EFFICIENCY IN COOPERATIVE BANKS AND SAVINGS BANKS: A STOCHASTIC FRONTIER APPROACH
Cristi Spulbar (),
Mihai Nitoi () and
Lucian Anghel ()
Additional contact information
Mihai Nitoi: Department of Finance, University of Craiova.
Lucian Anghel: College of Management, National University of Political Studies and Public Administration.
Journal for Economic Forecasting, 2015, issue 1, 5-21
Abstract:
In this article, we used a stochastic frontier model to estimate the cost efficiency of cooperative banks and savings banks from nine countries over the period 2005 to 2011. In addition, we analyzed the influence of certain variables that quantify the risk and performance of cooperative banks and savings banks on the level of inefficiency. We found that both the cooperative banks from Switzerland and the savings banks from Norway and Sweden have a high level of cost efficiency. With regard to the variables that influence the inefficiency level, the results showed that a higher risk implies the growth of this level, while an increase in performance leads to a decrease in inefficiency. The results showed that a higher rate of the Gross Domestic Product (GDP) growth implies an increase in the inefficiency level. Smaller cooperative and savings banks are more efficient in managing costs compared to larger banks. We interpreted this result as being a consequence of the advantages from which this institutions benefit within the groups to which they belong.
Keywords: cooperative banks; savings banks; cost efficiency; risk-taking; bank performance (search for similar items in EconPapers)
JEL-codes: C30 G21 G32 (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)
Downloads: (external link)
http://www.ipe.ro/rjef/rjef1_15/rjef1_2015p5-21.pdf
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:rjr:romjef:v::y:2015:i:1:p:5-21
Access Statistics for this article
Journal for Economic Forecasting is currently edited by Lucian Liviu Albu and Corina Saman
More articles in Journal for Economic Forecasting from Institute for Economic Forecasting Contact information at EDIRC.
Bibliographic data for series maintained by Corina Saman ( this e-mail address is bad, please contact ).