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Technical and Allocative Efficiency in Spanish Port Cargo Handling Firms

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  • Rodríguez-Álvarez, Ana
  • Tovar de la Fe, Beatriz
  • Trujillo, Lourdes

Abstract

Atkinson and Cornwell (1994) present two methods that permit the calculation of allocative inefficiency: the parametric approach and the error component approach. Färe an Grosskopf (1990) and Atkinson and Primont (2002) demonstrate that replacing the usual cost frontier with an input distance function can overcome the main drawbacks of the first approach by obtaining firm and time indexes of allocative efficiency. With regard to the second approach, the advantages of the distance function are developed in Rodríguez-Álvarez et al. (2004) which have dealt with the hypothesis in which the allocative efficiency is time-invariant and only varies across firms. In this paper we extend the analysis in the case in which the efficiency is firm and time-varying in both approaches. Moreover, we can calculate firm and time-varying technical efficiency and, separately, a measure of technical change. To do this, we present a distance system that is comprised of an input distance function and the share cost equations associated. We apply our methodology to a panel data using a sample of cargo handling firms in Spanish ports.

Suggested Citation

  • Rodríguez-Álvarez, Ana & Tovar de la Fe, Beatriz & Trujillo, Lourdes, 2004. "Technical and Allocative Efficiency in Spanish Port Cargo Handling Firms," Efficiency Series Papers 2004/04, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    • Handle: RePEc:oeg:wpaper:2004/04
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    References listed on IDEAS

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    1. Atkinson, Scott E & Cornwell, Christopher, 1994. "Parametric Estimation of Technical and Allocative Inefficiency with Panel Data," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 35(1), pages 231-243, February.
    2. Estache, Antonio & Gonzalez, Marianela & Trujillo, Lourdes, 2002. "Efficiency Gains from Port Reform and the Potential for Yardstick Competition: Lessons from Mexico," World Development, Elsevier, vol. 30(4), pages 545-560, April.
    3. Kumbhakar, Subal C., 1990. "Production frontiers, panel data, and time-varying technical inefficiency," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 201-211.
    4. Fried, Harold O. & Lovell, C. A. Knox & Schmidt, Shelton S. (ed.), 1993. "The Measurement of Productive Efficiency: Techniques and Applications," OUP Catalogue, Oxford University Press, number 9780195072181.
    5. Rafael Cuesta, 2000. "A Production Model With Firm-Specific Temporal Variation in Technical Inefficiency: With Application to Spanish Dairy Farms," Journal of Productivity Analysis, Springer, vol. 13(2), pages 139-158, March.
    6. Heshmati, Almas & Kumbhakar, Subal C. & Hjalmarsson, Lennart, 1995. "Efficiency of the Swedish pork industry: A farm level study using rotating panel data 1976-1988," European Journal of Operational Research, Elsevier, vol. 80(3), pages 519-533, February.
    7. Atkinson, Scott E. & Primont, Daniel, 2002. "Stochastic estimation of firm technology, inefficiency, and productivity growth using shadow cost and distance functions," Journal of Econometrics, Elsevier, vol. 108(2), pages 203-225, June.
    8. Ana Rodríguez‐Álvarez & C. A. Knox Lovell, 2004. "Excess capacity and expense preference behaviour in National Health Systems: an application to the Spanish public hospitals," Health Economics, John Wiley & Sons, Ltd., vol. 13(2), pages 157-169, February.
    9. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
    10. Fare, Rolf & Grosskopf, Shawna, 1995. "Nonparametric tests of regularity, Farrell efficiency, and goodness-of-fit," Journal of Econometrics, Elsevier, vol. 69(2), pages 415-425, October.
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