Liberalization, bankers’ motivation and productivity: A simple model with an application

C-Tier
Journal: Economic Modeling
Year: 2017
Volume: 61
Issue: C
Pages: 102-112

Authors (3)

Luintel, Kul B. (Cardiff University) Selim, Sheikh (not in RePEc) Bajracharya, Pushkar (not in RePEc)

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

Proponents of financial liberalization argue that deregulation motivates bankers to increase their effort and operate at a higher level of efficiency and productivity. Sceptics, however, see that liberalization engenders economic instability and banking crises, and impedes growth. Bank efficiency and productivity, following liberalization, is extensively examined. Nonetheless, the core issue of bankers’ self-motivation remains implicitly assumed and unaddressed. Does liberalization self-motivate bankers and increase their efforts and productivity? This paper models bank productivity from this perspective and evaluates what proportion of banks’ total factor productivity is accounted for by the self-motivated productivity of bankers. We provide a micro-founded framework for the analyses of bankers’ optimal level of effort and effort-driven productivity. Our model also captures banks’ unit input-output prices, optimal wages, bank spread and the overall cost of bank services – measures that are important in evaluating reform policies. We assess the financial liberalization of Nepal as a test case and find that (i) bankers’ efforts and productivity have notably improved in Nepal, although banking services have become costly, and (ii) bank spread has moderately declined in recent years. Our approach is parametric which differs from DEA, hence complements the literature. We hope this analytical framework will be useful to evaluate reform episodes elsewhere.

Technical Details

RePEc Handle
repec:eee:ecmode:v:61:y:2017:i:c:p:102-112
Journal Field
General
Author Count
3
Added to Database
2026-01-25