Assessing the financial condition and accounts receivable risk among US farmer cooperatives

IF 1.5 Q3 AGRICULTURAL ECONOMICS & POLICY Agricultural Finance Review Pub Date : 2021-10-18 DOI:10.1108/afr-06-2021-0080
Gerald Mashange, Brian C. Briggeman
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引用次数: 3

Abstract

PurposeThe purpose of this paper is to examine the financial condition and ability of farmer cooperatives to withstand significant increases in bad debt expense.Design/methodology/approachA unique data set of farmer cooperative financial statements that spans from 1996 to 2019 is used to examine the changes in profitability, solvency, liquidity and accounts receivable risk. Also, a deterministic stress test model is designed to shock bad debt expense and the resulting write-off of accounts receivable for farmer cooperatives. The stress test provides insights to the resiliency of farmer cooperatives.FindingsResults find that farmer cooperatives are in a strong financial position, which has improved over time. The majority of farmer cooperatives are able to absorb a substantial increase in bad debt expense because of their sizable, retained earnings position. However, cooperatives that have significant profitability challenges do experience much larger losses, especially mixed farmer cooperatives (roughly equally amounts of grain and farm supply sales) and large cooperatives with more than $500 million in sales.Practical implicationsThe stress test results suggest farmer cooperative managers and boards of directors could re-examine their credit policies and consider extending additional credit. Also, cooperatives should consider monitoring and identifying an optimal accounts receivable to retained earnings ratio, which is similar to how banks examine their tier 1 capital ratios.Originality/valueThe value of this study is having data that allows for the examination of the financial condition of farmer cooperatives over time. Also, having current data means the accounts receivable stress test results are more relevant and timelier. This is important because these accounts receivable are primarily tied to crop input supplies, and farmer cooperatives are a significant market participant in the crop input supply market.
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评估美国农民合作社的财务状况和应收账款风险
目的本文的目的是检验农民合作社的财务状况和承受坏账费用大幅增加的能力。设计/方法/方法使用1996年至2019年农民合作社财务报表的独特数据集来检查盈利能力、偿付能力、流动性和应收账款风险的变化。此外,还设计了一个确定性压力测试模型来冲击农民合作社的坏账费用和由此产生的应收账款核销。压力测试为农民合作社的弹性提供了见解。结果发现,农民合作社的财务状况很好,随着时间的推移,财务状况有所改善。大多数农民合作社由于其可观的留存收益状况,能够吸收坏账费用的大幅增加。然而,盈利能力面临重大挑战的合作社确实会遭受更大的损失,尤其是混合农民合作社(粮食和农场供应销售额大致相等)和销售额超过5亿美元的大型合作社。实际含义压力测试结果表明,农民合作社的管理者和董事会可以重新审视他们的信贷政策,并考虑提供额外的信贷。此外,合作社应考虑监测和确定最佳应收账款与留存收益的比率,这与银行审查其一级资本比率的方式类似。独创性/价值这项研究的价值在于,有数据可以检查农民合作社的财务状况。此外,拥有当前数据意味着应收账款压力测试结果更相关、更及时。这一点很重要,因为这些应收账款主要与作物投入供应挂钩,农民合作社是作物投入供应市场的重要市场参与者。
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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
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