常州家庭农场信用评分数据

在收集全市家庭农场的数据基础上，借鉴和整合银行风控部门风控要求，通过层次分析法设计信用评分模型（包括基本特征、经营规模、专业化程度、信用情况、公共信息、保证联保6个方面），用于为新型农业经营主体展示信用形象，同时提供给银行作为评估信贷风险的参考。信用评分总分是1000分，被评价的对象会根据他们的信用表现获得相应的分数，分数越高通常代表信用状况越好。Based on a city-wide dataset of family farms, this framework draws on and integrates the risk management requirements of banking risk control divisions, and constructs a credit scoring model via the Analytic Hierarchy Process (AHP). The model covers six dimensions: basic characteristics, operation scale, specialization level, credit status, public information, and joint mutual guarantee. It is designed to help new-type agricultural business entities demonstrate their credit standing, while also serving as a reference for banks to assess credit risks. The total credit score is out of 1000 points. Evaluated subjects will receive corresponding scores based on their credit performance, where higher scores generally indicate better credit conditions.

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常州家庭农场信用评分数据由常州企业征信服务有限公司提供，包含家庭农场的基本特征、经营规模等6个方面的信用评分模型，总分1000分，用于金融机构评估信贷风险。数据格式为Excel，技术关键词包括因子分析法和层次分析法。