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Registro Completo
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Biblioteca(s): |
Embrapa Unidades Centrais. |
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Data corrente: |
02/12/2022 |
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Data da última atualização: |
02/02/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
SOUZA, G. da S. e; GOMES, E. G. |
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Afiliação: |
GERALDO DA SILVA E SOUZA, UNIVERSIDADE DE BRASÍLIA; ELIANE GONCALVES GOMES, SUEST. |
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Título: |
Assessing the influence of external factors on agricultural production in Brazil. |
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Ano de publicação: |
2023 |
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Fonte/Imprenta: |
Socio-Economic Planning Sciences, v. 85, 2023. |
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Páginas: |
8 p. |
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DOI: |
https://doi.org/10.1016/j.seps.2022.101440 |
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Idioma: |
Inglês |
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Conteúdo: |
This 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. |
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Thesaurus NAL: |
Agricultural products; Climate change; Integrated agricultural systems; Probability analysis. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 01636naa a2200205 a 4500
001 2149178
005 2023-02-02
008 2023 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1016/j.seps.2022.101440$2DOI
100 1 $aSOUZA, G. da S. e
245 $aAssessing the influence of external factors on agricultural production in Brazil.$h[electronic resource]
260 $c2023
300 $a8 p.
520 $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.
650 $aAgricultural products
650 $aClimate change
650 $aIntegrated agricultural systems
650 $aProbability analysis
700 1 $aGOMES, E. G.
773 $tSocio-Economic Planning Sciences$gv. 85, 2023.
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