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Parametric and Nonparametric Approaches to Benchmarking the Regulated Firm

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Abstract

Rewarding regulated firms based on their relative performance requires benchmarks that reflect how performance is affected by regulation. This paper demonstrates how parametric and nonparametric efficiency measures can be employed to produce benchmarks that account for the effects of regulation. We apply measurement techniques to an eleven-year panel of 20 U.S. interstate natural gas transmission companies and use our benchmarking measures to distinguish firms that perform well owing to a superior management of technology from firms that perform well owing to the effective management of the regulatory mechanism.

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References

  • Aivazian, Varouj A., Jeffrey L. Callen, M. W. Luke Chan, and Dean C. Mountain. (1987). “Economies of Scale Versus Technological Change in the Natural Gas Transmission Industry.” Review of Economics and Statistics 69(3), 556–561.

    Google Scholar 

  • Atkinson, Scott E., and Robert Halvorsen (1984). “Parametric Efficiency Tests, Economies of Scale, and Input Demand in U.S. Electric Power Generation.” International Economic Review 25(3), 647–662.

    Google Scholar 

  • Banker, R. D., A. Charnes, and W. W. Cooper. (1984). “Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis.” Management Science 30(9), 1078–1092.

    Google Scholar 

  • Board of Governors of the Federal Reserve. (1980, 1983, 1984, 1989, 1991). Federal Reserve Bulletin. Washington DC: U.S. Government Printing Office.

    Google Scholar 

  • Callen, Jeffrey L. (1978). “Production, Efficiency, and Welfare in the Natural Gas Transmission Industry.” American Economic Review 68(3), 311–323.

    Google Scholar 

  • Charnes, A., W. W. Cooper, and E. Rhodes (1978). “Measuring the Efficiency of Decision Making Units.” European Journal of Operational Research 2(6), 429–444.

    Google Scholar 

  • Christensen, Laurits R., Dale W. Jorgenson, and Lawrence J. Lau. (1971). “Conjugate Duality and the Transcendental Logarithmic Production Function.” Econometrica 39(4), 255–256.

    Google Scholar 

  • Commerce Clearing House Inc. (1978, 1981, 1986, 1987). U.S. Master Tax Guide. Chicago: Commerce Clearing House Publishers, Editions: 61, 64, 69, 70.

    Google Scholar 

  • Färe, Rolf, Shawna Grosskopf, and C. A. Knox Lovell. (1994). Production Frontiers. New York: Cambridge University Press.

    Google Scholar 

  • Färe, Rolf, and James Logan (1992). “The Rate of Return Regulated Version of Farrell Efficiency.” International Journal of Production Economics 27(2), 161–165.

    Google Scholar 

  • Färe, Rolf, and James Logan (1986). “Regulation, Scale, and Productivity: A Comment.” International Economic Review 27(3), 777–780.

    Google Scholar 

  • Färe, Rolf, and James Logan (1983). “The Rate-of-Return Regulated Firm: Cost and Production Duality.” Bell Journal of Economics 14(2), 405–414.

    Google Scholar 

  • Farrell, M. J. (1957). “The Measurement of Productive Efficiency.” Journal of the Royal Statistical Society, Series A (General) 120(III), 253–281.

    Google Scholar 

  • Ferrier, Gary D. (1994). “Ownership Type Property Rights and Efficiency.” In A. Charnes, W. Cooper, and A. Lewin (eds.), Data Envelopment Analysis: Theory, Methodology, and Applications, Massachusetts: Kluwer Academic Publishers, 273–283.

    Google Scholar 

  • Fried, Harold O., C. A. Knox Lovell, and Shelton S. Schmidt. (1993). The Measurement of Productive Efficiency: Techniques and Applications. New York: Oxford University Press.

    Google Scholar 

  • Granderson, Gerald, and C. A. Knox Lovell (1998). “The Impact of Regulation on Input Substitution and Operating Cost.” Southern Economic Journal 65(1), 83–97.

    Google Scholar 

  • Hazilla, Michael and Raymond J. Kopp. (1986). “Systematic Effects of Capital Service Price Definition on Perceptions of Input Substitution.” Journal of Business and Economic Statistics 4(2), 209–224.

    Google Scholar 

  • Ibbotson, Roger C., and Rex A. Sinquefield (1989). Stocks, Bonds, Bills, and Inflation: Historical Returns (1926–1987). Virginia: Research Foundation of the Institute of Chartered Financial Analysts.

    Google Scholar 

  • Jorgenson, Dale W. (1963). “Capital Theory and Investment Behavior.” American Economic Review 53(2), 247–259.

    Google Scholar 

  • National Association of Regulatory Unility Commissioners. (1973–1988). Annual Report on Utility and Carrier Regulation. Washington DC: U.S. Government Printing Office.

    Google Scholar 

  • Natural Gas Supply Association. (1989). Financial Performance of Major U.S. Interstate Pipelines: 1979–1989. Washington DC.

  • Nelson, Randy A., and Mark E. Wohar. (1983). “Regulation, Scale Economies, and Productivity in Steam-Electric Generation.” International Economic Review 24(1), 57–78.

    Google Scholar 

  • Office of Oil and Gas, Energy Information Administration, U.S. Department of Energy. (1977–1987). Statistics of Interstate Natural Gas Pipeline Companies. Washington DC: U.S. Printing Government Office.

    Google Scholar 

  • Office of Pipeline and Producer Regulation, Federal Energy Regulatory Commission, U.S. Department of Energy. (various years). Cost of Pipeline and Compressor Station Construction Under Non-Budget Pipeline Certificate Authorization. Washington DC: U.S. Government Printing Office.

  • Office of Pipeline and Producer Regulation, Federal Energy Regulatory Commission, U.S. Department of Energy. (various years). Cost of Pipeline and Compressor Station Construction Under Natural Gas Act Section 7(c). Washington DC: U.S. Government Printing Office.

  • Petersen, H. Craig. (1976). “An Empirical Test of Regulatory Effects.” Bell Journal of Economics 6(1), 111–126.

    Google Scholar 

  • Schmidt, Peter and Robin C. Sickles. (1984). “Production Frontiers and Panel Data.” Journal of Business and Economic Statistics 2(4), 367–374.

    Google Scholar 

  • Shephard, RonaldW. (1970). Theory of Cost and Production Functions. New Jersey: Princeton University Press.

    Google Scholar 

  • Texas Eastern Transmission Corporation. (1991). Capitalization-Rate of Return Report. Texas: Texas Eastern Company Report.

    Google Scholar 

  • Value Line Publishing Inc. (1977–1987). Value Line Investment Survey. New York: Value Line Publishers.

    Google Scholar 

  • Zieschang, Kimberly D. (1983). “A Note on the Decomposition of Cost Efficiency into Technical and Allocative Components.” Journal of Econometrics 23(3), 401–405.

    Google Scholar 

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Granderson, G., Linvill, C. Parametric and Nonparametric Approaches to Benchmarking the Regulated Firm. Journal of Productivity Analysis 12, 211–231 (1999). https://doi.org/10.1023/A:1007896105843

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