|
|
Registros recuperados : 54 | |
27. | ![Imagem marcado/desmarcado](/consulta/web/img/desmarcado.png) | GASQUES, J. G.; SOUZA, G. da S. e; BASTOS, E. T.; GOMES, E. G.; DOSSA, D. Brasil: projeções do agronegócio 2011/2012 a 2021/2022. In: CONGRESSO DA SOCIEDADE BRASILEIRA DE ECONOMIA, ADMINISTRAÇÃO E SOCIOLOGIA RURAL, 50., 2012, Vitória. Agricultura e desenvolvimento rural com sustentabilidade: anais. Vitória: Sociedade Brasileira de Economia, Administração e Sociologia Rural; UFES, 2012. p. 1-20. Biblioteca(s): Embrapa Unidades Centrais. |
| ![Visualizar detalhes do registro](/consulta/web/img/visualizar.png) ![Acesso ao objeto digital](/consulta/web/img/pdf.png) ![Imprime registro no formato completo](/consulta/web/img/print.png) |
29. | ![Imagem marcado/desmarcado](/consulta/web/img/desmarcado.png) | CONTINI, E.; GASQUES, J. G.; LEONARDI, R. B. de A.; BASTOS, E. T. Evolução recente e tendências do agronegócio. Revista de Política Agrícola, Brasília, DF, ano 15, n. 1, p. 5-28, jan./mar. 2006. Biblioteca(s): Embrapa Agricultura Digital; Embrapa Unidades Centrais. |
| ![Visualizar detalhes do registro](/consulta/web/img/visualizar.png) ![Acesso ao objeto digital](/consulta/web/img/pdf.png) ![Imprime registro no formato completo](/consulta/web/img/print.png) |
31. | ![Imagem marcado/desmarcado](/consulta/web/img/desmarcado.png) | CONTINI, E.; GASQUES, J. G.; ALVES, E. R. de A.; BASTOS, E. T. Dinamismo da agricultura brasileira. Revista de Política Agrícola, Brasília, DF v. 19, Edição Especial, p. 42-64, jul. 2010. 1Revisão e atualização de artigo publicado no livro Agricultura Tropical. Embrapa, Brasília, 2008. Na publicação: Eliseu Alves. Biblioteca(s): Embrapa Unidades Centrais. |
| ![Visualizar detalhes do registro](/consulta/web/img/visualizar.png) ![Acesso ao objeto digital](/consulta/web/img/pdf.png) ![Imprime registro no formato completo](/consulta/web/img/print.png) |
35. | ![Imagem marcado/desmarcado](/consulta/web/img/desmarcado.png) | CONTINI, E.; MARTHA JUNIOR, G. B.; GASQUES, J. G.; VIEIRA JUNIOR, P. A. O papel das políticas públicas no Cerrado. In: BOLFE, E. L.; SANO, E. E.; CAMPOS, S. K. (Ed.). Dinâmica agrícola no cerrado: análises e projeções. Brasília, DF: Embrapa, 2020. v. 1, cap. 3, p. 59-88. Biblioteca(s): Embrapa Agricultura Digital; Embrapa Unidades Centrais. |
| ![Visualizar detalhes do registro](/consulta/web/img/visualizar.png) ![Acesso ao objeto digital](/consulta/web/img/pdf.png) ![Imprime registro no formato completo](/consulta/web/img/print.png) |
40. | ![Imagem marcado/desmarcado](/consulta/web/img/desmarcado.png) | CONTINI, E.; GASQUES, J. G.; LEONARDI, R. B. de A.; BASTOS, E. T. Projeções do agronegócio no Brasil. Revista de Política Agrícola, Brasília, DF, ano 15, n. 1, p. 57-83, jan./mar. 2006. Biblioteca(s): Embrapa Agricultura Digital; Embrapa Unidades Centrais. |
| ![Visualizar detalhes do registro](/consulta/web/img/visualizar.png) ![Acesso ao objeto digital](/consulta/web/img/pdf.png) ![Imprime registro no formato completo](/consulta/web/img/print.png) |
Registros recuperados : 54 | |
|
|
![](/consulta/web/img/deny.png) | Acesso ao texto completo restrito à biblioteca da Embrapa Unidades Centrais. Para informações adicionais entre em contato com biblioteca@embrapa.br. |
Registro Completo
Biblioteca(s): |
Embrapa Unidades Centrais. |
Data corrente: |
10/12/2021 |
Data da última atualização: |
10/12/2021 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 1 |
Autoria: |
SOUZA, G. da S. e; GOMES, E. G.; ALVES, E. R. de A.; GASQUES, J. G. |
Afiliação: |
GERALDO DA SILVA E SOUZA, SIRE; ELIANE GONCALVES GOMES, SIRE; ELISEU ROBERTO DE ANDRADE ALVES, DE/PR; JOSÉ GARCIA GASQUES, MAPA. |
Título: |
Technological progress in the Brazilian agriculture. |
Ano de publicação: |
2020 |
Fonte/Imprenta: |
Socio-Economic Planning Sciences, v. 72, Dec. 2020, 100879. |
DOI: |
https://doi.org/10.1016/j.seps.2020.100879 |
Idioma: |
Inglês |
Conteúdo: |
ABSTRACT - We analyze technical progress in the Brazilian agriculture in the period 1976?2016. Output is production value and inputs are expenses on land, labor, and other inputs. Data Envelopment Analysis (DEA) measures are used to capture technological progress via efficiency analysis. Filtering the data with a moving average and fractional regression we identify four periods with distinct behavior of technical efficiency under constant or decreasing returns to scale. From 1976 to 1988 and from 1996 to 2007 technical efficiency decreases at statistically significant rates of - 1.74% and - 0.26% respectively. From 1989 to 1995 and from 2008 to 2016 efficiency increases at statistically significant rates of 1.53% and 1.75% respectively. Efficiency of input use varies in these periods and is computed as a byproduct of the DEA analysis. We observe a more