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工商企业经营规模评估数据

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浙江省数据知识产权登记平台2024-11-06 更新2024-11-07 收录
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资源简介:
在金融信贷业务的尽职调查环节中,金融机构的核心任务是深入剖析企业的当前经营规模,以此作为决定是否向其提供金融服务的重要依据。针对这一需求,我司结合了工商企业的特性,同时考量了数据的可获取性和实用性,设计了一套工商企业经营规模评估模型。借助这一模型,能够生成精准的企业经营规模评估数据,显著增强了金融机构在评估企业规模时的精确度和工作效率。工商企业经营规模得分 = S1 *(上年度资产总额的行业排名)+ S2 * (上年度资产总额的省份排名)+ S3 *(上年度所有者权益的行业排名)+ S4 *(上年度所有者权益的省份排名)+ S5 *(上年度净利润的行业排名)+ S6 *(上年度净利润的省份排名)+ S7 *(上年度营业总收入的行业排名)+ S8 *(上年度营业总收入的省份排名)+ S9*(上年度纳税总额的行业排名)+ S10 *(上年度纳税总额的省份排名),其中,S1至S10是通过统计与机器学习模型得出的的不同权重系数。

In the due diligence stage of financial credit business, the core task of financial institutions is to conduct in-depth analysis of the current operating scale of enterprises, which serves as a critical basis for deciding whether to provide financial services to them. To address this requirement, our company has designed an industrial and commercial enterprise operating scale evaluation model by integrating the characteristics of such enterprises and considering the accessibility and practicability of relevant data. This model can generate accurate enterprise operating scale evaluation data, which significantly enhances the accuracy and work efficiency of financial institutions when evaluating enterprise scales. The Operating Scale Score of Industrial and Commercial Enterprises is calculated as: $$ ext{Score} = S_1 imes ( ext{Industry Ranking of Total Assets in the Previous Year}) + S_2 imes ( ext{Provincial Ranking of Total Assets in the Previous Year}) + S_3 imes ( ext{Industry Ranking of Owner's Equity in the Previous Year}) + S_4 imes ( ext{Provincial Ranking of Owner's Equity in the Previous Year}) + S_5 imes ( ext{Industry Ranking of Net Profit in the Previous Year}) + S_6 imes ( ext{Provincial Ranking of Net Profit in the Previous Year}) + S_7 imes ( ext{Industry Ranking of Total Operating Revenue in the Previous Year}) + S_8 imes ( ext{Provincial Ranking of Total Operating Revenue in the Previous Year}) + S_9 imes ( ext{Industry Ranking of Total Tax Payment in the Previous Year}) + S_{10} imes ( ext{Provincial Ranking of Total Tax Payment in the Previous Year})$$ where $S_1$ to $S_{10}$ are distinct weight coefficients derived from statistical and machine learning models.
提供机构:
浙江有数数智科技有限公司
创建时间:
2024-10-17
搜集汇总
数据集介绍
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特点
该数据集包含1200条工商企业的经营规模评估数据,每周更新,适用于金融信贷业务的尽职调查。数据包括企业基本信息、财务指标排名及经营规模评分,通过特定算法模型计算得出,旨在提高金融机构评估企业规模的精确度和效率。
以上内容由遇见数据集搜集并总结生成
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