Re-visiting traditional trust measurement: using artefactual field experiments to measure trust and predict micro-lending decisions
ISSN: 0002-1466
Article publication date: 10 August 2020
Issue publication date: 21 January 2021
Abstract
Purpose
The purpose of this work is to experimentally measure trust and study its relationship to group loan allocation within a community bank.
Design/methodology/approach
An artefactual field experiment is run to capture a measure of trust that mimics aspects of trusting behavior in a community bank. The experimental design and empirical setting take into account risk and altruism, two known confounders of trust measures. Regression analysis is used to estimate the relationship between a novel measure of trust and the loan amount a borrower receives from their rural community bank.
Findings
The trust measure has a statistically significant, positive relationship with loan size. A one standard deviation increase in the trust measure corresponds to a 13.3 percent increase in the loan amount.
Social implications
Results of the study suggest that, for community banks, trust in a borrower plays a large role in screening applicants and therefore determining loan size. Several such banks have considered graduating to commercial credit. However, given the outsize role of trust in lending decisions, it is not clear if commercial lending models – which rely less on social capital – will work.
Originality/value
A new trust game is developed that captures relationship-specific measures of directed trust that community bank members have towards each borrower. The trust measure is also context-specific as play in the game is analogous to how community bank members trust some borrowers (more than others) with larger loans. The emphasis on relationship- and context-specific trust measures is key to interpreting results from artefactual field experiments.
Keywords
Citation
Buck, S., Kusunose, Y. and Alwang, J. (2021), "Re-visiting traditional trust measurement: using artefactual field experiments to measure trust and predict micro-lending decisions", Agricultural Finance Review, Vol. 81 No. 1, pp. 132-150. https://doi.org/10.1108/AFR-09-2019-0104
Publisher
:Emerald Publishing Limited
Copyright © 2020, Emerald Publishing Limited