Approccio stocastico alla frontiera efficiente del sistema bancario italiano: caratteristiche delle banche e inefficenza tecnica
AbstractA Stochastic Approach to the Efficient Frontier of the Italian Banking Sector: Bank’s Characteristics and Technical Inefficiency (di Rita De Siano) - ABSTRACT: During the 1990s the Italian banking sector experienced a considerable evolution due, first of all, by the accelerating process of monetary and financial integration among the countries joining the European Union. The deep modernization of the credit law contributed to the concentration process and to increase the role played by technical efficiency in valuating banking performance. The aim of this study is to measure the influence of strategic behaviour on banking efficiency over a sample of 551 firms which shows all the peculiarities of the Italian credit sector. The analysis is based on the costrunction of a stochastic cost function in the form of a Translog, considered to be the best in modelling the frontier of an efficient multi-product firm. We followed the intermediation approach which allowed us to emphasize interesting differences of technical inefficiency and to indicate the firm characteristics most important for these differences.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Bibliographic InfoArticle provided by FrancoAngeli Editore in its journal STUDI ECONOMICI.
Volume (Year): 2003/81 (2003)
Issue (Month): 81 ()
Contact details of provider:
Web page: http://www.francoangeli.it/riviste/sommario.asp?IDRivista=59
You can help add them by filling out this form.
reading list or among the top items on IDEAS.Access and download statisticsgeneral 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: (Angelo Ventriglia).
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 references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link 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 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.