Competitiveness levels in cattle herd farms

Detalhes bibliográficos
Autor(a) principal: Marques,Pedro Rocha
Data de Publicação: 2015
Outros Autores: Barcellos,Júlio Otávio Jardim, Dill,Matheus Dhein, Dias,Eduardo Antunes, Azevedo,Eduardo Vaz Torres, Lampert,Vinícius do Nascimento, McManus,Concepta Margaret
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Ciência Rural
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782015000300480
Resumo: The aim of this experiment was to identify improvement demands for farms with different levels of competitiveness in the west of Rio Grande do Sul state, Brazil. A total of 63 owners of large farms were interviewed (farms with an area greater than 900ha) by applying a semi-structured questionnaire, guided by four drivers: technology (TEC), management (MAN), market relations (MR) and the institutional environment (IE).It was used the Statistical Analysis System 9.2 software to perform the cluster analysis and identify farmers' characteristics. Three random clusters with different levels of competitiveness were observed: low competitiveness level (LCL), middle competitiveness level (MCL) and high competitiveness level (HCL). The 29 variables (sub factors) were evaluated in the cluster analysis according to level of impact on competitiveness, being classified into variables of high, medium or low impact. Stratification was carried out, ranking demands for improvements from aspects attributed by experts in relation to sub factors. The farmers with low competitiveness level (LTL) had an unfavorable status for MAN, while the farmers belonging to clusters MCL and HCL have, respectively, favorable and neutral status for the same driver. The management characteristics determined the level of competitiveness of the farms surveyed
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spelling Competitiveness levels in cattle herd farmsclusterlevel of impactmanagementrankingstratificationThe aim of this experiment was to identify improvement demands for farms with different levels of competitiveness in the west of Rio Grande do Sul state, Brazil. A total of 63 owners of large farms were interviewed (farms with an area greater than 900ha) by applying a semi-structured questionnaire, guided by four drivers: technology (TEC), management (MAN), market relations (MR) and the institutional environment (IE).It was used the Statistical Analysis System 9.2 software to perform the cluster analysis and identify farmers' characteristics. Three random clusters with different levels of competitiveness were observed: low competitiveness level (LCL), middle competitiveness level (MCL) and high competitiveness level (HCL). The 29 variables (sub factors) were evaluated in the cluster analysis according to level of impact on competitiveness, being classified into variables of high, medium or low impact. Stratification was carried out, ranking demands for improvements from aspects attributed by experts in relation to sub factors. The farmers with low competitiveness level (LTL) had an unfavorable status for MAN, while the farmers belonging to clusters MCL and HCL have, respectively, favorable and neutral status for the same driver. The management characteristics determined the level of competitiveness of the farms surveyedUniversidade Federal de Santa Maria2015-03-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782015000300480Ciência Rural v.45 n.3 2015reponame:Ciência Ruralinstname:Universidade Federal de Santa Maria (UFSM)instacron:UFSM10.1590/0103-8478cr20140401info:eu-repo/semantics/openAccessMarques,Pedro RochaBarcellos,Júlio Otávio JardimDill,Matheus DheinDias,Eduardo AntunesAzevedo,Eduardo Vaz TorresLampert,Vinícius do NascimentoMcManus,Concepta Margareteng2015-05-19T00:00:00ZRevista
dc.title.none.fl_str_mv Competitiveness levels in cattle herd farms
title Competitiveness levels in cattle herd farms
spellingShingle Competitiveness levels in cattle herd farms
Marques,Pedro Rocha
cluster
level of impact
management
ranking
stratification
title_short Competitiveness levels in cattle herd farms
title_full Competitiveness levels in cattle herd farms
title_fullStr Competitiveness levels in cattle herd farms
title_full_unstemmed Competitiveness levels in cattle herd farms
title_sort Competitiveness levels in cattle herd farms
author Marques,Pedro Rocha
author_facet Marques,Pedro Rocha
Barcellos,Júlio Otávio Jardim
Dill,Matheus Dhein
Dias,Eduardo Antunes
Azevedo,Eduardo Vaz Torres
Lampert,Vinícius do Nascimento
McManus,Concepta Margaret
author_role author
author2 Barcellos,Júlio Otávio Jardim
Dill,Matheus Dhein
Dias,Eduardo Antunes
Azevedo,Eduardo Vaz Torres
Lampert,Vinícius do Nascimento
McManus,Concepta Margaret
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Marques,Pedro Rocha
Barcellos,Júlio Otávio Jardim
Dill,Matheus Dhein
Dias,Eduardo Antunes
Azevedo,Eduardo Vaz Torres
Lampert,Vinícius do Nascimento
McManus,Concepta Margaret
dc.subject.por.fl_str_mv cluster
level of impact
management
ranking
stratification
topic cluster
level of impact
management
ranking
stratification
description The aim of this experiment was to identify improvement demands for farms with different levels of competitiveness in the west of Rio Grande do Sul state, Brazil. A total of 63 owners of large farms were interviewed (farms with an area greater than 900ha) by applying a semi-structured questionnaire, guided by four drivers: technology (TEC), management (MAN), market relations (MR) and the institutional environment (IE).It was used the Statistical Analysis System 9.2 software to perform the cluster analysis and identify farmers' characteristics. Three random clusters with different levels of competitiveness were observed: low competitiveness level (LCL), middle competitiveness level (MCL) and high competitiveness level (HCL). The 29 variables (sub factors) were evaluated in the cluster analysis according to level of impact on competitiveness, being classified into variables of high, medium or low impact. Stratification was carried out, ranking demands for improvements from aspects attributed by experts in relation to sub factors. The farmers with low competitiveness level (LTL) had an unfavorable status for MAN, while the farmers belonging to clusters MCL and HCL have, respectively, favorable and neutral status for the same driver. The management characteristics determined the level of competitiveness of the farms surveyed
publishDate 2015
dc.date.none.fl_str_mv 2015-03-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782015000300480
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782015000300480
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0103-8478cr20140401
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Universidade Federal de Santa Maria
publisher.none.fl_str_mv Universidade Federal de Santa Maria
dc.source.none.fl_str_mv Ciência Rural v.45 n.3 2015
reponame:Ciência Rural
instname:Universidade Federal de Santa Maria (UFSM)
instacron:UFSM
instname_str Universidade Federal de Santa Maria (UFSM)
instacron_str UFSM
institution UFSM
reponame_str Ciência Rural
collection Ciência Rural
repository.name.fl_str_mv
repository.mail.fl_str_mv
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