Eficiência técnica e econômica de quatro empresas de produção de leite da região de São Carlos, SP

Mancio, Antonio Bento; Schiffler, E. A.; Hernández, Fernando

doi:10.1590/s0102-09351999000300015

Cited by 8 publications

(5 citation statements)

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“…We observed values greater than the recommended by Leite et al (2006), which is between 390 and 420 days. Our values were similar to those reported by Mancio, Schiffler, and Londono-Hernández (1999) who assessed four dairy enterprises. Herd productivity is related to this parameter which directly affects the number of replacement heifers in the herd (Beretta, Lobato, & Mielitz, 2001).…”

Section: Journal Of Agricultural Sciencesupporting

confidence: 91%

Economic and Productive Assessment of an Ordinary Small-Sized Dairy Enterprise in Southeast Brazil: A Multi-Year Study

Villela¹,

Assis²,

Lopes³

et al. 2017

JAS

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The objectives were to analyze the economic performance over time of a dairy enterprise located in southeast Brazil and to identify the key production parameters that contributed to economic performance, using a 10-year database. Two distinct approaches to evaluate production cost were analyzed. Briefly, the first approach involves variable and fixed costs (more traditional economic analysis), and the second involves total operating cost, consisting of effective operating costs and depreciation. From these two distinct approaches, we obtain as economic indicators the profitability I and profitability II, respectively. In addition, correlation between economic and productivity parameters was performed. Considering the first approach, revenue was not sufficient to cover the total cost and on average profitability I was negative. During three years, the break-even point was not achieved. Considering the second approach, gross profit margin was positive throughout the period, and consequently profitability II was positive. In general, production parameters were within the ordinary range observed in small-sized Brazilian dairy farms. From the correlations between economic and production parameters, we noted that correlation between average milk production per lactating cow and both measures of profit was present, indicating that if the average milk production per lactating cow was high, profit was positive. We conclude that this type of evaluation is important to assess the performance of a business, and consequently, for decision-making of dairy producers.

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Section: Journal Of Agricultural Sciencesupporting

confidence: 91%

Economic and Productive Assessment of an Ordinary Small-Sized Dairy Enterprise in Southeast Brazil: A Multi-Year Study

Villela¹,

Assis²,

Lopes³

et al. 2017

JAS

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show abstract

“…Milk is produced in Brazil throughout the national territory, in approximately 1,340,897 farms (IBGE, 2007) and it presents a high degree of diversity in terms of their characteristics, with scales and levels of expertise varying from a low input extractive manner to the adoption of a highly intensive dairy business posture (Mancio et al, 1999;Lopes et al, 2007). Typification of these producers may occur considering a variety of features analyzed in each production system (Bodenmüller Filho et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

Typology and physical–chemical characterization of bovine milk produced with different productions strategies

Gabbi

McManus

Silva

et al. 2013

Agricultural Systems

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In the tropics, milk production systems present high diversity and distinct ability to adapt to the demands of consumers and market conditions. Knowledge of the factors that affect the quality of milk and agglomerate of production systems into fewer groups can facilitate analysis and the decisions needed to improve them. The objective of this paper was to characterize, classify and analyze dairy production systems in the Brazilian southern region, and relate their productive aspects to the physical-chemical attributes of the milk produced. A multivariate analysis was conducted with 26 indicators obtained from a survey covering 328 dairy farms. Variance was fully explained by the first three principal factors. The first factor included feeding strategies, the second included the farm's structure traits and the third included milk composition. Canonical analysis revealed distribution of farmers into three clusters. All feeding strategies, except salt supplementation, as well as monthly milk production, herd size, number of lactating cows in farm and unstable milk frequency were important discriminant variables to determinate cluster formation. The clusters were differentiated by feeding strategies used and the high standard deviation in some of these strategies demonstrated the adoption of specific strategies in different seasons. Cluster 3 had the largest monthly milk production and larger number of lactating cows, but the productivity of cows in the different clusters was not significantly different. The lower unstable milk frequency in cluster 3 is associated with more intensive use of silage, mineral-vitamin premix and commercial concentrate in the diet of animals. The physical-chemical composition of milk and the somatic cell count did not differ between clusters.