efficient usage of land and other inputs. A parametric fit using adjusted efficient inputs indicate the relative elasticities of 40.5%, 38.5% and 21.0% for other inputs, land and labor, respectively. Technological progress increases 3.73% in the period 1976?1988, decreases 1,58% between 1989 and 1995, increases 0.17% in the period 1996?2007 and increases 1.01% between 2008 and 2016. Technological inputs are statistically significantly influential on total factor productivity as indicated by an infinite distributed lag model. The long run elasticity effect is 39.5%. The effect of investments (public) in agricultural research has a significant elasticity of 0.835. MenosABSTRACT - We analyze technical progress in the Brazilian agriculture in the period 1976?2016. Output is production value and inputs are expenses on land, labor, and other inputs. Data Envelopment Analysis (DEA) measures are used to capture technological progress via efficiency analysis. Filtering the data with a moving average and fractional regression we identify four periods with distinct behavior of technical efficiency under constant or decreasing returns to scale. From 1976 to 1988 and from 1996 to 2007 technical efficiency decreases at statistically significant rates of - 1.74% and - 0.26% respectively. From 1989 to 1995 and from 2008 to 2016 efficiency increases at statistically significant rates of 1.53% and 1.75% respectively. Efficiency of input use varies in these periods and is computed as a byproduct of the DEA analysis. We observe a more efficient usage of land and other inputs. A parametric fit using adjusted efficient inputs indicate the relative elasticities of 40.5%, 38.5% and 21.0% for other inputs, land and labor, respectively. Technological progress increases 3.73% in the period 1976?1988, decreases 1,58% between 1989 and 1995, increases 0.17% in the period 1996?2007 and increases 1.01% between 2008 and 2016. Technological inputs are statistically significantly influential on total factor productivity as indicated by an infinite distributed lag model. The long run elasticity effect is 39.5%. The effect of investments (public) in agricultural research ha... Mostrar Tudo |
Thesagro: |
Agricultura; Economia; Fator de Produção; Pesquisa Agrícola; Sistema de Produção; Tecnologia. |
Thesaurus NAL: |
Agricultural research; Agriculture; Regression analysis; Technology. |
Categoria do assunto: |
-- |
Marc: |
LEADER 02374naa a2200289 a 4500 001 2137558 005 2021-12-10 008 2020 bl uuuu u00u1 u #d 024 7 $ahttps://doi.org/10.1016/j.seps.2020.100879$2DOI 100 1 $aSOUZA, G. da S. e 245 $aTechnological progress in the Brazilian agriculture.$h[electronic resource] 260 $c2020 520 $aABSTRACT - We analyze technical progress in the Brazilian agriculture in the period 1976?2016. Output is production value and inputs are expenses on land, labor, and other inputs. Data Envelopment Analysis (DEA) measures are used to capture technological progress via efficiency analysis. Filtering the data with a moving average and fractional regression we identify four periods with distinct behavior of technical efficiency under constant or decreasing returns to scale. From 1976 to 1988 and from 1996 to 2007 technical efficiency decreases at statistically significant rates of - 1.74% and - 0.26% respectively. From 1989 to 1995 and from 2008 to 2016 efficiency increases at statistically significant rates of 1.53% and 1.75% respectively. Efficiency of input use varies in these periods and is computed as a byproduct of the DEA analysis. We observe a more efficient usage of land and other inputs. A parametric fit using adjusted efficient inputs indicate the relative elasticities of 40.5%, 38.5% and 21.0% for other inputs, land and labor, respectively. Technological progress increases 3.73% in the period 1976?1988, decreases 1,58% between 1989 and 1995, increases 0.17% in the period 1996?2007 and increases 1.01% between 2008 and 2016. Technological inputs are statistically significantly influential on total factor productivity as indicated by an infinite distributed lag model. The long run elasticity effect is 39.5%. The effect of investments (public) in agricultural research has a significant elasticity of 0.835. 650 $aAgricultural research 650 $aAgriculture 650 $aRegression analysis 650 $aTechnology 650 $aAgricultura 650 $aEconomia 650 $aFator de Produção 650 $aPesquisa Agrícola 650 $aSistema de Produção 650 $aTecnologia 700 1 $aGOMES, E. G. 700 1 $aALVES, E. R. de A. 700 1 $aGASQUES, J. G. 773 $tSocio-Economic Planning Sciences$gv. 72, Dec. 2020, 100879.
Download
Esconder MarcMostrar Marc Completo |
Registro original: |
Embrapa Unidades Centrais (AI-SEDE) |
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
Fechar
|
Nenhum registro encontrado para a expressão de busca informada. |
|
|