工商企业经营稳定性评估数据
收藏浙江省数据知识产权登记平台2024-10-10 更新2024-10-11 收录
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在金融信贷业务的尽调场景下,金融机构除了关注企业当前的经营表现外,也格外关注企业中长期的经营稳定性情况,从而确定是否能给与该企业相应的金融服务。我司基于工商企业的特征并结合数据的可获得性和有效性,构建了工商企业经营稳定性评估模型并基于该模型得出企业的经营稳定性评估数据,能有效提升金融机构评价企业稳定性的准确度和效率。工商企业经营稳定性得分 = S1 *(距今企业成立天数的行业排名)+ S2 * (距今企业成立天数的省份排名)+ S3 *(高管人数)+ S4 *(企业法人担任法人的总企业数)+ S5 *(从业人数)+ S6 *(从业人数的行业排名)+ S7 *(从业人数的省份排名),其中,S1、S2、S3、S4、S5、S6、S7是通过AHP(层次分析法)得出的的不同权重系数。
In the due diligence scenario of financial credit business, financial institutions not only focus on the current operating performance of enterprises, but also pay special attention to their medium- and long-term operational stability to determine whether to provide corresponding financial services to the enterprises.
Our company has constructed an operational stability assessment model for industrial and commercial enterprises based on their characteristics and the availability and validity of relevant data, and generated enterprise operational stability assessment data using this model, which can effectively improve the accuracy and efficiency of financial institutions when evaluating enterprise stability.
The formula for the Operational Stability Score of Industrial and Commercial Enterprises is as follows:
Operational Stability Score = S1 × (Industry ranking of the number of days since the enterprise's establishment) + S2 × (Provincial ranking of the number of days since the enterprise's establishment) + S3 × (Number of executives) + S4 × (Total number of enterprises where the corporate legal representative serves as the legal representative) + S5 × (Number of employees) + S6 × (Industry ranking of the number of employees) + S7 × (Provincial ranking of the number of employees)
where S1, S2, S3, S4, S5, S6, and S7 are distinct weight coefficients calculated via the AHP (Analytic Hierarchy Process) method.
提供机构:
浙江有数数智科技有限公司
创建时间:
2024-09-06
搜集汇总
数据集介绍

特点
该数据集包含1235条工商企业经营稳定性评估数据,每周更新。数据涵盖企业名称、统一社会信用代码、经营稳定性评分等多个字段,适用于金融信贷业务的尽调场景,通过特定算法评估企业经营稳定性。
以上内容由遇见数据集搜集并总结生成



