Journal article

DEA ARs and CRs applied to worldwide major oil companies

RG Thompson, PS Dharmapala, LJ Rothenberg, RM Thrall

Journal of Productivity Analysis | Published : 1994

Abstract

Data Envelopment Analysis (DEA) methods were applied to data of 14 major oil companies (Majors) for the years 1980-1987. The oil model focuses on the worldwide reserve exploration and oil production activities. Data were reported by Arthur Andersen & Co.'s Oil & Gas Reserve Disclosures. Newly developed DEA theory was used to link the input and output multiplier bounds and to measure maximum and minimum profit ratios. Also, this theory was used to identify uniquely inefficient firms and to project them uniquely to the DEA frontier. The DEA profit and efficiency measures partitioned the firms into low and high achievers. Discriminant analysis of a similarly constructed data base lends statisti..

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University of Melbourne Researchers