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Productivity and efficiency with discrete variables and quadratic cost function

Author Info

Listed author(s):
  • Martinez-Budria, Eduardo
  • Diaz-Hernandez, Juan Jose
  • Jara-Däaz, Sergio
Registered author(s):

    Abstract

    We propose an index of productivity based on a quadratic cost function and developed for discrete data including technical and allocative inefficiency, jointly with technical change and returns to scale, as determinants of Total Factor Productivity. This new index is applied to Spanish stevedoring industry so as to identify the sources of change in the productivity of a multiproductive activity, where some companies do not produce some of the outputs. In this context, the functional quadratic form and the productivity index proposed prove particularly useful.

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    File URL: http://www.sciencedirect.com/science/article/pii/S0925527311001903
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    Article provided by Elsevier in its journal International Journal of Production Economics.

    Volume (Year): 132 (2011)
    Issue (Month): 2 (August)
    Pages: 251-257

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    Handle: RePEc:eee:proeco:v:132:y:2011:i:2:p:251-257
    Contact details of provider: Web page: http://www.elsevier.com/locate/ijpe

    Keywords: Productivity Quadratic cost function Inefficiency Discrete data;

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    1. E. Martínez-Budría & S. Jara-Díaz & F. Ramos-Real, 2003. "Adapting Productivity Theory to the Quadratic Cost Function. An Application to the Spanish Electric Sector," Journal of Productivity Analysis, Springer, vol. 20(2), pages 213-229, September.
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    3. Rodriguez-Alvarez, Ana & Tovar, Beatriz & Trujillo, Lourdes, 2007. "Firm and time varying technical and allocative efficiency: An application to port cargo handling firms," International Journal of Production Economics, Elsevier, vol. 109(1-2), pages 149-161, September.
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    8. Tsekouras, Kostas D. & Pantzios, Christos J. & Karagiannis, Giannis, 2004. "Malmquist productivity index estimation with zero-value variables: The case of Greek prefectural training councils," International Journal of Production Economics, Elsevier, vol. 89(1), pages 95-106, May.
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    10. Murillo-Zamorano, Luis R. & Vega-Cervera, Juan A., 2001. "The use of parametric and non-parametric frontier methods to measure the productive efficiency in the industrial sector: A comparative study," International Journal of Production Economics, Elsevier, vol. 69(3), pages 265-275, February.
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    13. Sergio Jara-Diaz & Beatriz Tovar & Lourdes Trujillo, 2008. "On the proper modelling of multioutput port cargo handling costs," Applied Economics, Taylor & Francis Journals, vol. 40(13), pages 1699-1705.
    14. Juan Díaz-Hernández & Eduardo Martínez-Budría & Sergio Jara-Diaz, 2008. "Parametric estimation of inefficiency in cargo handling in Spanish ports," Journal of Productivity Analysis, Springer, vol. 30(3), pages 223-232, December.
    15. Atkinson, Scott E & Cornwell, Christopher, 1994. "Estimation of Output and Input Technical Efficiency Using a Flexible Form and 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 245-255, February.
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    Cited by:

    1. Gugler, Klaus & Liebensteiner, Mario, 2016. "Productivity Growth and the General X-factor in Austria´s Gas Distribution," Department of Economics Working Paper Series 5221, WU Vienna University of Economics and Business.

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