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Short-run Total Cost Change and Productivity of US Class I Railroads

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  • Siew Hoon Lim
  • C. A. Knox Lovell

Abstract

This paper examines how productivity changes contribute to short-run cost variations over time and across railroads. Using an unbalanced panel of US Class I railroad data for the period 1996-2003, decomposition models were used to attribute intertemporal and multilateral cost variations to their causal factors. We find that (i) railroads were able to reduce their physical capitals in recent years; (ii) railroads experienced technical progress over time, but they were technically and allocatively inefficient in some time periods; and (iii) the benchmarking railroads could learn from the low-cost and cost-efficient benchmark when it comes to cost savings. © 2008 LSE and the University of Bath

Suggested Citation

  • Siew Hoon Lim & C. A. Knox Lovell, 2008. "Short-run Total Cost Change and Productivity of US Class I Railroads," Journal of Transport Economics and Policy, University of Bath, vol. 42(1), pages 155-188, January.
    • Handle: RePEc:tpe:jtecpo:v:42:y:2008:i:1:p:155-188
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    Cited by:

    1. Molinos-Senante, María & Maziotis, Alexandros & Sala-Garrido, Ramón, 2020. "Changes in the total costs of the English and Welsh water and sewerage industry: The decomposed effect of price and quantity inputs on efficiency," Utilities Policy, Elsevier, vol. 66(C).
    2. Ana María Reyna & Hugo J. Fuentes, 2018. "A cost efficiency analysis of the insurance industry in Mexico," Journal of Productivity Analysis, Springer, vol. 49(1), pages 49-64, February.
    3. Fuentes-Castro, Hugo Javier. & Reyna-Bernal, Ana María., 2014. "Comparando con las grandes. Retos para las aseguradoras en reducción de costos," Panorama Económico, Escuela Superior de Economía, Instituto Politécnico Nacional, vol. 0(19), pages 7-32, segundo s.
    4. Kwon, He-Boong, 2017. "Exploring the predictive potential of artificial neural networks in conjunction with DEA in railroad performance modeling," International Journal of Production Economics, Elsevier, vol. 183(PA), pages 159-170.
    5. Siew Hoon Lim & C.A. Knox Lovell, 2009. "Profit and productivity of US Class I railroads," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 30(7), pages 423-442.

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