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Ownership Structure and Technical Efficiency: Evidence from the Indian Utility Sector

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  • Shrabana Tripathi

    (Banaras Hindu University Varanasi (U.P.))

Abstract

The Indian utility sector is undergoing a transformation in ownership structure, driven by global energy market shifts, technological advancements, evolving government policies, and changing consumer demands. The present study examines the impact of ownership structure on the technical efficiency (TE) of state-owned and private utility firms in India, covering the period from 2004 to 2023. Using stochastic frontier analysis (SFA), the research investigates how factors such as firm size, age, and ownership influence inefficiencies in the sector. The findings reveal that ownership structure plays a significant role in TE, with state-owned firms demonstrating a higher mean technical efficiency of 72%, compared to 63% for private firms. The average technical efficiency across the sector was 58%, indicating a need for overall improvement. To address inefficiencies and meet increasing demand, the study emphasizes the importance of adopting modern technologies, improving management practices, and optimizing resource utilization within utility firms. Additionally, regulatory reforms are essential to streamline processes, encourage competition, and foster innovation. Ultimately, the coexistence of state-owned and private firms is key to creating a competitive and dynamic environment, which will drive sustainable growth and ensure reliable utility services in India.

Suggested Citation

  • Shrabana Tripathi, 2025. "Ownership Structure and Technical Efficiency: Evidence from the Indian Utility Sector," SN Operations Research Forum, Springer, vol. 6(1), pages 1-25, March.
  • Handle: RePEc:spr:snopef:v:6:y:2025:i:1:d:10.1007_s43069-024-00398-6
    DOI: 10.1007/s43069-024-00398-6
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    as
    1. Ahmad Shadab Khan & Shakeb Akhtar & Mahfooz Alam, 2024. "How efficient are Indian banks? An application of stochastic frontier analysis," Journal of Financial Economic Policy, Emerald Group Publishing Limited, vol. 17(1), pages 52-76, July.
    2. Alchian, Armen A & Demsetz, Harold, 1972. "Production , Information Costs, and Economic Organization," American Economic Review, American Economic Association, vol. 62(5), pages 777-795, December.
    3. van den Broeck, Julien & Koop, Gary & Osiewalski, Jacek & Steel, Mark F. J., 1994. "Stochastic frontier models : A Bayesian perspective," Journal of Econometrics, Elsevier, vol. 61(2), pages 273-303, April.
    4. Joseph, Kelli L., 2010. "The politics of power: Electricity reform in India," Energy Policy, Elsevier, vol. 38(1), pages 503-511, January.
    5. Malerba, Franco, 1992. "Learning by Firms and Incremental Technical Change," Economic Journal, Royal Economic Society, vol. 102(413), pages 845-859, July.
    6. Kumbhakar, Subal C., 1991. "Estimation of technical inefficiency in panel data models with firm- and time-specific effects," Economics Letters, Elsevier, vol. 36(1), pages 43-48, May.
    7. Lee, Lung-Fei & Tyler, William G., 1978. "The stochastic frontier production function and average efficiency : An empirical analysis," Journal of Econometrics, Elsevier, vol. 7(3), pages 385-389, April.
    8. C. J. O'Donnell & W. E. Griffiths, 2006. "Estimating State-Contingent Production Frontiers," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 88(1), pages 249-266.
    9. Honma, Satoshi & Hu, Jin-Li, 2009. "Total-factor energy productivity growth of regions in Japan," Energy Policy, Elsevier, vol. 37(10), pages 3941-3950, October.
    10. Boardman, Anthony E & Vining, Aidan R, 1989. "Ownership and Performance in Competitive Environments: A Comparison of the Performance of Private, Mixed, and State-Owned Enterprises," Journal of Law and Economics, University of Chicago Press, vol. 32(1), pages 1-33, April.
