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Dynamic energy matrices: a technological efficiency probe into Indian oil and gas sector

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  • Mohd Afjal

Abstract

This research analyses the Indian oil and gas industry's efficiency and productivity from 2016 to 2020 using data envelopment analysis (DEA) and the Malmquist productivity index (MPI). It focuses on public sector undertakings (PSUs) under the Ministry of Petroleum and Natural Gas, employing the super SBM model and MPI analysis to evaluate the performance of decision-making units (DMUs). The study identifies significant performance variances, with companies like OIL, ONGC, CPCL, and NRL excelling in resource utilisation, whereas others such as BPCL, IOCL, GAIL, BLL, and BLCL show a need for strategic improvement. It highlights inefficiencies and potential for restructuring to achieve more efficient production. The findings aid policymakers in understanding operational disparities and formulating strategies for resource optimisation. This research is crucial for continuous efficiency assessment in the refinery sector, offering insights for industry growth and enhancing the understanding of India's oil and gas industry.

Suggested Citation

  • Mohd Afjal, 2025. "Dynamic energy matrices: a technological efficiency probe into Indian oil and gas sector," International Journal of Business Performance Management, Inderscience Enterprises Ltd, vol. 26(6), pages 730-751.
    • Handle: RePEc:ids:ijbpma:v:26:y:2025:i:6:p:730-751
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