Data/hora: 21/06/2024 05:38:41

Biblioteca(s): | Embrapa Unidades Centrais.
Data corrente: | 27/10/2017
Data da última atualização: | 31/10/2017
Autoria: | SOUZA, G. da S. e; GOMES, E. G.
Afiliação: | GERALDO DA SILVA E SOUZA, SGI; ELIANE GONCALVES GOMES, SGI.
Título: | A stochastic frontier approach in the presence of endogeneity for the brazilian agriculture.
Ano de publicação: | 2017
Fonte/Imprenta: | In: INTERNATIONAL CONFERENCE ON AGRO BIG DATA AND DECISION SUPPORT SYSTEMS IN AGRICULTURE, 1., 2017, Montevideo. Proceedings... Montevideo: Universidad de la República, 2017. p. 159-161.
ISBN: | 978-9974-0-1514-2
Idioma: | Inglês
Notas: | Editores Héctor Cancela, Luís Miquel Plà-Aragonés, Antonio Mauttone, Adela Pagès-Bernaus.
Conteúdo: | Using farmers data comprising the Brazilian agricultural census of 2006, we fit a stochastic frontier model in the presence of endogeneity. The endogenous variable affecting efficiency is the probability of negative net income. Additionally we investigate the effects of technical assistance and agricultural research in efficiency. Production is modeled in the Cobb-Douglas family with three inputs: expenditures on labor, on land, and on other technical inputs. The response is gross income. Technological inputs are dominant, followed by labor and land. Research and technical assistance contribute significantly to reduce inefficiency and the probability of negative net income contributes positively to inefficiency.
Thesagro: | Análise estatística; Assistência técnica; Censo agrícola; Pesquisa agrícola; Renda.
Thesaurus Nal: | Agricultural research; Census of agriculture; Probabilistic risk assessment; Stochastic processes.
Categoria do assunto: | --
Registro original: | Embrapa Unidades Centrais (AI-SEDE)
Exemplares: | AI-SEDE - (61823-1) - UPC - AA - DD -  -  -  - DIS