基于熵理论的DQAF信息量研究

Research on Information Content of DQAF Based on Entropy Theory

通过运用信息熵理论对DQAF框架本身的维度、指标信息量问题进行研究,得出:DQAF各维度、指标在账户内部以及不同账户间体现的信息量不同;统计数据账户的生产主体和账户数据类型对于数据质量具有明显的影响作用。基于上述结论,提出对DQAF框架的改进设想:1.对该框架中评估能力欠佳的维度和指标进行改进,制定可行的量化标度用于数据评估;2.根据数据生产部门不同和数据类型差异制定不同的考核评价标准和量化细则。

The authors investigate the intorrnation content of dimensions and indicators of DQAF Applying information entropy theory; it is found that each dimension and indicator of DQAF doesn＇t only contain unequal information in the account but also among the accounts, and the producer of statistical account as well as the data type of account has a significant effect on the data quality. Based on the above conclusion, we bring forward some assumptions of improvement for DQAF.