Data/hora: 04/06/2024 01:33:08

Provedor de dados: 	Ciência Rural	
País: 	Brazil	
Título: 	Competitiveness levels in cattle herd farms	
Autores: 	Marques,Pedro Rocha; Barcellos,Júlio Otávio Jardim; Dill,Matheus Dhein; Dias,Eduardo Antunes; Azevedo,Eduardo Vaz Torres; Lampert,Vinícius do Nascimento; McManus,Concepta Margaret.	
Data: 	2015-03-01	
Ano: 	2015	
Palavras-chave: 	Cluster; Level of impact; Management; Ranking; Stratification.	
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	
Tipo: 	Info:eu-repo/semantics/article	
Idioma: 	Inglês	
Identificador: 	http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782015000300480	
Editor: 	Universidade Federal de Santa Maria	
Relação: 	10.1590/0103-8478cr20140401	
Formato: 	text/html	
Fonte: 	Ciência Rural  v.45 n.3 2015	
Fonte: 	info:eu-repo/semantics/openAccess