Data/hora: 10/06/2024 09:11:37

Provedor de dados: 	31	
País: 	United States	
Título: 	Análise de risco de sistemas de produção de suínos, integrado e independente, em períodos de alta e baixa rentabilidade

Risk analysis of pig production systems, integrated and independent, in periods of high and low profitability	
Autores: 	Rocha,   Denis Teixeira da; Moura,   Altair Dias de; Girotto,   Ademir Francisco.	
Data: 	2009-10-31	
Ano: 	2007	
Palavras-chave: 	Risk; Production system; Pork production; Risk and Uncertainty.	
Resumo: 	This research analyzed the integrated and independent systems of pork production in Brazil, using multiple case studies, which focused on confined and complete-cycle producing units of swines, in the high and low profits periods of the activity. The study focused on the pork production of the State of Santa Catarina (SC), Brazilian’s greatest producer of swines, and presenting the predominance of integrated production, and on the Vale do Piranga (MG) region, one of the main Brazilian regions of the independent production system. The work analyzed the yield of the two systems of pork production through the analysis of the performance of each system in different scenarios. The costs and incomes (economic efficiency) of six producing pork farms, in which three belonged to one production system and three to the other, was the basic analytical structure of the study. The Monte Carlo method was used to analyze the performance of each farm. Considering the comparison between the two production systems in different time periods, in prosperity time, the independent pork production farms presented higher returns. On the other hand, in period of crisis, the integrated production system farms were more successful in terms of performance, as the independent ones presented higher losses.	
Tipo: 	Journal Article	
Idioma: 	Português	
Identificador: 	http://purl.umn.edu/54593	
Relação: 	Revista de Economia e Agronegócio/Brazilian Review of Economics and Agribusiness&gt;Volume 5, Number 3, 2007	
Formato: 	23