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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 |
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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