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The Operational Impacts of Governmental Restructuring of the Airline Industry in China

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  • Scheraga, Carl A.

Abstract

In July 2000, the Civil Aviation Administration of China (CAAC) called for the consolidation of the 10 state-owned air carriers into three groups, headed by Air China, China Eastern, and China Southern. A few months later in November 2000, the State Council of China mandated that this consolidation be accomplished by the third quarter of 2001. As part of this mandate, the CAAC yielded its management control of air carriers with its focus now being on safety and regulatory issues. Furthermore, the CAAC was required to divest itself of assets held in many of the state-owned airlines and its interests in more than 120 airports around China, except Beijing Capital Airport. Utilizing data from the International Civil Aviation Organization for 2003 and 2004, this study investigates the operational impacts of this industry restructuring. The relative operational efficiency of Air China, China Eastern, and China Southern is compared to a sample of Asian, European and United States flag carriers. Data envelopment analysis is utilized to derive efficiency scores for individual airlines. The operational efficiency model used in this study is derived from that utilized by Schefczyk (1993). The underlying structural drivers of efficiency are then investigated via a tobit analysis with implications for managerial policy discussed.

Suggested Citation

  • Scheraga, Carl A., 2006. "The Operational Impacts of Governmental Restructuring of the Airline Industry in China," Journal of the Transportation Research Forum, Transportation Research Forum, vol. 45(1).
    • Handle: RePEc:ags:ndjtrf:206782
    DOI: 10.22004/ag.econ.206782
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    1. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    2. Caves, Douglas W & Christensen, Laurits R & Tretheway, Michael W, 1983. "Productivity Performance of U.S. Trunk and Local Service Airlines in the Era of Deregulation," Economic Inquiry, Western Economic Association International, vol. 21(3), pages 312-324, July.
    3. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    4. Douglas W. Caves & Laurits R. Christensen & Michael W. Tretheway, 1984. "Economies of Density versus Economies of Scale: Why Trunk and Local Service Airline Costs Differ," RAND Journal of Economics, The RAND Corporation, vol. 15(4), pages 471-489, Winter.
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    Cited by:

    1. Greer, Mark, 2009. "Is it the labor unions' fault? Dissecting the causes of the impaired technical efficiencies of the legacy carriers in the United States," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(9-10), pages 779-789, November.
    2. Greer, Mark R., 2008. "Nothing focuses the mind on productivity quite like the fear of liquidation: Changes in airline productivity in the United States, 2000-2004," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(2), pages 414-426, February.

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