Empirical Estimation of Technical and Scale Efficiency in Indian City Gas Distribution (CGD) Entities Using DEA
DOI:
https://doi.org/10.17010/aijer/2016/v5i2/92788Keywords:
Data Envelopment Analysis
, Technical and Scale Efficiency, PNGRP, Indian CGD EntitiesL11
, L23, L95Paper Submission Date
, July 28, 2015, Paper sent back for Revision, January 18, 2016, Paper Acceptance Date, April 8, 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.Downloads
Downloads
Published
How to Cite
Issue
Section
References
Banker, R. D., Charnes, A., & Cooper, W. W. (1984). Some models for estimating technical and scale inefficiencies in data envelopment analysis. Management Science, 30(9), 1078-1092. doi: http://dx.doi.org/10.1287/mnsc.30.9.1078
Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2 (6), 429-444.
Coelli, T. J. (1996). A guide to DEAP version 2.1: A data envelopment analysis computer program (CEPA Working Paper 96/08). NSW, Australia : Center for Efficiency and Productivity Analysis, University of New England.
Coelli, T. J., Rao, D. S. P., O'Donnell, C.J., & Battese, G.E. (2005). An introduction to efficiency and productivity analysis. New York, NY : Springer.
Corbeau, A. S. (2010). Natural gas in India (International Energy Agency Working Paper). Paris, France : IEA. Retrieved from https://www.iea.org/publications/freepublications/publication/natural_gas_india_2010.pdf
Erbetta, F., & Rappuoli, L. (2003). Estimating optimal scale and technical efficiency in the Italian gas distribution industry (HERMES Working Paper6). Vercelli, Italy : University of Eastern Piedmont.
Ertürk, M. (2009). Efficiency analysis of Turkish natural gas distribution companies by using DEA method (Master Thesis). Turkey : Middle East Technical University.
Farrell, M.J. (1957). The measurement of productive efficiency. Journal of Royal Statistical Society, Series A, General, 120 (3), 253-281.
Hawdon, D. (2003). Efficiency, performance and regulation of the international gas industry : A bootstrap DEA approach. Energy Policy, 31 (11), 1167-1178. doi: 10.1016/S0301-4215(02)00218-5
Jamasb, T., Newbery, D., Pollitt, M., & Triebs, T. (2007). International benchmarking and regulation of European gas transmission utilities. Final Report prepared for the Council of European Energy Regulators.CEER: Brussels.
Jamasb, T., Pollitt, M., & Triebs, T. (2008). Productivity and efficiency of US gas transmission companies: A European regulatory perspective. Energy Policy, 36 (9), 3398-3412.
Kim, T. Y., Lee, J. - D., Park, Y. H., & Kim, B. (1999). International comparison of productivity and its determinants in the natural gas industry. Energy Economics, 21(3), 273-293. doi: 10.1016/S0140-9883(99)00007-9
Lawrence, D. (2010). The productivity performance of Envestra's South Australian and Queensland gas distribution systems. Australia : Economic Insights.
Lawrence, D., & Kain, J. (2012). Econometric estimates of the Victorian Gas distribution businesses' efficiency and future productivity growth. Australia : Economic Insights.
Maria, N., Cullmann, A., & Neumann, A. (2010). Overcoming data limitations in nonparametric benchmarking: Applying PCA-DEA to natural gas transmission. Review of Network Economics, 9 (2), 1-22. DOI: 10.2202/1446-9022.1209
Petroleum and Natural Gas Regulatory Board (PNGRB). (2013). EOI CGD network 2013. Retrieved from http://www.pngrb.gov.in/CGD-network.html
Petroleum and Natural Gas Regulatory Board. (2008). G.S.R 197(E) : PNGRB Determination of network tariff for city or local natural gas distribution networks and compression charge for CNG regulations. Retrieved from http://www.pngrb.gov.in/OurRegulation/CGD-Network-GSR197.html
Rossi, M. A. (2001). Technical change and efficiency measures: The post-privatization in the gas distribution sector in Argentina. Energy Economics, 23 (3), 295-304. doi: 10.1016/S0140-9883(00)00067-0
Sadjadi, S. J., Omrani, H., Abdollahzadeh, S., Alinaghian, M., & Mohammadi, H. (2011). A robust super-efficiency data envelopment analysis model for ranking of provincial gas companies in Iran. Expert Systems with Applications, 38 (9), 10875-10881. doi: 10.1016/j.eswa.2011.02.120
Storto, C. L. (2014). Gas distribution in Italy: A non-parametric analysis of companies operational efficiency. In, X. Zhang, B. Zhang, L. Jiang, & M. Lie, Advanced materials research (Vols. 838-841 (01), 1972-1978. doi: 10.4028/www.scientific.net/AMR.838-841.1972
Zorić, J., Hrovatin, N., & Scarsi, G. (2009). Gas distribution benchmarking of utilities from Slovenia, the Netherlands and the UK: An application of data envelopment analysis. South East European Journal of Economics and Business, 4(1), 113-124. doi: 10.2478/v10033-009-0008-1