-The objective of this paper was to analyze financial management practices in dairy production systems. More specifically, we sought to identify which milk producers adopt financial management practices. We conducted 55 semistructured questionnaires in the Western Region of Paraná. The data were processed through descriptive and multivariate statistical analysis. The analysis of hierarchical clusters defined, based on variables related to financial management practices, two distinct groups. The first group included milk producers who do not adopt financial management practices (N = 49) and the second group described the milk producers who do adopt these practices (N = 6). We then used Common Factor Analysis, along with structural, technical, productive, and socioeconomic variables to define the three factors that best explained the variance between the clusters: factor 1 -structural; factor 2 -social; factor 3 -informational. Smaller dairy production systems, with lower production, managed by younger producers, and employing younger workers, are those adopting financial management practices. Therefore, the scarcity of resources is not a limiting factor in the adoption of financial management practices.
The objective of this study is to analyze the typology of dairy production systems (DPS) in Paraná, Brazil, based on sustainable practices adopted by agricultural producers. A total of 153 semi-structured questionnaires containing variables for general characterization of DPS, socioeconomic characteristics of farmers, as well as environmental, social, and economic sustainability actions implemented by rural workers were applied. Common factor analysis (CFA) was used to evaluate sustainability variables. Three factors were created: economic (F1), social (F2), and environmental (F3). Hierarchical clusters were formed using the factor scores obtained in CFA. Three clusters were defined and were compared with F1, F2, and F3. There were significant differences in F1 and F2 between clusters 1, 2, and 3. Cluster 1 contained DPS highly compliant with economic, social, and environmental sustainability practices. Cluster 2 was defined by DPS with negative mean values for all three factors. Cluster 3 contained DPS that were highly compliant with F1 and F2 activities compared to cluster 2 and poorly compliant with F1 and F2 actions compared to cluster 1. Therefore, the DPS in Paraná vary according to the sustainable activities implemented by farm managers. In addition, most analyzed DPS have low survival capacity in the medium- and long-term. The most critical sustainability factor was F3, followed by F2 and F1.
In the present study, we aimed to develop and apply a model to evaluate the social, economic, and environmental sustainability of dairy production systems (DPS). In addition, we sought to analyze structural and production characteristics of DPS of different sustainability levels. Semi-structured questionnaires were used to collect structural and production data as well as information on sustainability actions taken by rural producers in 152 DPS located in Paraná, Brazil. The proposed model was applied to analyze the data. Each DPS received a score to represent its level of social, environmental, and economic sustainability, and DPS with similar sustainability levels were grouped according to these indicators using hierarchical cluster analysis. Three groups were formed: G1, comprising the largest proportion of DPS (63.8%); G2 comprising 20.4% of DPS; and G3, comprising 15.8% of DPS. The mean values of the sustainability indicators of each group were compared to those of other groups using analysis of variance (ANOVA) and Tukey’s test. Subsequently, groups were analyzed in terms of structural and production characteristics. G2 was characterized by the highest levels of environmental, social, and economic sustainability. G1 had intermediate sustainability levels, and G3 achieved the worst results in the three sustainability indicators. The best sustainability performance of the three DPS groups was in the environmental dimension, followed by the economic dimension and lastly the social dimension. DPS with large-scale production and high productivity showed the highest sustainability indicators. The sustainability assessment model was suitable for DPS, having the advantages of being easy to apply, easy to interpret, and low cost.
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