IDEAS home Printed from
   My bibliography  Save this article

Un estudio no paramétrico de eficiencia para la minería de Zacatecas, México || A Non-Parametric Approach to Efficiency for Mining in Zacatecas, Mexico


  • Benita Maldonado, Francisco J.

    (División de Estudios de Posgrado, Facultad de Economía. Universidad Autónoma de Nuevo León)

  • Gaytán Alfaro, Edgar D.

    () (Instituto de Investigaciones Económicas y Sociales. Universidad Autónoma de Zacatecas)

  • Rodallegas Portillo, Mayra C.

    () (Universidad Autónoma de Coahuila)


La intención de este trabajo es abordar el sector minero en el estado de Zacatecas bajo la técnica del análisis envolvente de datos para construir indicadores de eficiencia en los años 1998, 2003 y 2008. Se realiza un análisis entre entidades federativas para comparar el desempeño a nivel nacional; asimismo, se efectúa un estudio comparativo entre tipos específicos de producción minera. El artículo constituye una fuente de información significativa sobre el desempeño de la industria minera en la entidad, pudiendo identificar los productos del estado que son susceptibles de mejora técnica mediante las clases de actividad ineficientes. || The aim of the paper is to use the data envelopment analysis (DEA) for mining in Zacatecas and provide efficiency indicators in the years 1998, 2003, and 2008. We compare the performance of the state of Zacatecas with other mining states in Mexico. Then the empirical analysis extends to specific mining. The study is an important source of information about mining behavior. By using the national industries level, it was possible to identify the products that are susceptible of improvement.

Suggested Citation

  • Benita Maldonado, Francisco J. & Gaytán Alfaro, Edgar D. & Rodallegas Portillo, Mayra C., 2012. "Un estudio no paramétrico de eficiencia para la minería de Zacatecas, México || A Non-Parametric Approach to Efficiency for Mining in Zacatecas, Mexico," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 14(1), pages 54-75, December.
  • Handle: RePEc:pab:rmcpee:v:14:y:2012:i:1:p:54-75

    Download full text from publisher

    File URL:
    Download Restriction: no

    File URL:
    Download Restriction: no

    References listed on IDEAS

    1. Rajiv D. Banker & Robert F. Conrad & Robert P. Strauss, 1986. "A Comparative Application of Data Envelopment Analysis and Translog Methods: An Illustrative Study of Hospital Production," Management Science, INFORMS, vol. 32(1), pages 30-44, January.
    2. Krugman, Paul, 1991. "Increasing Returns and Economic Geography," Journal of Political Economy, University of Chicago Press, vol. 99(3), pages 483-499, June.
    3. Good, David H. & Roller, Lars-Hendrik & Sickles, Robin C., 1995. "Airline efficiency differences between Europe and the US: Implications for the pace of EC integration and domestic regulation," European Journal of Operational Research, Elsevier, vol. 80(3), pages 508-518, February.
    4. Vernon Topp & Leo Soames & Dean Parham & Harry Bloch, 2008. "Productivity in the Mining Industry: Measurement and Interpretation," Staff Working Papers 0807, Productivity Commission, Government of Australia.
    5. A. Charnes & W. W. Cooper & E. Rhodes, 1981. "Evaluating Program and Managerial Efficiency: An Application of Data Envelopment Analysis to Program Follow Through," Management Science, INFORMS, vol. 27(6), pages 668-697, June.
    6. Veronique Distexhe & Sergio Perelman, 1994. "Technical Efficiency and Productivity Growth in an Era of Deregulation: the Case of Airlines," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 130(IV), pages 669-689, December.
    Full references (including those not matched with items on IDEAS)

    More about this item


    análisis regional; minería; análisis envolvente de datos (DEA); regional analysis; mining; data envelopment analysis;

    JEL classification:

    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • R15 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Econometric and Input-Output Models; Other Methods
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis


    Access and download statistics


    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pab:rmcpee:v:14:y:2012:i:1:p:54-75. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Publicación Digital - UPO). General contact details of provider: .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.