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

Abstract

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...

Effect of technical indexes on cost-effectiveness in dairy farms participating in the “Balde Cheio” program at different stages of production

“…Several researchers have examined the estimation of production costs and the economic viability of dairy farming (GODINHO; CARVALHO, 2009;SILVA et al, 2008;CARLOTTO et al, 2011;SILVEIRA et al, 2011;LOPES et al, 2011;LOPES et al, 2015). However, few studies have assessed the effect of managerial and technical indexes on cost-effectiveness.…”

Dairy activity in family farming in Minas Gerais, Brazil: production costs and cost-effectiveness analysis

“…According to Lopes et al (2015), in order to make a more realistic analysis of the results, it is necessary to verify whether the variation of biological assets was positive by calculating the difference in Reais (R$), of the value of biological assets at the end and at the beginning of the evaluated period. This variation, when positive, may indicate that the herd is growing, has not yet stabilized, or the price of animals has increased.…”

Effect of socioeconomic factors on the yields of family-operated milk production systems

“…The city of Uberlândia provided nine properties; Prata provided six; Indianapólis and Patos de Minas, provided three each; Monte Alegre de Minas and Tupaciguara provided two each; and finally, the cities of Presidente Olegário, Lagoa Formosa and Canápolis provided one each. These properties were chosen using nonprobability judgemental sampling, considering the following criteria: availability and quality of the husbandry and financial data, the farmer's consent and interest in the research, and the researchers' ease of access to evidence sources (LOPES et al, 2015). Producers recorded the data in field books throughout the year, which the researchers collected at each monthly visit.…”