企业社会责任评价数据

支持金融机构在绿色金融场景下营销获客、尽调、风险监控、宏观研究的应用，我司基于企业的社会特征并结合数据的可获得性和有效性，构建了企业社会责任评价模型，基于该模型得出企业社会责任评价数据，协助金融机构从微观角度和宏观角度进行分析，可以动态监控单家企业社会责任评价数据的变动情况，及时发现企业经营的异常情况，也可以结合地域、行业等属性宏观分析整体的情况，再对比单家企业所处的水平。企业社会责任评价分=S1*（是否有安全生产重大事故）+S2*（是否有安全管理体系）+S3*（是否有安全生产许可证)+S4*（是否有质量管理体系)+S5*（是否进行抽查检查)+S6*（基金会捐赠金额)+S7*（是否有企业欠税)+S8*（是否为纳税非正常户)+S9*（是否有重大税收违法)，S1-S9是通过层次分析法得出的不同权重系数。

This dataset supports financial institutions' applications in green finance scenarios, including marketing-driven customer acquisition, due diligence, risk monitoring, and macroeconomic research. Our company develops a Corporate Social Responsibility (CSR) evaluation model based on enterprises' social characteristics, combined with the availability and validity of relevant data. Using this model, we generate CSR evaluation data for enterprises, which assists financial institutions in carrying out analyses from both micro and macro perspectives. The system can dynamically monitor changes in the CSR evaluation scores of individual enterprises, timely detect abnormal business operations of such enterprises, conduct macro-level overall analysis by integrating attributes such as region and industry, and compare the performance level of individual enterprises against the overall context. The CSR evaluation score is calculated as follows:
CSR Score = S1 * (Whether the enterprise has had a major work safety accident) + S2 * (Whether the enterprise has a safety management system) + S3 * (Whether the enterprise holds a work safety permit) + S4 * (Whether the enterprise has a quality management system) + S5 * (Whether spot checks and inspections have been conducted on the enterprise) + S6 * (Foundation donation amount of the enterprise) + S7 * (Whether the enterprise has unpaid taxes) + S8 * (Whether the enterprise is classified as an abnormal tax taxpayer household) + S9 * (Whether the enterprise is involved in a major tax violation)
The weights S1 through S9 are distinct coefficient values derived through the Analytic Hierarchy Process (AHP).

搜集汇总

数据集介绍

特点

该数据集提供了1111条企业社会责任评价数据，每日更新，适用于金融机构在绿色金融领域的应用。数据包括企业基本信息、安全生产、税务状况等关键指标，通过特定算法计算企业社会责任评价分数，支持微观和宏观层面的分析。