Factors affecting the agricultural loan decision‐making process
Factors affecting the agricultural loan decision‐making process
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农业贷款决策影响因素
DOI：
10.1108/00214660780001195
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发表时间：
2007
影响因子：
1.6
通讯作者：
John D. Jones
中科院分区：
文献类型：
--
作者：
Allen M. Featherstone;Christine A. Wilson;T. Kastens;John D. Jones
在当今环境下，农业贷款机构在评估农业借款人的信誉时面临许多挑战。为了应对这些挑战，我们对堪萨斯州和印第安纳州的金融机构进行了一项调查，要求农业贷款机构对假设的农业贷款请求做出回应。每个贷款请求都因借款人的性格、财务记录、生产状况、Fair Isaac信用局评分和信用风险而异。贷款人提供了他们自己和他们的金融机构的信息。在分析农业贷款申请时，获得的调查数据决定了金融和非财务信息的相对重要性。估计Tobit模型用于确定借款人和贷款人的特征，这些特征在决定贷款批准方面很重要，而OLS模型用于调查影响向农业借款人提供利率的因素。研究结果提供了两个重要农业国家之间农业贷款的比较，并为贷款人提供了影响其他农业贷款人决策过程的因素的见解。
Agricultural lenders in today’s environment face many challenges when evaluating the creditworthiness of farm borrowers. To address these challenges, a survey was conducted with financial institutions in Kansas and Indiana where agricultural lenders were asked for their responses to hypothetical agricultural loan requests. Each loan request differed by the borrower’s character, financial record keeping, productive standing, Fair Isaac credit bureau score, and credit risk. Lenders provided information about themselves and their financial institutions. The survey data obtained determine the relative importance of financial and nonfinancial information when analyzing agricultural loan applications. Tobit models are estimated to identify the borrower and lender characteristics that are important in determining loan approval, while OLS models are used to investigate the factors that affect interest rates offered to farm borrowers. The results offer a comparison of agricultural lending between two important agricultural states and provide lenders with insight on the factors that influence the decision-making process of other agricultural lenders.