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“…Several researchers (OLIVEIRA et al, 2007;FASSIO et al, 2006;MANCIO et al, 1999;PEREIRA, 2009;HOFER;SHIKIDA, 2000;MORAES et al, 2004, MARQUES et al, 2002 have attempted to estimate production costs in studying the economic viability of milk production. However, few have studied the effects of technological sophistication on profits or components with the greatest influence on milk production systems.…”

Section: Introductionmentioning

confidence: 99%

The effect of technological levels on profits of milk production systems participating in the full bucket program: a multicase study

et al. 2015

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The present study examines the effect of technological levels on the profits of 20 demonstration units (DU) participating in the "Full Bucket" ("Balde Cheio") program in the state of Rio de Janeiro (RJ), from January to December of 2011, and identifies significant variables that affect total costs and real operating costs and their impact on revenues. Data were analyzed using PASW 18.0 software. A multiple linear regression model of stepwise regression is used to identify production cost components with greater influence on net margins, earnings and profits. Technological levels influenced earnings and profits. DUs of intermediate technological sophistication show positive economic results and are therefore considered economically viable, with the potential to remain in production for the short-, mid-and long-term, thus capitalizing dairy farmers. DUs of low and high technological sophistication show negative results, suggesting the decapitalization of milk producers, as revenues have not covered total costs. The most representative factors that affect real operating costs for DUs of intermediate and high technological sophistication are, in descending order, feed, labor, and other expenses. For DUs of low technological sophistication, the order is feed, other expenses and labor. The most representative components of total cost are found to be feed, labor, and returns on investment. Key words: Dairy cattle farming, production cost, management, technology ResumoObjetivou-se analisar o efeito do nível tecnológico na rentabilidade de 20 unidades demonstrativas (UD) participantes do programa "Balde Cheio", no estado do RJ, no período de janeiro a dezembro de 2011. Pretendeu-se, ainda, identificar os componentes que exerceram maior influência sobre os custos total e operacional efetivo e o impacto de cada um deles na receita. Os dados foram analisados utilizandose o software PASW 18.0. Utilizou-se o modelo de regressão linear múltipla com o método stepwise, para identificar os componentes do custo de produção que mais influenciaram na margem líquida, na lucratividade e na rentabilidade. O nível tecnológico influenciou na lucratividade e rentabilidade. Na análise econômica, por apresentar resultado positivo, o estrato com médio nível tecnológico teve viabilidade econômica e condições de produzir no curto, médio e longo prazos, com consequente capitalização dos pecuaristas; enquanto que os estratos com baixo e alto níveis tecnológicos apresentaram resultado negativo, indicando que os produtores estão se descapitalizando, pois as receitas auferidas não foram suficientes para pagar seus custos totais. Os itens componentes do custo operacional efetivo que exerceram maiores representatividades nos estratos médios e alto nível tecnológico, em ordem decrescente, foram a alimentação, mão de obra e despesas diversas; enquanto que no estrato baixo nível tecnológico foram a alimentação, despesas diversas e mão de obra. Com relação aos itens componentes do custo total, foram a alimentação, mão de obra e remuneração do cap...

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Eficiência técnica e econômica de quatro empresas de produção de leite da região de São Carlos, SP

Cited by 8 publications

References 0 publications

Economic and Productive Assessment of an Ordinary Small-Sized Dairy Enterprise in Southeast Brazil: A Multi-Year Study

Economic and Productive Assessment of an Ordinary Small-Sized Dairy Enterprise in Southeast Brazil: A Multi-Year Study

Typology and physical–chemical characterization of bovine milk produced with different productions strategies

The effect of technological levels on profits of milk production systems participating in the full bucket program: a multicase study

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