Regional analysis of agricultural bank liquidity

IF 1.5 Q3 AGRICULTURAL ECONOMICS & POLICY Agricultural Finance Review Pub Date : 2024-08-27 DOI:10.1108/afr-10-2023-0129
Cortney Cowley, Ty Kreitman, Nathan Kauffman
{"title":"Regional analysis of agricultural bank liquidity","authors":"Cortney Cowley, Ty Kreitman, Nathan Kauffman","doi":"10.1108/afr-10-2023-0129","DOIUrl":null,"url":null,"abstract":"<h3>Purpose</h3>\n<p>The purpose of this article is to determine the regional economic factors and bank characteristics that significantly contribute to changes in bank liquidity. We also seek to identify regions that may be most susceptible to liquidity tightening.</p><!--/ Abstract__block -->\n<h3>Design/methodology/approach</h3>\n<p>For this article we use data on deposits from commercial banks, Federal Reserve survey data and indicators of regional and agricultural economic conditions. We specify a panel regression with fixed effects to model how liquidity at agricultural banks has changed and to identify the most significant drivers.</p><!--/ Abstract__block -->\n<h3>Findings</h3>\n<p>Our results suggest that small banks and banks with branch networks located in areas more concentrated in agricultural production bear the greatest risk of reduced liquidity.</p><!--/ Abstract__block -->\n<h3>Practical implications</h3>\n<p>Prior to the pandemic and more recently, lower deposit growth, combined with strong demand for agricultural loans, has led to reductions in liquidity at agricultural banks. Lower liquidity could reduce credit availability for farm borrowers and increase risks for banks that must rely on alternative sources of funding to meet loan demand.</p><!--/ Abstract__block -->\n<h3>Originality/value</h3>\n<p>Previous research has shown that exogenous shocks from other economic sectors, such as energy, can significantly affect bank liquidity, but research is limited on how agricultural bank liquidity is affected by downturns in the agricultural economy and other regional economic factors. Another contribution is this paper’s analysis of regional disparities in bank liquidity.</p><!--/ Abstract__block -->","PeriodicalId":46748,"journal":{"name":"Agricultural Finance Review","volume":"59 1","pages":""},"PeriodicalIF":1.5000,"publicationDate":"2024-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Agricultural Finance Review","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/afr-10-2023-0129","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"AGRICULTURAL ECONOMICS & POLICY","Score":null,"Total":0}
引用次数: 0

Abstract

Purpose

The purpose of this article is to determine the regional economic factors and bank characteristics that significantly contribute to changes in bank liquidity. We also seek to identify regions that may be most susceptible to liquidity tightening.

Design/methodology/approach

For this article we use data on deposits from commercial banks, Federal Reserve survey data and indicators of regional and agricultural economic conditions. We specify a panel regression with fixed effects to model how liquidity at agricultural banks has changed and to identify the most significant drivers.

Findings

Our results suggest that small banks and banks with branch networks located in areas more concentrated in agricultural production bear the greatest risk of reduced liquidity.

Practical implications

Prior to the pandemic and more recently, lower deposit growth, combined with strong demand for agricultural loans, has led to reductions in liquidity at agricultural banks. Lower liquidity could reduce credit availability for farm borrowers and increase risks for banks that must rely on alternative sources of funding to meet loan demand.

Originality/value

Previous research has shown that exogenous shocks from other economic sectors, such as energy, can significantly affect bank liquidity, but research is limited on how agricultural bank liquidity is affected by downturns in the agricultural economy and other regional economic factors. Another contribution is this paper’s analysis of regional disparities in bank liquidity.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
农业银行流动性的区域分析
本文旨在确定对银行流动性变化有重大影响的地区经济因素和银行特征。在本文中,我们使用了商业银行的存款数据、美联储调查数据以及地区和农业经济状况指标。结果我们的结果表明,小型银行和分行网络位于农业生产较为集中地区的银行面临流动性减少的风险最大。实际意义在大流行病之前以及最近,存款增长较低,再加上农业贷款需求旺盛,导致农业银行流动性减少。流动性降低可能会减少对农业借款人的信贷供应,并增加银行的风险,因为银行必须依赖其他资金来源来满足贷款需求。原创性/价值以往的研究表明,来自能源等其他经济部门的外源冲击会严重影响银行的流动性,但关于农业银行的流动性如何受到农业经济衰退和其他地区经济因素影响的研究还很有限。本文的另一个贡献是分析了银行流动性的地区差异。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Agricultural Finance Review
Agricultural Finance Review AGRICULTURAL ECONOMICS & POLICY-
CiteScore
3.70
自引率
18.80%
发文量
24
期刊介绍: Agricultural Finance Review provides a rigorous forum for the publication of theory and empirical work related solely to issues in agricultural and agribusiness finance. Contributions come from academic and industry experts across the world and address a wide range of topics including: Agricultural finance, Agricultural policy related to agricultural finance and risk issues, Agricultural lending and credit issues, Farm credit, Businesses and financial risks affecting agriculture and agribusiness, Agricultural policies affecting farm or agribusiness risks and profitability, Risk management strategies including the use of futures and options, Rural credit in developing economies, Microfinance and microcredit applied to agriculture and rural development, Financial efficiency, Agriculture insurance and reinsurance. Agricultural Finance Review is committed to research addressing (1) factors affecting or influencing the financing of agriculture and agribusiness in both developed and developing nations; (2) the broadest aspect of risk assessment and risk management strategies affecting agriculture; and (3) government policies affecting farm profitability, liquidity, and access to credit.
期刊最新文献
Multi-step commodity forecasts using deep learning Regional analysis of agricultural bank liquidity Data-driven determination of plant growth stages for improved weather index insurance design Utilizing FSA conservation loan programs to support farm conservation activities Evaluation of alternative farm safety net program combination strategies
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1