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Arthshastra Indian Journal of Economics & Research

ISSN: 2278-1811 Frequency: Quarterly Peer Review: Double-blind Published since: 2012 Language: English
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Empirical Estimation of Technical and Scale Efficiency in Indian City Gas Distribution (CGD) Entities Using DEA

Open Access Original Article

Empirical Estimation of Technical and Scale Efficiency in Indian City Gas Distribution (CGD) Entities Using DEA

T. Nandakumar1,  Sandeep Chouhan2

1 Senior Manager (Chemical), GAIL (India) Ltd., 8th Floor, GAIL Jubilee Tower, Plot No : B-35&36, Sector-1, Noida-201 301 & Ph.D. Scholar, Indian Institute of Foreign Trade (IIFT), New Delhi

2 Manager (Marketing), GAIL (India) Ltd., 16, Bhikaji Cama Place , R. K Puram, New Delhi-110 066

Volume 5
Issue 2
Pages 16–27
Year 2016
Received: July 28, 2015 Accepted: April 8, 2016 Published: April 1, 2016
Abstract

This paper empirically examined the technical and scale efficiency of 14 entities of Indian city gas distribution (CGD) entities using the data development analysis. The efficiency score thus obtained was used for ranking the entities. This study also discovered, on an average, that the entities which had legacy and well entrenched infrastructure performed more efficiently than newer entities. This study also pointed out that most of the firms, which were new entrants and small in size, were operating under increasing return to scale. Currently, the Indian regulatory authorities follow the traditional approach of rate of return method for the promotion of CGD entities and benchmarking of these utilities through efficient measurement. The present study shall help regulators to monitor their performance for reducing the information asymmetry between the regulator and regulated companies.

Keywords Data Envelopment Analysis Technical and Scale Efficiency PNGRP Indian CGD Entities
How to Cite

T. Nandakumar, Sandeep Chouhan (2016). Empirical Estimation of Technical and Scale Efficiency in Indian City Gas Distribution (CGD) Entities Using DEA. Arthshastra Indian Journal of Economics & Research, 5(2), 16–27. https://doi.org/10.17010/aijer/2016/v5i2/92788

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