Rural Credit and Gross Value of Agricultural Production: an analysis of Brazilian states

Detalhes bibliográficos
Autor(a) principal: Stamm, Cristiano
Data de Publicação: 2023
Outros Autores: Benevides Ferreira, Raiane, Jamestony de Carvalho e Souza, Kennedy
Tipo de documento: Artigo
Idioma: por
eng
Título da fonte: Redes (Santa Cruz do Sul. Online)
Texto Completo: https://online.unisc.br/seer/index.php/redes/article/view/17486
Resumo: One of the main mechanisms of agricultural policy over the years has been rural credit, with significant contributions to the development and expansion of Brazilian agricultural production. Thus, this study analyzes the impact of total rural credit in the forms of financing, investment, and commercialization on the gross value of agricultural production in Brazilian states from 2005 to 2020. Methodologically, the panel data model and Granger causality test proposed by Dumitrescu and Hurlin (2012) were used. The results obtained, through the panel data model, indicated that only rural credit for investment and harvested area had a positive and significant impact on the gross value of agricultural production. Regarding the Granger causality tests, they identified different causal relationships for the distinct credit modalities and for different lag levels, leading to the conclusion that there is a significant temporal precedence between rural credit and the gross value of agricultural production in Brazilian states - regardless of the number of lags included in the model, rejecting the null hypothesis of homogeneous non-causality.
id UNISC-6_240395671b2c3477ff4f064b3057960c
oai_identifier_str oai:ojs.online.unisc.br:article/17486
network_acronym_str UNISC-6
network_name_str Redes (Santa Cruz do Sul. Online)
repository_id_str
spelling Rural Credit and Gross Value of Agricultural Production: an analysis of Brazilian statesCrédito Rural y Valor Bruto de la Producción Agropecuaria: un análisis de los estados brasileñosCrédito Rural e Valor Bruto da Produção Agropecuária: uma análise dos estados brasileirosAgricultural PolicyFinancingPanel CausalityPanel DataPolítica AgrícolaFinanciamentoCausalidade em PainelDados em PainelPolítica agrícolaFinanciaciónPanel de causalidadDatos del tableroOne of the main mechanisms of agricultural policy over the years has been rural credit, with significant contributions to the development and expansion of Brazilian agricultural production. Thus, this study analyzes the impact of total rural credit in the forms of financing, investment, and commercialization on the gross value of agricultural production in Brazilian states from 2005 to 2020. Methodologically, the panel data model and Granger causality test proposed by Dumitrescu and Hurlin (2012) were used. The results obtained, through the panel data model, indicated that only rural credit for investment and harvested area had a positive and significant impact on the gross value of agricultural production. Regarding the Granger causality tests, they identified different causal relationships for the distinct credit modalities and for different lag levels, leading to the conclusion that there is a significant temporal precedence between rural credit and the gross value of agricultural production in Brazilian states - regardless of the number of lags included in the model, rejecting the null hypothesis of homogeneous non-causality.Uno de los principales mecanismos de la política agrícola a lo largo de los años ha sido el crédito rural, con importantes contribuciones al desarrollo y expansión de la producción agropecuaria brasileña. Por lo tanto, este estudio analiza el impacto del crédito rural total en las modalidades de financiamiento, inversión y comercialización sobre el valor bruto de la producción agropecuaria de los estados brasileños, de 2005 a 2020. Metodológicamente, se utilizó el modelo de datos en panel y la prueba de causalidad de Granger propuesta por Dumitrescu y Hurlin (2012). Los resultados obtenidos, a través del modelo de datos en panel, indicaron que solo el crédito rural para inversión y el área cosechada tuvieron un impacto positivo y significativo en el valor bruto de la producción agropecuaria. En cuanto a las pruebas de causalidad de Granger, estas identificaron diferentes relaciones causales para las distintas modalidades de crédito y para diferentes niveles de rezagos, lo que llevó a la conclusión de que existe una precedencia temporal significativa entre el crédito rural y el valor bruto de la producción agropecuaria de los estados brasileños, independientemente del número de rezagos incluidos en el modelo, rechazando la hipótesis nula de no causalidad homogénea.Um dos principais mecanismos da política agrícola ao longo dos anos é o crédito rural, com importantes contribuições para o desenvolvimento e expansão da produção agropecuária brasileira. Desta forma, este estudo analisa o impacto do crédito rural total nas modalidades custeio, investimento e comercialização sobre o valor bruto da produção agropecuária dos estados brasileiros, de 2005 a 2020. Metodologicamente, utilizou-se o modelo de dados em painel e o teste de causalidade de Granger proposto por Dumitrescu e Hurlin (2012). Os resultados obtidos, por meio do modelo de dados em painel, indicaram que apenas o crédito rural para investimento e a área colhida exerceram impacto positivo e significativo sobre o valor bruto da produção agropecuária. Quanto aos testes de causalidade de Granger, estes identificaram diferentes relações de causalidade para as distintas modalidades de crédito e para os diferentes níveis de defasagens, levando a concluir que existe uma precedência temporal significativa entre o crédito rural e o valor bruto da produção agropecuária dos