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Estimating technical efficiency of petroleum refineries using DEA and tobit model: An India perspective
Computers & Chemical Engineering ( IF 3.9 ) Pub Date : 2020-08-03 , DOI: 10.1016/j.compchemeng.2020.107047
Narendra N. Dalei , Jignesh M. Joshi

Due to a small profit margin, and for sustaining the level of competitiveness in the market, evaluation of the technical efficiency of Indian oil refineries can contribute in improving the overall performance. However, the technical efficiency of Indian refineries has not been analyzed until today. Therefore, this study measured the technical efficiency of 12 Indian oil refineries from 2011 to 2016. This research has utilized a two-stage approach: (1) Data Envelopment Analysis (DEA) is used to evaluate the technical efficiency of refineries; and (2) Tobit Regression model was applied to explain the variations in the efficiencies with the help of diverse explanatory variables. The DEA results revealed that IOCL-Barauni, BPCL-Kochi and IOCL-Panipat refineries are found highly efficient between 2011 to 2016 with an average efficiency score of more than 95%. A Tobit regression analysis also suggested four significant factors as explaining variations in refinery efficiency.



中文翻译:

使用DEA和tobit模型估算炼油厂的技术效率:印度的观点

由于利润率低,并且为了维持市场竞争力水平,对印度炼油厂的技术效率进行评估可以有助于改善整体绩效。但是,直到今天,印度炼油厂的技术效率尚未得到分析。因此,本研究测量了2011年至2016年印度12家炼油厂的技术效率。该研究采用了两个阶段的方法:(1)数据包络分析(DEA)用于评估炼油厂的技术效率;(2)运用Tobit回归模型,借助各种解释变量来解释效率的变化。DEA结果显示,IOCL-Barauni,BPCL-Kochi和IOCL-Panipat精炼厂在2011年至2016年之间效率很高,平均效率得分超过95%。Tobit回归分析还提出了四个重要因素来解释炼油厂效率的变化。

更新日期:2020-08-14
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