IDEAS home Printed from https://ideas.repec.org/a/nov/artigo/v23y2013i3p555-578.html
   My bibliography  Save this article

A análise da eficiência no setor bancário: modelo de fronteira estocástica com dados em painel para a banca portuguesa [Analyzing the efficiency of the banking sector: A stochastic frontier model with panel data for the Portuguese market]

Author

Listed:
  • Francisco Vitorino da Silva Martins
  • Maria Clara Dias Pinto Ribeiro

    (CECEJ/ISCAP)

Abstract

This study addresses the productive efficiency regarding the banking costs, stressing its focus on the Portuguese banking market. This study follows the intermediation option concerning the conceptualization of the banking firm. The financial and operating costs are both considered in the efficiency analysis. The costspecification used is the Fourier functional form because of the multiproduct nature of the banking firm. The sample covers nearly all the Portuguese banks with non-consolidated panel data. The study of inefficiency is elaborated through the stochastic frontier model. The inefficiency rate is estimated on about 4%. Summing up, the yet unfinished concentration process of the Portuguese Banking Industry seems to be justified by the possibility of shrinkage of the X-inefficiency.

Suggested Citation

  • Francisco Vitorino da Silva Martins & Maria Clara Dias Pinto Ribeiro, 2013. "A análise da eficiência no setor bancário: modelo de fronteira estocástica com dados em painel para a banca portuguesa [Analyzing the efficiency of the banking sector: A stochastic frontier model with," Nova Economia, Economics Department, Universidade Federal de Minas Gerais (Brazil), vol. 23(3), pages 555-578, September.
    • Handle: RePEc:nov:artigo:v:23:y:2013:i:3:p:555-578
    as

    Download full text from publisher

    File URL: http://www.scielo.br/scielo.php?script=sci_pdf&pid=S0103-63512013000300003&lng=pt&nrm=iso&tlng=pt
    Download Restriction: no
    File URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-63512013000300003&lng=pt&nrm=iso&tlng=pt
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    banking industry; cost function; X-inefficiency; stochastic cost frontier; panel data analysis;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • D2 - Microeconomics - - Production and Organizations
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

    Statistics

    Access and download statistics

    Corrections

    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:nov:artigo:v:23:y:2013:i:3:p:555-578. See general information about how to correct material in RePEc.

    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.

    We have no bibliographic references for this item. You can help adding them by using 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Lucas Resende de Carvalho (email available below). General contact details of provider: https://edirc.repec.org/data/fufmgbr.html .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.