Pre-recession efficiencies and input allocation decisions of agricultural and critically insolvent banks

C-Tier
Journal: Applied Economics
Year: 2018
Volume: 50
Issue: 32
Pages: 3515-3531

Authors (3)

Xiaofei Li (not in RePEc) Brady Brewer (not in RePEc) Cesar Escalante (University of Georgia)

Score contribution per author:

0.335 = (α=2.01 / 3 authors) × 0.5x C-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

The late 2000s’ economic recession is considered the longest economic downturn since the 1930s Great Depression. Declining real estate values ignited an increase in loan defaults and mortgage foreclosures that led to a surge of bank failures at a rate not experienced by the U.S. banking industry since the 1980s. A total of 509 bank failures were recorded by the FDIC from January 2007–December 2014, with nearly 60% of these failures occurring in 2009 and 2010. In contrast, there were only 24 bank failures in the U.S. during the 7-year period prior to 2007. This study analyzed certain components of operating decisions made by banks that either survived or became critically insolvent during the late 2000s financial crisis using an Input Distance Stochastic Frontier function to estimate the technical efficiency (TE) and allocative efficiency (AE) between agricultural banks and non-agricultural banks. This efficiency analysis was applied to a 7-year pre-recession period and is designed to final out any early warning signals that decrease the efficiency level of banks. Results suggest that survival banks were more technically efficient than critically insolvent banks, and banks’ tendency to utilize cheaper inputs were more likely to stand the economic crisis.

Technical Details

RePEc Handle
repec:taf:applec:v:50:y:2018:i:32:p:3515-3531
Journal Field
General
Author Count
3
Added to Database
2026-01-25