Unitary input DEA model to identify beef cattle production systems typologies

Gomes, Eliane Gonçalves; Abreu, U. G. P. de; Mello, João Carlos Correia Baptista Soares de; Carvalho, Thiago Bernardino de; Zen, Sérgio de

doi:10.1590/s0101-74382012005000015

Cited by 16 publications

(12 citation statements)

References 33 publications

(5 reference statements)

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“…We assume unitary input for all experimental units to make the analysis consistent. This idea is not unusual in the DEA literature and can be seen, for instance, in Caporaletti et al (1999), Lovell andPastor (1999), De Koeijer et al (2002), Leta et al (2005), and Gomes et al (2008Gomes et al ( , 2012.…”

Section: Methodsmentioning

confidence: 83%

Factors affecting the performance of Pantaneiro horses

et al. 2018

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-This study aimed to assess the physical performance of Pantaneiro horses with and without equine infectious anemia (EIA) under functional conditions of cattle management. The horses were subjected to a performance test and split into two groups according to a completely randomized design: animals were chosen from populations testing positive and negative for EIA. Performance was measured as a function of a data envelopment analysis (DEA) model considering four outputs and one unitary input. The output measures were the distance achieved in the performance test, hematocrit as a weighted average over the test duration, respiratory rate as weighted average over the test duration, and the level of lactic acid at the test termination. Weights for the hematocrit and the respiratory rate output variables were determined by means of factor analysis. The performance score was a weighted average of the output variables with the weights defined by the averages of the optimum individual multipliers in the DEA analysis. Contextual variables of interest were age, horse weight, room temperature, and corporal temperature. Only groups and room temperature were statistically significant effects, as indicated by a bootstrap analysis. The performance of group positive for EIA is significantly lower than that of the group negative for EIA and room temperature has a negative effect.

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Section: Methodsmentioning

confidence: 83%

Factors affecting the performance of Pantaneiro horses

et al. 2018

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“…Two models were run (with six inputs and one output, and with three inputs and one output) and the efficiency results were analyzed based on the classical and inverted DEA frontiers, besides the value of the composite index that combines both results. Other examples of DEA use in Brazilian beef cattle production can be seen in Gomes et al (2012) and Abreu et al (2012). Some recent uses of DEA in agriculture as a whole may be found, for instance, in Aldanondo-Ochoa et al (2013), Bojnec and Latruffe (2013), Falavigna et al (2013), Novo et al (2013), andSánchez-Zamora et al (2014).…”

Section: Methodsmentioning

confidence: 99%

Economic and socio-environmental performance assessment of beef cattle production systems: a data envelopment analysis (DEA) approach with weight restrictions

et al. 2015

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-This study evaluated the performance of 21 beef cattle modal production systems that conduct only the raising phase. These production systems were developed in 21 municipalities in seven Brazilian states. We used two different DEA BCC models, corresponding to different points of view. Firstly we used an economic model that measured the ability of a production system to generate revenue with the preservation of native forest, using labor, capital, and current spending as inputs. The socio-environmental approach, corresponding to the second BCC model, uses the production factor labor as an output. In that model our interest was to assess whether the capital costs generate economic, environmental, and social benefits. Weight restrictions were imposed on the output variables of each model to explain the proposed viewpoints and to avoid inconsistent results. The results pointed out sources of inefficiency in terms of labor with low qualification, and use of bulls of questionable quality, factors that are common in extensive systems. These are some of the major bottlenecks in animal production systems as a whole.

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“…In [8], the production relative efficiencies and productivity changes of agricultural cooperatives were measured using DEA and the Malmquist index. In [9], the beef cattle production was examined using a unitary input DEA model combined to relative efficiency measures generated by the inverted DEA frontier. In [3], DEA models were used to compare the performance of farms cultivated with different technologies, and an algorithm for calculating the relative efficiency scores taking into account such non-homogeneity was proposed.…”

Section: Dea's Application In Agriculturementioning

confidence: 99%

“…Here, as [9,11], we apply a unitary input DEA model, but unlikely we use SOMs to cluster the production units and allow the homogeneity in the subset to be evaluated by each DEA model. In this sense, our proposal differs from [10], which used the DEA cross-efficiencies as inputs to the SOMs procedure for expost clustering.…”

Section: Dea's Application In Agriculturementioning

confidence: 99%

Productive performance of small peri-urban farms using self-organizing maps and data envelopment analysis

Rubem¹,

Moura²,

Oliveira³

et al. 2015

WIT Transactions on Ecology and the Environment

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In this paper, we aim to analyze the productive performance of plots cultivated by family farmers. We use an alternative Data Envelopment Analysis (DEA) approach to calculate the relative efficiency of such plots. Notwithstanding, DEA's basic assumption includes the homogeneity of the production units under analysis. Herein, as the chemical composition of the soil varies considerably among plots, directly influencing their fertility, and, thus, their productivity levels, the plots shall be grouped into homogeneous clusters first. For that, we use SelfOrganizing Maps, based on their comparative advantages to other methods. Then, the relative efficiencies of plots within each cluster will be assessed using separate DEA models. Nonetheless, a direct comparison among the scores of plots from different clusters is not feasible, because the relative efficiency of a production unit can solely be compared to those inserted in the same set of analysis. Hence, to overcome such inconvenience, we further apply a technique that allows compensating for the non-homogeneity of plots. The results indicate that, when countervailing the effects of the chemical composition of the soil, the plots with favorable conditions do not necessarily present better productive outcomes.

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Unitary input DEA model to identify beef cattle production systems typologies

Cited by 16 publications

References 33 publications

Factors affecting the performance of Pantaneiro horses

Factors affecting the performance of Pantaneiro horses

Economic and socio-environmental performance assessment of beef cattle production systems: a data envelopment analysis (DEA) approach with weight restrictions

Productive performance of small peri-urban farms using self-organizing maps and data envelopment analysis

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