Efficiency in Brazilian Refineries under Different DEA Technologies

Abstract

This paper aims to assess the environmental efficiency of refineries in the public sector with emphasis on generated effluents and water consumption in the production process. In order to conduct this research, the addressed method was quantitative with a qualitative approach to the environmental aspects of controllable and uncontrollable variables implemented in two classical models of Data Envelopment Analysis (DEA), considering only desirable outputs and two DEA models which include undesirable outputs. The sample consists of ten refineries considering the following as input variables: idleness percentage of the operating plant, the amount of water consumed; and the following as outputs: refinery production volume and generated effluents, desirable and undesirable, respectively, besides the uncontrollable variable, the refinery age. With the comparison result between the models, we observed the clear importance of the environmental variable for a more realistic analysis of the production process.

Discovering the Impact of ICT, FDI and Human Capital on GDP: A Cross-sectional Analysis

“…Moreover, the statistical properties of DEA are established and inference may be performed using bootstrap methods, as discussed in [28]. In recent years, DEA has been widely employed to analyse productivity and technical efficiency, both at an industry level [30][31][32][33][34][35] and in order to compare different countries [21,37]. In the latter case, and after having obtained a measure of the technical efficiency of the various countries, the second step is usually to group them in order to identify some common characteristics related to economic growth.…”

Operational efficiency assessment of oil refineries using data envelopment analysis and Tobit model: evidence from India

“…They found that the production cost was reduced by implementing an environmental management system. Francisco et al (2012) evaluated environmental efficiency. The opinion was that the technological development within oil refineries was largely encouraged by environmental restrictions on the quality of increment in petroleum products.…”

A New Approach for Assessing Dealership Performance: An Application for the Automotive Industry

“…In addition, many studies are based on social issues, focusing on the satisfaction level of employees, customers and, in general, stakeholders [15][16][17][18]; others evaluate company performance on the basis of user-perceived quality, considering this a driver for the company success [19][20]. Studies that analyse the productivity and efficiency of companies are of particular interest [21][22][23], especially those that utilize DEA [24][25][26].…”