    11. Gathon, H. -J. & Pestieau, P., 1995. "Decomposing efficiency into its managerial and its regulatory components: The case of European railways," European Journal of Operational Research, Elsevier, vol. 80(3), pages 500-507, February.
    12. Stevenson, Rodney E., 1980. "Likelihood functions for generalized stochastic frontier estimation," Journal of Econometrics, Elsevier, vol. 13(1), pages 57-66, May.
    13. Mr. Bulent Unel, 2003. "Productivity Trends in India's Manufacturing Sectors in the Last Two Decades," IMF Working Papers 2003/022, International Monetary Fund.
    14. Chen, Zhongfei & Barros, Carlos Pestana & Borges, Maria Rosa, 2015. "A Bayesian stochastic frontier analysis of Chinese fossil-fuel electricity generation companies," Energy Economics, Elsevier, vol. 48(C), pages 136-144.
    15. Chao Liu & Jiaye Lu & Ding Li & Mengyao Jia & Kunru Han, 2023. "Are State-Owned Enterprises Really Ineffective? An Empirical Study Based on Stochastic Frontier Analysis," Mathematics, MDPI, vol. 11(3), pages 1-22, January.
    16. Pitt, Mark M. & Lee, Lung-Fei, 1981. "The measurement and sources of technical inefficiency in the Indonesian weaving industry," Journal of Development Economics, Elsevier, vol. 9(1), pages 43-64, August.
    17. Schmidt, Peter & Sickles, Robin C, 1984. "Production Frontiers and Panel Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 2(4), pages 367-374, October.
    18. George E. Battese & Greg S. Corra, 1977. "Estimation Of A Production Frontier Model: With Application To The Pastoral Zone Of Eastern Australia," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 21(3), pages 169-179, December.
    19. Parida, Meenakshi & Madheswaran, S., 2021. "Does ownership matter? Empirical evidence from the performance of Indian state and private coal mining companies," Resources Policy, Elsevier, vol. 74(C).
    20. McDonald, Scott & Roberts, Jennifer, 2002. "Growth and multiple forms of human capital in an augmented Solow model: a panel data investigation," Economics Letters, Elsevier, vol. 74(2), pages 271-276, January.
    21. Durlauf, Steven N & Johnson, Paul A, 1995. "Multiple Regimes and Cross-Country Growth Behaviour," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 10(4), pages 365-384, Oct.-Dec..
    22. Jensen, Michael C. & Meckling, William H., 1976. "Theory of the firm: Managerial behavior, agency costs and ownership structure," Journal of Financial Economics, Elsevier, vol. 3(4), pages 305-360, October.
    23. Jebali, Eya & Essid, Hédi & Khraief, Naceur, 2017. "The analysis of energy efficiency of the Mediterranean countries: A two-stage double bootstrap DEA approach," Energy, Elsevier, vol. 134(C), pages 991-1000.
    24. Weixin Yang & Lingguang Li, 2017. "Analysis of Total Factor Efficiency of Water Resource and Energy in China: A Study Based on DEA-SBM Model," Sustainability, MDPI, vol. 9(8), pages 1-21, July.
    25. Sangho Kim & Gwangho Han, 2001. "A Decomposition of Total Factor Productivity Growth in Korean Manufacturing Industries: A Stochastic Frontier Approach," Journal of Productivity Analysis, Springer, vol. 16(3), pages 269-281, November.
    26. Reifschneider, David & Stevenson, Rodney, 1991. "Systematic Departures from the Frontier: A Framework for the Analysis of Firm Inefficiency," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 32(3), pages 715-723, August.
    27. K. P. Kalirajan & J . C. Flinn*, 1983. "The Measurement Of Farm-Specific Technical Efficiency," Pakistan Journal of Applied Economics, Applied Economics Research Centre, vol. 2(2), pages 167-180.
    28. Krishna, Pravin & Mitra, Devashish, 1998. "Trade liberalization, market discipline and productivity growth: new evidence from India," Journal of Development Economics, Elsevier, vol. 56(2), pages 447-462, August.
    29. Kodde, David A & Palm, Franz C, 1986. "Wald Criteria for Jointly Testing Equality and Inequality Restriction s," Econometrica, Econometric Society, vol. 54(5), pages 1243-1248, September.
