Analyzing the technical efficiency of rice farms in the Rio Grande do Sul
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Outros Autores: | , |
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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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 reponame:Redes (Santa Cruz do Sul. Online) instname:Universidade de Santa Cruz do Sul (UNISC) instacron:UNISC |
instname_str |
Universidade de Santa Cruz do Sul (UNISC) |
instacron_str |
UNISC |
institution |
UNISC |
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 |
_version_ |
1800218769119772672 |