Enterprise Credit Risk Decision: Application Based on Improved AHP

IF 0.8 Q3 MULTIDISCIPLINARY SCIENCES
Tao Li, Majid Khan, Majahar Ali, Tian Ying, Lili Wu
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引用次数: 0

Abstract

The credit risk of Shouguang vegetable enterprises in China is the biggest obstacle to corporate loans. Building a credit risk assessment model for Shouguang vegetable enterprises and accurately rating the risk of loan enterprises is the key to successful loans. This article aims to construct an AHP evaluation model for the credit risk of Shouguang vegetable enterprises. The data is sourced from managers, bank credit personnel, university researchers, and enterprise related customers who are familiar with the enterprise, while considering four risk levels: impact degree(I), occurrence probability(P), risk manageability(M), and government support(S). This article uses AHP and risk index scores to evaluate the credit risk of Shouguang vegetable enterprises. This model calculates the risk index score based on survey data from 41 corporate credit risk professionals, constructs a pairwise comparison judgment matrix, and conducts consistency testing. It calculates the risk level membership vectors of impact degree, occurrence probability, risk manageability, and government support level at four risk levels, and then calculates the comprehensive evaluation membership vector of credit risk for Shouguang vegetable enterprise. The calculation results show that the comprehensive credit risk assessment level of Shouguang vegetable enterprise belongs to the general risk level, with a membership value of 0.5836. The results still show that the credit rating of Shouguang vegetable enterprises in the four risk levels of impact degree, occurrence probability, risk manageability, and government support are all average risk levels, but there are differences in membership values. The maximum membership value under the impact degree level is 0.6163, and the minimum membership value under the risk manageability level is 0.5572. This study provides a feasible and practical model for enterprise credit risk assessment and conducts a detailed evaluation of the credit risk of Shouguang vegetable enterprise, providing valuable reference for enterprise managers, bank credit personnel, and related researchers.
企业信贷风险决策:基于改进型 AHP 的应用
我国寿光蔬菜企业的信用风险是企业贷款的最大障碍。建立寿光蔬菜企业信用风险评估模型,准确评定贷款企业的风险等级是贷款成功的关键。本文旨在构建寿光蔬菜企业信贷风险的 AHP 评估模型。数据来源于企业管理者、银行信贷人员、高校研究人员以及熟悉企业的相关客户,同时考虑了四个风险等级:影响程度(I)、发生概率(P)、风险可控性(M)和政府支持(S)。本文采用 AHP 法和风险指数评分法对寿光蔬菜企业的信用风险进行评价。该模型基于 41 位企业信用风险专业人士的调查数据计算风险指数分值,构建成对比较判断矩阵,并进行一致性检验。计算出四个风险等级的影响程度、发生概率、风险可控性、政府支持程度的风险等级成员向量,进而计算出寿光蔬菜企业信用风险综合评价成员向量。计算结果表明,寿光蔬菜企业的信用风险综合评价等级属于一般风险等级,成员值为 0.5836。结果仍显示,寿光蔬菜企业在影响程度、发生概率、风险可控性、政府支持四个风险等级中的信用等级均为一般风险等级,但成员值存在差异。影响程度水平下的最大成员值为 0.6163,风险可控水平下的最小成员值为 0.5572。本研究为企业信贷风险评估提供了一个切实可行的模型,对寿光蔬菜企业信贷风险进行了详细的评估,为企业管理者、银行信贷人员及相关研究人员提供了有价值的参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
1.40
自引率
0.00%
发文量
45
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