    30. Jondrow, James & Knox Lovell, C. A. & Materov, Ivan S. & Schmidt, Peter, 1982. "On the estimation of technical inefficiency in the stochastic frontier production function model," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 233-238, August.
    31. Aguilera, Ruth & Duran, Patricio & Heugens, P.P.M.A.R. & Sauerwald, Steve & Turturea, Roxana & VanEssen, Marc, 2021. "State ownership, political ideology, and firm performance around the world," Journal of World Business, Elsevier, vol. 56(1).
    32. Battese, George E. & Corra, Greg S., 1977. "Estimation Of A Production Frontier Model: With Application To The Pastoral Zone Of Eastern Australia," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 21(3), pages 1-11, December.
    33. Sahoo, Bimal Kishore & Nauriyal, D.K., 2014. "Trends in and determinants of technical efficiency of software companies in India," Journal of Policy Modeling, Elsevier, vol. 36(3), pages 539-561.
    34. Hung-Jen Wang, 2002. "Heteroscedasticity and Non-Monotonic Efficiency Effects of a Stochastic Frontier Model," Journal of Productivity Analysis, Springer, vol. 18(3), pages 241-253, November.
    35. Abdul Wadud & Ben White, 2000. "Farm household efficiency in Bangladesh: a comparison of stochastic frontier and DEA methods," Applied Economics, Taylor & Francis Journals, vol. 32(13), pages 1665-1673.
    36. Faqir Singh Bagi & Cliff J. Huang, 1983. "Estimating Production Technical Efficiency for Individual Farms in Tennessee," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 31(2), pages 249-256, July.
    37. Jovanovic, Boyan, 1982. "Selection and the Evolution of Industry," Econometrica, Econometric Society, vol. 50(3), pages 649-670, May.
    38. Caves, Douglas W & Christensen, Laurits R, 1980. "The Relative Efficiency of Public and Private Firms in a Competitive Environment: The Case of Canadian Railroads," Journal of Political Economy, University of Chicago Press, vol. 88(5), pages 958-976, October.
    39. Hayatullah Ahmadzai, 2017. "Crop Diversification and Technical Efficiency in Afghanistan: Stochastic Frontier Analysis," Discussion Papers 2017-04, University of Nottingham, CREDIT.
    40. Andrei Shleifer & Robert W. Vishny, 1994. "Politicians and Firms," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 109(4), pages 995-1025.
    41. Anup Kumar Bhandari & Pradip Maiti, 2007. "Efficiency of Indian Manufacturing Firms: Textile Industry as a Case Study," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 6(1), pages 71-88, April.
    42. Haishun Sun & Phillip Hone & Hristos Doucouliago, 1999. "Economic openness and technical efficiency: A case study of Chinese manufacturing industries," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 7(3), pages 615-636, November.
    43. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
    44. Nadeem Ahmad Bhat & Sandeep Kaur, 2024. "Technical Efficiency Analysis of Indian IT Industry: A Panel Data Stochastic Frontier Approach," Millennial Asia, , vol. 15(2), pages 327-348, June.
    45. Soo-Wei Koh & Shahidur Rahman & G. K. Randolph Tan, 2004. "Stochastic Frontier Analysis Of Singapore Manufacturing Industries," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 49(01), pages 85-103.
    46. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-444, June.
    47. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    48. Karl Lundvall & George Battese, 2000. "Firm size, age and efficiency: Evidence from Kenyan manufacturing firms," Journal of Development Studies, Taylor & Francis Journals, vol. 36(3), pages 146-163.
    49. George E. Batiese, 1992. "Frontier production functions and technical efficiency: a survey of empirical applications in agricultural economics," Agricultural Economics, International Association of Agricultural Economists, vol. 7(3-4), pages 185-208, October.
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