Comparative Assessment of Resource Productivity Factors in the Oil and Gas Companies

E. I. Kadochnikova*, L. F. Zulfakarova, Z. N. Zapparova and L. B. Sungatullina
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E. I. Kadochnikova*: Kazan Federal University, Russia
L. F. Zulfakarova: Kazan Federal University, Russia
Z. N. Zapparova: Kazan Federal University, Russia
L. B. Sungatullina: Kazan Federal University, Russia

The Journal of Social Sciences Research, 2018, 75-79 Special Issue: 5

Abstract: The study provides a method using econometric analysis to create corporate organizational knowledge in order to enhance innovation and competitiveness of the corporation. Improving the efficiency of industrial business processes involves analyzing cost information using specialized statistical and econometric software. Gretl package fully solves the problem of determining the relationship between performance, cost center classification, forecasting and simulating the consequences of the decisions taken, highlighting the segments and building predictive profiles of each costs segment. The authors demonstrate capabilities of panel data to prove the necessity of modern analysis methods in the management of business processes. To this end, the paper suggests the methodical approach to measuring drivers of resource productivity on the basis of panel data models, taking into account the individual differences between the economic units by the example of oil production. Measuring and identifying the drivers of business processes efficiency on the basis of panel data models can be one of the possible areas of management cognitive supporting. The results obtained with the use of Gretl software of empirical assessment confirmed their feasibility in the management of business processes in oil and gas production.

Keywords: Resource productivity; Innovation; oil; Corporate knowledge; Panel data models; Econometric analysis; Heterogeneity; Productivity (search for similar items in EconPapers)
Date: 2018
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