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The mining industry in Mexico: Performance patterns and determinants of efficiency

Author

Listed:
  • Edgar David Gaytán Alfaro

    (Universidad Autónoma de Zacatecas)

  • Francisco Benita

    (ITESM (Tec de Monterrey))

Abstract

The purpose of this paper is to quantify and analyze the technical efficiency levels in Mexico's non-oil mining industry. We use Data Envelopment Analysis (DEA) and a panel data econometric model in order to explore the determinants of mining efficiency, considering the Regional Economic Theory approach. The results show the consistency between the patterns of localization, specialization and productive infrastructure as explanatory factors of efficiency. These constitute a reference point to explain the specific factors to improve in order to raise the efficiency levels in the use of the different minerals studied.

Suggested Citation

  • Edgar David Gaytán Alfaro & Francisco Benita, 2014. "The mining industry in Mexico: Performance patterns and determinants of efficiency," Lecturas de Economía, Universidad de Antioquia, Departamento de Economía, issue 80, pages 103-131, Enero-Jun.
    • Handle: RePEc:lde:journl:y:2014:i:80:p:103-131
    DOI: 10.17533/udea.le.n80a4
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    More about this item

    Keywords

    data envelopment analysis; mining; Mexico; regional analysis;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • L71 - Industrial Organization - - Industry Studies: Primary Products and Construction - - - Mining, Extraction, and Refining: Hydrocarbon Fuels

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