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Registro Completo |
Biblioteca(s): |
Embrapa Territorial. |
Data corrente: |
29/09/2017 |
Data da última atualização: |
29/09/2017 |
Tipo da produção científica: |
Resumo em Anais de Congresso |
Autoria: |
SPADOTTO, C. A.; MINGOTI, R. |
Afiliação: |
CLAUDIO APARECIDO SPADOTTO, SGTE; RAFAEL MINGOTI, SGTE. |
Título: |
Developing realistic exposure scenarios for environmental risk assessment of pesticides in Brazil: groundwater |
Ano de publicação: |
2017 |
Fonte/Imprenta: |
46th World Chemistry Congress, 40a Reunião Anual da Sociedade Brasileira de Química and IUPAC 49th General Assembly, 2017. |
Páginas: |
1 p. |
Idioma: |
Português |
Palavras-Chave: |
ARAquá; Environmental risk assessment; Modelling applications. |
Thesaurus Nal: |
groundwater; pesticides. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/164521/1/2017-iupac2017-spadotto-233.pdf
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Marc: |
LEADER 00657nam a2200181 a 4500 001 2076510 005 2017-09-29 008 2017 bl uuuu u00u1 u #d 100 1 $aSPADOTTO, C. A. 245 $aDeveloping realistic exposure scenarios for environmental risk assessment of pesticides in Brazil$bgroundwater$h[electronic resource] 260 $a46th World Chemistry Congress, 40a Reunião Anual da Sociedade Brasileira de Química and IUPAC 49th General Assembly$c2017 300 $a1 p. 650 $agroundwater 650 $apesticides 653 $aARAquá 653 $aEnvironmental risk assessment 653 $aModelling applications 700 1 $aMINGOTI, R.
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Embrapa Territorial (CNPM) |
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| Acesso ao texto completo restrito à biblioteca da Embrapa Pantanal. Para informações adicionais entre em contato com cpap.biblioteca@embrapa.br. |
Registro Completo
Biblioteca(s): |
Embrapa Pantanal. |
Data corrente: |
04/06/2018 |
Data da última atualização: |
11/03/2019 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 1 |
Autoria: |
HERRERA, G. P.; LOURIVAL, R.; COSTA, R. B. da; MOREIRA, T. B, S.; ABREU, U. G. P. de; CONSTANTINO, M. |
Afiliação: |
GABRIEL PAES HERRERA, Catholic University Dom Bosco; REINALDO LOURIVAL, Federal University of Mato Grosso do Sul; REGINALDO BRITO DA COSTA, Catholic University Dom Bosco; TITO BELCHIOR SILVA MOREIRA, Catholic University of Brasília; URBANO GOMES PINTO DE ABREU, CPAP; MICHEL CONSTANTINO, Catholic University Dom Bosco. |
Título: |
Econometric analysis of income, productivity and diversification among smallholders in Brazil. |
Ano de publicação: |
2018 |
Fonte/Imprenta: |
Land Use Policy, v. 76, p. 455-459, mar. 2018. |
DOI: |
doi.org/10.1016/j.landusepol.2018.02.025 |
Idioma: |
Português |
Conteúdo: |
Abstract: Family farming plays important roles in agricultural production and the world?s food security. This paper provides an econometric analysis of income, productivity and diversification of Brazilian smallholders. Using the most updated data from the Ministry of Agrarian Development (MDA) enables a more precise analysis than traditional agri-census data. The database contains approximately 4.7 million family farmers from all regions of the country. We used linear and tobit regression to untangle useful information behind these large datasets. The results demonstrated that the smallholders that are part of an agricultural cooperative or a member of a farmer?s association positively affect income, productivity and diversification. The age of household heads is shown to have a non-linear relationship in the three cases, while the household head being female presented a negative effect in all regressions. Although recent technical assistance showed negative impacts on income and productivity, farmer?s assistance positively affected the likelihood of a smallholder diversifying their production and, therefore, becoming less subject to price imbalances. The results support current views in the field of smallholder farming while presenting marked regional differences of a continental country, enabling policy makers to make better, more informed decisions. |
Thesagro: |
Economia Agrícola; Economia da Produção; Pequeno Produtor; Propriedade Rural. |
Thesaurus NAL: |
Econometric models; Family farms. |
Categoria do assunto: |
E Economia e Indústria Agrícola |
Marc: |
LEADER 02192naa a2200265 a 4500 001 2092163 005 2019-03-11 008 2018 bl uuuu u00u1 u #d 024 7 $adoi.org/10.1016/j.landusepol.2018.02.025$2DOI 100 1 $aHERRERA, G. P. 245 $aEconometric analysis of income, productivity and diversification among smallholders in Brazil.$h[electronic resource] 260 $c2018 520 $aAbstract: Family farming plays important roles in agricultural production and the world?s food security. This paper provides an econometric analysis of income, productivity and diversification of Brazilian smallholders. Using the most updated data from the Ministry of Agrarian Development (MDA) enables a more precise analysis than traditional agri-census data. The database contains approximately 4.7 million family farmers from all regions of the country. We used linear and tobit regression to untangle useful information behind these large datasets. The results demonstrated that the smallholders that are part of an agricultural cooperative or a member of a farmer?s association positively affect income, productivity and diversification. The age of household heads is shown to have a non-linear relationship in the three cases, while the household head being female presented a negative effect in all regressions. Although recent technical assistance showed negative impacts on income and productivity, farmer?s assistance positively affected the likelihood of a smallholder diversifying their production and, therefore, becoming less subject to price imbalances. The results support current views in the field of smallholder farming while presenting marked regional differences of a continental country, enabling policy makers to make better, more informed decisions. 650 $aEconometric models 650 $aFamily farms 650 $aEconomia Agrícola 650 $aEconomia da Produção 650 $aPequeno Produtor 650 $aPropriedade Rural 700 1 $aLOURIVAL, R. 700 1 $aCOSTA, R. B. da 700 1 $aMOREIRA, T. B, S. 700 1 $aABREU, U. G. P. de 700 1 $aCONSTANTINO, M. 773 $tLand Use Policy$gv. 76, p. 455-459, mar. 2018.
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