Abstract
Do political connections affect bank efficiency during crises? This study addresses this question by adopting a two-stage approach that performs a quantile regression analysis on a unique dataset of listed banks in a region that has witnessed both financial and political crises, namely the Middle East and North Africa. Our results show that political connections are a driving force behind bank inefficiency. We find that the least efficient banks have the most significant association with political connections, thus supporting the bailout theory. We also find that political connections influenced the efficiency of banks during the financial crisis, but not during the regional political crisis. Our results provide new evidence on the applicability of established political connection theories during political turmoil.
| Original language | English |
|---|---|
| Pages (from-to) | 602-625 |
| Number of pages | 24 |
| Journal | International Journal of Finance and Economics |
| Volume | 30 |
| Issue number | 1 |
| Early online date | 23 Jan 2024 |
| DOIs | |
| Publication status | Published - Jan 2025 |
Bibliographical note
This is an Open Access article distributed under the terms of the CreativeCommons Attribution License (http://creativecommons.org/licenses/by/4.0/),
which permits unrestricted use, distribution, and reproduction in any medium,
provided the original work is properly cited.
Funding
All our authors are grateful to Antonios Chantziaras for excellent research assistance. Emili Tortosa\u2010Ausina acknowledges financial support by MCIN/AEI/10.13039/501100011033 (Ministerio de Ciencia e Innovaci\u00F3n, PID2020\u2010115450GB\u2010I00), Generalitat Valenciana (CIPROM/2022/50) and Universitat Jaume I (UJI\u2010B2020\u201027). We also thank Syed Aun Raza Rizvi, Mohamed Shaban and, more particularly, two anonymous reviewers, whose comments and suggestions have contributed to an overall improvement of the article. The usual disclaimer applies.
Keywords
- banks
- efficiency
- crisis
- political connections
- data envelopment
- quantile regression
- data envelopment analysis