Use of Data Envelopment Analysis to Measure the Technical Efficiencies of Oil Refineries in India
Kartikey Pandey, Suchismita Satapathy
Abstract
Kartikey Pandey, Suchismita Satapathy
Abstract
This paper is an attempt to implement the Data Envelopment Analysis (DEA) approach to measure the relative efficiency of a sample of oil refineries in India over a period of two years, 2012, 2013. We demonstrate that DEA is an effective tool for the Ministry of Petroleum (MOP) for monitoring and controlling the performance of oil refineries, which are growing as an important sector in India. We followed a case study methodology where data about the inputs and outputs of refineries are gathered and analyzed to compute the relative efficiency of the refineries. Based on the results obtained, 91.66 of the refineries were efficient in 2011, and the same percentage was efficient in 2012. The overall efficiency of the refineries studied was about 98 and 98.9%respectively. Later, inefficient refineries were investigated closely to identify the areas in which the use of resources manifest decreasing returns to scale. We concluded the paper with some recommendations on the applicability of the DEA for oil refinery efficiency evaluation. Due to the absence of research work, in this discipline, in the oil sector in India, this study will add to our knowledge on how oil refineries in India may apply DEA to measure their efficiency, and how they might use the results to overcome efficiency problems. Although the results of the present paper are limited to the oil refineries studied; the DEA approach could trigger the attention of policy makers in the MOP to apply DEA to improve the efficiency of other DMUs. In addition, other manufacturing and service sectors in India could also benefit from this approach. Keywords: Data Envelopment Analysis, Technical Efficiency, Oil Refineries, Oil Refinery Performance
OpenAlex reports 3 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
This paper is an attempt to implement the Data Envelopment Analysis (DEA) approach to measure the relative efficiency of a sample of oil refineries in India over a period of two years, 2012, 2013. We demonstrate that DEA is an effective tool for the Ministry of Petroleum (MOP) for monitoring and controlling the performance of oil refineries, which are growing as an important sector in India. We followed a case study methodology where data about the inputs and outputs of refineries are gathered and analyzed to compute the relative efficiency of the refineries. Based on the results obtained, 91.66 of the refineries were efficient in 2011, and the same percentage was efficient in 2012. The overall efficiency of the refineries studied was about 98 and 98.9%respectively. Later, inefficient refineries were investigated closely to identify the areas in which the use of resources manifest decreasing returns to scale. We concluded the paper with some recommendations on the applicability of the DEA for oil refinery efficiency evaluation. Due to the absence of research work, in this discipline, in the oil sector in India, this study will add to our knowledge on how oil refineries in India may apply DEA to measure their efficiency, and how they might use the results to overcome efficiency problems. Although the results of the present paper are limited to the oil refineries studied; the DEA approach could trigger the attention of policy makers in the MOP to apply DEA to improve the efficiency of other DMUs. In addition, other manufacturing and service sectors in India could also benefit from this approach. Keywords: Data Envelopment Analysis, Technical Efficiency, Oil Refineries, Oil Refinery Performance
Key concepts: Oil refinery, Data envelopment analysis, Refinery, Christian ministry, Measure (data warehouse), Petroleum, Engineering, Environmental economics