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Competition and Allocative Efficiency: The Case of the U.S. Telephone Industry

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  • Oum, Tae Hoon
  • Zhang, Yimin

Abstract

This study investigates the effect of competition on the productive efficiency of the U.S. telephone industry, taking into account the fact that the industry was subject to rate-of-return regulation. It is shown that competition induces the incumbents to use capital inputs closer to the unconstrained optima, thereby reducing the allocative inefficiency caused by the Averch-Johnson effect. This effect is in addition to the usual technical efficiency improvement induced by competition. Empirical results, based on annual data for the U.S. telephone industry for the 1951-90 period, suggested that competition improved the allocative efficiency of the incumbent firms which had been under a rate-of-return regulation until 1989. Copyright 1995 by MIT Press.

Suggested Citation

  • Oum, Tae Hoon & Zhang, Yimin, 1995. "Competition and Allocative Efficiency: The Case of the U.S. Telephone Industry," The Review of Economics and Statistics, MIT Press, vol. 77(1), pages 82-96, February.
    • Handle: RePEc:tpr:restat:v:77:y:1995:i:1:p:82-96
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    Cited by:

    1. Rodriguez-Alvarez, Ana & Fernandez-Blanco, Victor & Lovell, C. A. Knox, 2004. "Allocative inefficiency and its cost:: The case of Spanish public hospitals," International Journal of Production Economics, Elsevier, vol. 92(2), pages 99-111, November.
    2. Bitzan, John & Peoples, James, 2014. "U.S. air carriers and work-rule constraints – Do airlines employ an allocatively efficient mix of inputs?," Research in Transportation Economics, Elsevier, vol. 45(C), pages 9-17.
    3. Al-Hadi, Azrina Abdullah & Bitzan, John & Peoples, James, 2019. "Input allocation efficiency in the United States railroad industry: Changing work rules and managerial flexibility," Transportation Research Part A: Policy and Practice, Elsevier, vol. 126(C), pages 281-296.
    4. Gary Madden & Scott J. Savage & Jason Ng, 2003. "Asia–Pacific Telecommunications Liberalisation and Productivity Performance," Australian Economic Papers, Wiley Blackwell, vol. 42(1), pages 91-102, March.
    5. Ndembe, Elvis & Bitzan, John D., 2022. "A shadow price approach examining service quality in a heavily captive U.S. freight transportation market: The case of grain transport," Transport Policy, Elsevier, vol. 116(C), pages 1-10.
    6. Yan Li & Catherine Waddams Price, 2012. "Effect of Regulatory Reform on the Efficiency of Mobile Telecommunications," Working Paper series, University of East Anglia, Centre for Competition Policy (CCP) 2012-01, Centre for Competition Policy, University of East Anglia, Norwich, UK..
    7. Bouras, Hela & Fekih, Bouthaina Soussi, 2013. "Quality institutional reform and economic performance: Case of telecommunications in the MENA region," MPRA Paper 55888, University Library of Munich, Germany.
    8. Badunenko, Oleg & Fritsch, Michael & Stephan, Andreas, 2008. "Allocative efficiency measurement revisited--Do we really need input prices?," Economic Modelling, Elsevier, vol. 25(5), pages 1093-1109, September.
    9. Peilei Fan, 2011. "Innovation capacity and economic development: China and India," Economic Change and Restructuring, Springer, vol. 44(1), pages 49-73, April.
    10. Efthymios G. Tsionas & Dimitris K. Christopoulos, 2004. "Inflation, Shadow Prices and the EMU: Evidence From Greece," Bulletin of Economic Research, Wiley Blackwell, vol. 56(3), pages 251-269, July.
    11. Balk, Bert M., 1997. "The decomposition of cost efficiency and the canonical form of cost function and cost share equations," Economics Letters, Elsevier, vol. 55(1), pages 45-51, August.
    12. Burki, Abid A. & Khan, Mahmood-ul-Hasan, 2004. "Effects of allocative inefficiency on resource allocation and energy substitution in Pakistan's manufacturing," Energy Economics, Elsevier, vol. 26(3), pages 371-388, May.
    13. Wilson, Wesley W. & Zhou, Yimin, 2001. "Telecommunications deregulation and subadditive costs: Are local telephone monopolies unnatural?," International Journal of Industrial Organization, Elsevier, vol. 19(6), pages 909-930, May.
    14. Young Bong Chang & Vijay Gurbaxani, 2013. "An Empirical Analysis of Technical Efficiency: The Role of IT Intensity and Competition," Information Systems Research, INFORMS, vol. 24(3), pages 561-578, September.
    15. Shabbir Ahmad & Abid A. Burki, 2016. "Banking deregulation and allocative efficiency in Pakistan," Applied Economics, Taylor & Francis Journals, vol. 48(13), pages 1182-1196, March.
    16. Nongluk Buranabunyut & James Peoples, 2012. "An empirical analysis of incentive regulation and the allocation of inputs in the US telecommunications industry," Journal of Regulatory Economics, Springer, vol. 41(2), pages 181-200, April.
    17. Deergha Raj Adhikari, 2004. "Measuring market power of the US cigarette industry," Applied Economics Letters, Taylor & Francis Journals, vol. 11(15), pages 957-959.
    18. Halkos, George & Tzeremes, Nickolaos, 2011. "A conditional full frontier approach for investigating the Averch-Johnson effect," MPRA Paper 35491, University Library of Munich, Germany.
    19. Oum, Tae Hoon & Yu, Chunyan, 1998. "Cost competitiveness of major airlines: an international comparison," Transportation Research Part A: Policy and Practice, Elsevier, vol. 32(6), pages 407-422, August.

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