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A cost function for the natural gas transmission industry: further considerations

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  • Massol, O.

Abstract

This article studies the cost function for the natural gas transmission industry. In addition to a tribute to H.B. Chenery, it firstly offers some further comments on a recent contribution (Yépez, 2008): a statistical characterization of long-run scale economies, and a simple reformulation of the long-run problem. An extension is then proposed to analyze how the presence of seasonally-varying flows modifies the optimal design of a transmission infrastructure. Lastly, the case of a firm that anticipates a possible random rise in its future output is also studied to discuss the optimal degree of excess capacity to be built into a new transmission infrastructure.

Suggested Citation

  • Massol, O., 2011. "A cost function for the natural gas transmission industry: further considerations," Working Papers 11/03, Department of Economics, City University London.
    • Handle: RePEc:cty:dpaper:11/03
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    File URL: https://openaccess.city.ac.uk/id/eprint/1464/1/A_cost_function_for_the_natural_gas_transmission_industry.pdf
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    References listed on IDEAS

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    1. James M. Griffin, 1977. "Long-Run Production Modeling with Pseudo Data: Electric Power Generation," Bell Journal of Economics, The RAND Corporation, vol. 8(1), pages 112-127, Spring.
    2. Hanan Luss, 1982. "Operations Research and Capacity Expansion Problems: A Survey," Operations Research, INFORMS, vol. 30(5), pages 907-947, October.
    3. Griffin, James M, 1978. "Joint Production Technology: The Case of Petrochemicals," Econometrica, Econometric Society, vol. 46(2), pages 379-396, March.
    4. Axel Pierru, 2007. "Short-run and long-run marginal costs of joint products in linear programming," Recherches économiques de Louvain, De Boeck Université, vol. 73(2), pages 153-171.
    5. Hollis B. Chenery, 1949. "Engineering Production Functions," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 63(4), pages 507-531.
    6. De Wolf, D. & Smeers, Y., 1996. "Optimal dimensioning of pipe networks with application to gas transmission networks," LIDAM Reprints CORE 1249, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    7. Kabirian, Alireza & Hemmati, Mohammad Reza, 2007. "A strategic planning model for natural gas transmission networks," Energy Policy, Elsevier, vol. 35(11), pages 5656-5670, November.
    8. Andre, Jean & Bonnans, Frédéric & Cornibert, Laurent, 2009. "Optimization of capacity expansion planning for gas transportation networks," European Journal of Operational Research, Elsevier, vol. 197(3), pages 1019-1027, September.
    9. James M. Griffin, 1979. "Statistical Cost Analysis Revisited," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 93(1), pages 107-129.
    10. DE WOLF, Daniel & SMEERS, Yves, 2000. "The gas transmission problem solved by an extension of the simplex algorithm," LIDAM Reprints CORE 1489, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    11. Russell G. Thompson & Michael S. Proctor & R. R. Hocking, 1972. "Investment-Borrowing Decisions in Natural Gas Transmission," Management Science, INFORMS, vol. 18(10), pages 544-554, June.
    12. Vernon L. Smith, 1959. "The Theory of Investment and Production," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 73(1), pages 61-87.
    13. Jean-Jacques Laffont & Jean Tirole, 1993. "A Theory of Incentives in Procurement and Regulation," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262121743, December.
    14. Daniel de Wolf & Yves Smeers, 1996. "Optimal Dimensioning of Pipe Networks with Application to Gas Transmission Networks," Operations Research, INFORMS, vol. 44(4), pages 596-608, August.
    15. Callen, Jeffrey L, 1978. "Production, Efficiency, and Welfare in the Natural Gas Transmission Industry," American Economic Review, American Economic Association, vol. 68(3), pages 311-323, June.
    16. Daniel De Wolf & Yves Smeers, 2000. "The Gas Transmission Problem Solved by an Extension of the Simplex Algorithm," Management Science, INFORMS, vol. 46(11), pages 1454-1465, November.
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    Cited by:

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    2. Olivier Massol & Albert Banal-Estañol, 2014. "Market power across the Channel: Are Continental European gas markets isolated ?," Working Papers hal-02475017, HAL.
    3. Massol, Olivier & Tchung-Ming, Stéphane & Banal-Estañol, Albert, 2015. "Joining the CCS club! The economics of CO2 pipeline projects," European Journal of Operational Research, Elsevier, vol. 247(1), pages 259-275.
    4. Perrotton, Florian & Massol, Olivier, 2020. "Rate-of-return regulation to unlock natural gas pipeline deployment: Insights from a Mozambican project," Energy Economics, Elsevier, vol. 85(C).
    5. Waidelich, Paul & Haug, Tomas & Wieshammer, Lorenz, 2022. "German efficiency gone wrong: Unintended incentives arising from the gas TSOs’ benchmarking," Energy Policy, Elsevier, vol. 160(C).
    6. Massol, O. & Tchung-Ming, S., 2012. "Joining the CCS Club! Insights from a Northwest European CO2 Pipeline Project," Working Papers 12/10, Department of Economics, City University London.
    7. Adrien Nicolle & Diego Cedreros & Olivier Massol & Emma Jagu Schippers, 2023. "Modeling CO2 Pipeline Systems : An Analytical Lens for CCS Regulation," Working Papers hal-04087681, HAL.
    8. Olivier Massol & Albert Banal-Estañol, 2017. "Market Power and Spatial Arbitrage beween Interconnected Gas Hubs," Working Papers hal-03186965, HAL.

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