The effect of NPLs management in the PIIGS banking efficiency: an approach using non-parametric partial order-m frontiers

Abstract

Purpose

This study focuses on the banking systems evaluation in Portugal, Italy, Ireland, Greece and Spain (known as the PIIGS) during the financial and post-financial crisis period from 2009 to 2018.

Design/methodology/approach

A conditional robust nonparametric frontier analysis (order-m estimators) is used to measure banking efficiency combined with variables highlighting the effects of Non-Performing Loans. Next, a truncated regression is used to examine if institutional, macroeconomic, and financial variables affect bank performance differently. Unlike earlier studies, we use the Corruption Perception Index (CPI) as an institutional variable that affects banking sector efficiency.

Findings

This research shows that the PIIGS crisis affects each bank/country differently due to their various efficiency levels. Most of the study variables — CPI, government debt to GDP ratio, inflation, bank size — significantly affect banking efficiency measures.

Originality/value

The contribution of this article to the relevant banking literature is two-fold. First, it analyses the efficiency of the PIIGS banking system from 2009 to 2018, focusing on NPLs. Second, this is the first empirical study to use probabilistic frontier analysis (order-m estimators) to evaluate PIIGS banking systems.

Citation

Chalampalakis, E.G., Dokas, I. and Spyromitros, E. (2024), "The effect of NPLs management in the PIIGS banking efficiency: an approach using non-parametric partial order-m frontiers", Journal of Economic Studies, Vol. 51 No. 3, pp. 692-711. https://doi.org/10.1108/JES-12-2022-0678