Competitiveness levels in cattle herd farms

Marques, Pedro Rocha; Barcellos, Júlio Otávio Jardim; Dill, Matheus Dhein; Dias, Eduardo Antunes; Azevedo, Eduardo Vaz Torres; Lampert, Vinícius do Nascimento; McManus, Concepta Margaret

doi:10.1590/0103-8478cr20140401

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ANIMAL PRODUCTION • Cienc. Rural 45 (3) • Mar 2015 • https://doi.org/10.1590/0103-8478cr20140401 copy

Competitiveness levels in cattle herd farms

Competitividade em propriedades com criação de bovinos

Authorship SCIMAGO INSTITUTIONS RANKINGS

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

cluster; level of impact; management; ranking; stratification

Universidade Federal de Santa Maria Universidade Federal de Santa Maria, Centro de Ciências Rurais , 97105-900 Santa Maria RS Brazil , Tel.: +55 55 3220-8698 , Fax: +55 55 3220-8695 - Santa Maria - RS - Brazil
E-mail: cienciarural@mail.ufsm.br

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[1] * Autor para correspondência: Pedro Rocha Marques, email: rochamarques@hotmail.com

Variable	Weight
Technology (TEC)	3.50
Type of production system (TYP)	0.10
Pasture quality, management and grass species (PAST)	0.15
Animal supplementation (SUP)	0.15
Integration crops and animal production (ICAP)	0.10
Reproductive management (REP)	0.10
Herd genetics (GEN)	0.05
Herd health (HH)	0.15
Production indices control (PIC)	0.05
Regular technical assistance (RTA)	0.10
Routine management of animals (ROT)	0.05
Management (MAN)	3.50
Workforce training (WT)	0.15
Patrimonial (PAT)	0.05
Finance and cash flow (FCF)	0.10
Strategic planning (EP)	0.05
Control of production costs (CPC)	0.15
Calculate financial indicators (CFI)	0.10
Herd identification (HI)	0.10
Commercialization (COM)	0.10
Use of Information Technology on-farm (IT)	0.05
Scale of production (SP)	0.15
Market Relationships (MR)	2.00
Relationship farmer-supplier (RFS)	0.35
Relationship farmer - abattoir (RFA)	0.35
Formation of prices (FP)	0.15
Product differentiation (PD)	0.15
Institutional Environment (IE)	1.00
Access to technological innovations (ATI)	0.15
Tax and workforce policies (TWP)	0.15
Environmental policies and fiscalization (EPF)	0.15
Agricultural credit policies (ACP)	0.10
Health policies and fiscalization (HPF)	0.15
Official legislation and farm ownership (OLFO)	0.10
Farmer organization (FO)	0.20

CLUSTERS	TEC⁽⁴⁾	MAN⁽⁵⁾	MR⁽⁶⁾	IE⁽⁷⁾
LCL⁽¹⁾	F⁽¹⁰⁾	U⁽⁸⁾	N⁽⁹⁾	N⁽⁹⁾
MCL⁽²⁾	F⁽¹⁰⁾	N⁽⁹⁾	F⁽¹⁰⁾	N⁽⁹⁾
HCL⁽³⁾	HF⁽¹¹⁾	F⁽¹⁰⁾	F⁽¹⁰⁾	F⁽¹⁰⁾

Order	LCL	MCL	HCL
1	FO(1)	FO⁽¹⁾	FO⁽¹⁾
2	RFA⁽²⁾	CPC⁽³⁾	RFA⁽²⁾
3	CPC⁽³⁾	RFA⁽²⁾	PAST⁽⁴⁾
4	PAST⁽⁴⁾	HRT⁽⁵⁾	HRT⁽⁵⁾
5	HRT⁽⁵⁾	SP⁽⁶⁾	SP⁽⁶⁾
6	SP⁽⁶⁾	PAST⁽⁴⁾	CPC⁽³⁾
7	SUP⁽⁷⁾	SUP⁽⁷⁾	SUP⁽⁷⁾
8	RFS⁽⁸⁾	RFS⁽⁸⁾	RFS⁽⁸⁾