crédito rural no produto agropecuário brasileiro. Revista de Economia e Sociologia Rural, 60(2), e230521. http://dx.doi.org/10.1590/1806-9479.2021.230521 http://dx.doi.org/10.1590/1806-9479.2021...
|
Total rural credit and by purpose |
Vector autoregressive |
|
1999 to 2018 |
Central Bank, IBGE |
1 - Agricultural GDP |