estados brasileiros - independentemente do número de defasagens incluídas no modelo, rejeitando a hipótese nula de não causalidade homogênea.Edunisc - Universidade de Santa Cruz do Sul2023-05-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttps://online.unisc.br/seer/index.php/redes/article/view/1748610.17058/redes.v28i1.17486Redes ; Vol. 28 (2023)Redes; Vol. 28 (2023)Redes; Vol. 28 (2023)Redes; v. 28 (2023)1982-6745reponame:Redes (Santa Cruz do Sul. Online)instname:Universidade de Santa Cruz do Sul (UNISC)instacron:UNISCporenghttps://online.unisc.br/seer/index.php/redes/article/view/17486/10970https://online.unisc.br/seer/index.php/redes/article/view/17486/10971Copyright (c) 2023 Redesinfo:eu-repo/semantics/openAccessStamm, CristianoBenevides Ferreira, RaianeJamestony de Carvalho e Souza, Kennedy2023-05-03T20:12:10Zoai:ojs.online.unisc.br:article/17486Revistahttp://online.unisc.br/seer/index.php/redeshttp://online.unisc.br/seer/index.php/redes/oairedes_unisc_maff@terra.com.br||etges@unisc.br1982-67451414-7106opendoar:2023-05-03T20:12:10Redes (Santa Cruz do Sul. Online) - Universidade de Santa Cruz do Sul (UNISC)false
dc.title.none.fl_str_mv Rural Credit and Gross Value of Agricultural Production: an analysis of Brazilian states
Crédito Rural y Valor Bruto de la Producción Agropecuaria: un análisis de los estados brasileños
Crédito Rural e Valor Bruto da Produção Agropecuária: uma análise dos estados brasileiros
title Rural Credit and Gross Value of Agricultural Production: an analysis of Brazilian states
spellingShingle Rural Credit and Gross Value of Agricultural Production: an analysis of Brazilian states
Stamm, Cristiano
Agricultural Policy
Financing
Panel Causality
Panel Data
Política Agrícola
Financiamento
Causalidade em Painel
Dados em Painel
Política agrícola
Financiación
Panel de causalidad
Datos del tablero
title_short Rural Credit and Gross Value of Agricultural Production: an analysis of Brazilian states
title_full Rural Credit and Gross Value of Agricultural Production: an analysis of Brazilian states
title_fullStr Rural Credit and Gross Value of Agricultural Production: an analysis of Brazilian states
title_full_unstemmed Rural Credit and Gross Value of Agricultural Production: an analysis of Brazilian states
title_sort Rural Credit and Gross Value of Agricultural Production: an analysis of Brazilian states
author Stamm, Cristiano
author_facet Stamm, Cristiano
Benevides Ferreira, Raiane
Jamestony de Carvalho e Souza, Kennedy
author_role author
author2 Benevides Ferreira, Raiane
Jamestony de Carvalho e Souza, Kennedy
author2_role author
author
dc.contributor.author.fl_str_mv Stamm, Cristiano
Benevides Ferreira, Raiane
Jamestony de Carvalho e Souza, Kennedy
dc.subject.por.fl_str_mv Agricultural Policy
Financing
Panel Causality
Panel Data
Política Agrícola
Financiamento
Causalidade em Painel
Dados em Painel
Política agrícola
Financiación
Panel de causalidad
Datos del tablero
topic Agricultural Policy
Financing
Panel Causality
Panel Data
Política Agrícola
Financiamento
Causalidade em Painel
Dados em Painel
Política agrícola
Financiación
Panel de causalidad
Datos del tablero
description One of the main mechanisms of agricultural policy over the years has been rural credit, with significant contributions to the development and expansion of Brazilian agricultural production. Thus, this study analyzes the impact of total rural credit in the forms of financing, investment, and commercialization on the gross value of agricultural production in Brazilian states from 2005 to 2020. Methodologically, the panel data model and Granger causality test proposed by Dumitrescu and Hurlin (2012) were used. The results obtained, through the panel data model, indicated that only rural credit for investment and harvested area had a positive and significant impact on the gross value of agricultural production. Regarding the Granger causality tests, they identified different causal relationships for the distinct credit modalities and for different lag levels, leading to the conclusion that there is a significant temporal precedence between rural credit and the gross value of agricultural production in Brazilian states - regardless of the number of lags included in the model, rejecting the null hypothesis of homogeneous non-causality.
publishDate 2023
dc.date.none.fl_str_mv 2023-05-09
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://online.unisc.br/seer/index.php/redes/article/view/17486
10.17058/redes.v28i1.17486
url https://online.unisc.br/seer/index.php/redes/article/view/17486
identifier_str_mv 10.17058/redes.v28i1.17486
dc.language.iso.fl_str_mv por
eng
language por
eng
dc.relation.none.fl_str_mv https://online.unisc.br/seer/index.php/redes/article/view/17486/10970
https://online.unisc.br/seer/index.php/redes/article/view/17486/10971
dc.rights.driver.fl_str_mv Copyright (c) 2023 Redes
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2023 Redes
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Edunisc - Universidade de Santa Cruz do Sul
publisher.none.fl_str_mv Edunisc - Universidade de Santa Cruz do Sul
dc.source.none.fl_str_mv Redes ; Vol. 28 (2023)
Redes; Vol. 28 (2023)
Redes; Vol. 28 (2023)
Redes; v. 28 (2023)
1982-6745
reponame:Redes (Santa Cruz do Sul. Online)
instname:Universidade de Santa Cruz do Sul (UNISC)
instacron:UNISC
instname_str Universidade de Santa Cruz do Sul (UNISC)
instacron_str UNISC
institution UNISC
reponame_str Redes (Santa Cruz do Sul. Online)
collection Redes (Santa Cruz do Sul. Online)
repository.name.fl_str_mv Redes (Santa Cruz do Sul. Online) - Universidade de Santa Cruz do Sul (UNISC)
repository.mail.fl_str_mv redes_unisc_maff@terra.com.br||etges@unisc.br
_version_ 1800218774314418176

Registros relacionados