Analyzing the technical efficiency of rice farms in the Rio Grande do Sul

Detalhes bibliográficos
Autor(a) principal: Alvim, Augusto Mussi
Data de Publicação: 2015
Outros Autores: Stulp, Valter José, Kayser, Victor Hugo
Tipo de documento: Artigo
Idioma: por
Título da fonte: Redes (Santa Cruz do Sul. Online)
Texto Completo: https://online.unisc.br/seer/index.php/redes/article/view/3219
Resumo: This paper evaluates the technical efficiency in rice farms in Rio Grande do Sul (RS). For this, we use the Data Envelopment Analysis (DEA) and the Tobit regression model. The study use the variables available in the Census of the Institute of Irrigated Rice of RS (IRGA, 2006). The study shows that most of the rice farmers are technically inefficient on local terms, and only 5.7% are efficient. In addition, it is possible to observe that the main variables, which increase the level of efficiency in different regions of the state, are technical assistance, education level and growing system. The results show that there are important differences between the rice farms, which depends of the region of RS and of the producer condition (owner or tenant).
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spelling Analyzing the technical efficiency of rice farms in the Rio Grande do SulAnálise da eficiência técnica nas lavouras de arroz no Rio Grande do SulEficiência técnica. DEA. Tobit e lavoura de arroz.Technical efficiency. DEA. Tobit and rice farming.This paper evaluates the technical efficiency in rice farms in Rio Grande do Sul (RS). For this, we use the Data Envelopment Analysis (DEA) and the Tobit regression model. The study use the variables available in the Census of the Institute of Irrigated Rice of RS (IRGA, 2006). The study shows that most of the rice farmers are technically inefficient on local terms, and only 5.7% are efficient. In addition, it is possible to observe that the main variables, which increase the level of efficiency in different regions of the state, are technical assistance, education level and growing system. The results show that there are important differences between the rice farms, which depends of the region of RS and of the producer condition (owner or tenant).O presente artigo avalia a eficiência técnica nas lavouras de arroz no Rio Grande do Sul-RS. Para isso, utilizou-se a Análise Envoltória de Dados (Dalta Envelopment Analysis)-DEA e o modelo de regressão Tobit. O estudo utilizou as variáveis disponíveis no Censo da Lavoura de Arroz Irrigado do RS (IRGA, 2006). Os resultados da pesquisa mostram que a maior parte das lavouras de arroz é ineficiente tecnicamente em termos locais, apenas 5,7% são eficientes. Além disso, observa-se que as principais variáveis capazes de aumentar o nível de eficiência nas diferentes regiões do estado são: assistência técnica, nível de escolaridade e sistema de cultivo. Os resultados mostram que existem diferenças importantes entre as lavouras de arroz conforme a região do estado e a condição do produtor (proprietário ou arrendatário).Edunisc - Universidade de Santa Cruz do Sul2015-03-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://online.unisc.br/seer/index.php/redes/article/view/321910.17058/redes.v20i2.3219Redes ; Vol. 20 No. 2 (2015): Desenvolvimento Rural; 158-175Redes; Vol. 20 Núm. 2 (2015): Desenvolvimento Rural; 158-175Redes; Vol. 20 No. 2 (2015): Desenvolvimento Rural; 158-175Redes; v. 20 n. 2 (2015): Desenvolvimento Rural; 158-1751982-6745reponame:Redes (Santa Cruz do Sul. Online)instname:Universidade de Santa Cruz do Sul (UNISC)instacron:UNISCporhttps://online.unisc.br/seer/index.php/redes/article/view/3219/pdfAlvim, Augusto MussiStulp, Valter JoséKayser, Victor Hugoinfo:eu-repo/semantics/openAccess2019-10-03T17:44:25Zoai:ojs.online.unisc.br:article/3219Revistahttp://online.unisc.br/seer/index.php/redeshttp://online.unisc.br/seer/index.php/redes/oairedes_unisc_maff@terra.com.br||etges@unisc.br1982-67451414-7106opendoar:2019-10-03T17:44:25Redes (Santa Cruz do Sul. Online) - Universidade de Santa Cruz do Sul (UNISC)false
dc.title.none.fl_str_mv Analyzing the technical efficiency of rice farms in the Rio Grande do Sul
Análise da eficiência técnica nas lavouras de arroz no Rio Grande do Sul
title Analyzing the technical efficiency of rice farms in the Rio Grande do Sul
spellingShingle Analyzing the technical efficiency of rice farms in the Rio Grande do Sul
Alvim, Augusto Mussi
Eficiência técnica. DEA. Tobit e lavoura de arroz.
Technical efficiency. DEA. Tobit and rice farming.
title_short Analyzing the technical efficiency of rice farms in the Rio Grande do Sul
title_full Analyzing the technical efficiency of rice farms in the Rio Grande do Sul
title_fullStr Analyzing the technical efficiency of rice farms in the Rio Grande do Sul
title_full_unstemmed Analyzing the technical efficiency of rice farms in the Rio Grande do Sul
title_sort Analyzing the technical efficiency of rice farms in the Rio Grande do Sul
author Alvim, Augusto Mussi
author_facet Alvim, Augusto Mussi
Stulp, Valter José
Kayser, Victor Hugo
author_role author
author2 Stulp, Valter José
Kayser, Victor Hugo
author2_role author
author
dc.contributor.author.fl_str_mv Alvim, Augusto Mussi
Stulp, Valter José
Kayser, Victor Hugo
dc.subject.por.fl_str_mv Eficiência técnica. DEA. Tobit e lavoura de arroz.
Technical efficiency. DEA. Tobit and rice farming.
topic Eficiência técnica. DEA. Tobit e lavoura de arroz.
Technical efficiency. DEA. Tobit and rice farming.
description This paper evaluates the technical efficiency in rice farms in Rio Grande do Sul (RS). For this, we use the Data Envelopment Analysis (DEA) and the Tobit regression model. The study use the variables available in the Census of the Institute of Irrigated Rice of RS (IRGA, 2006). The study shows that most of the rice farmers are technically inefficient on local terms, and only 5.7% are efficient. In addition, it is possible to observe that the main variables, which increase the level of efficiency in different regions of the state, are technical assistance, education level and growing system. The results show that there are important differences between the rice farms, which depends of the region of RS and of the producer condition (owner or tenant).
publishDate 2015
dc.date.none.fl_str_mv 2015-03-09
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://online.unisc.br/seer/index.php/redes/article/view/3219
10.17058/redes.v20i2.3219
url https://online.unisc.br/seer/index.php/redes/article/view/3219
identifier_str_mv 10.17058/redes.v20i2.3219
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://online.unisc.br/seer/index.php/redes/article/view/3219/pdf
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Edunisc - Universidade de Santa Cruz do Sul
publisher.none.fl_str_mv Edunisc - Universidade de Santa Cruz do Sul
dc.source.none.fl_str_mv Redes ; Vol. 20 No. 2 (2015): Desenvolvimento Rural; 158-175
Redes; Vol. 20 Núm. 2 (2015): Desenvolvimento Rural; 158-175
Redes; Vol. 20 No. 2 (2015): Desenvolvimento Rural; 158-175
Redes; v. 20 n. 2 (2015): Desenvolvimento Rural; 158-175
1982-6745
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reponame_str Redes (Santa Cruz do Sul. Online)
collection Redes (Santa Cruz do Sul. Online)
repository.name.fl_str_mv Redes (Santa Cruz do Sul. Online) - Universidade de Santa Cruz do Sul (UNISC)
repository.mail.fl_str_mv redes_unisc_maff@terra.com.br||etges@unisc.br
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