To read this content please select one of the options below:

Modeling the impact of distance between offices and borrowers on agricultural loan volume

Taylor Witte (Department of Agricultural Economics, Oklahoma State University, Stillwater, Oklahoma, United States.)
Eric A DeVuyst (Department of Agricultural Economics, Oklahoma State University, Stillwater, Oklahoma, United States.)
Brian Whitacre (Department of Agricultural Economics, Oklahoma State University, Stillwater, Oklahoma, United States.)
Rodney Jones (Department of Agricultural Economics, Oklahoma State University, Stillwater, Oklahoma, United States.)

Agricultural Finance Review

ISSN: 0002-1466

Article publication date: 2 November 2015

2739

Abstract

Purpose

Farm Credit is a major provider of credit to agricultural producers in Oklahoma and nationally. The decision to place a new Farm Credit office reduces borrower search and travel costs and should increase loan volume. The purpose of this paper is to model the new loan volume as function of distance from east central Oklahoma county centroids to Farm Credit offices. The model is then used to predict the impact of placing new offices in underserved areas.

Design/methodology/approach

County aggregate new loan volume is regressed on distances to Farm Credit branch and field offices and other variables expected to impact agricultural loan volume. The estimated model is used to predict new loan volume impact of adding additional branch and field offices in counties that did not have these offices. Confidence intervals are used to measure the significance of predicted loan volumes.

Findings

Distances from county centroids to both branch and field offices were found to significantly reduce new loan volume. The results were used to simulate the addition of new branch and field offices. The simulation predicted the added annual new loan volume associated with office additions.

Practical implications

Using spatial models, Farm Credit of east central Oklahoma and other agricultural lenders can better plan for expansion (or consolidation). These models indicate counties where annual new loan volume will likely be higher (or lower for consolidation) than other nearby counties. The result can be improved borrower access and system financial performance.

Originality/value

While spatial modeling has been utilized in other sectors, little has been done relative to agricultural credit access and impact on loan volume. The model here explicitly models the impact that distance to Farm Credit offices have on annual new loan volume.

Keywords

Citation

Witte, T., DeVuyst, E.A., Whitacre, B. and Jones, R. (2015), "Modeling the impact of distance between offices and borrowers on agricultural loan volume", Agricultural Finance Review, Vol. 75 No. 4, pp. 484-498. https://doi.org/10.1108/AFR-01-2015-0005

Publisher

:

Emerald Group Publishing Limited

Copyright © 2015, Emerald Group Publishing Limited

Related articles