省域对比视角下诚信体系建设的多维度聚类模式研究——基于2009—2013年的样本研究

Multidimensional Clustering Research on Credit System Construction:Perspective of Provincial Comparison-Based on Samples from 2009 to 2013

通过研究我国省域诚信体系建设的聚类问题,提出了诚信体系建设影响因素,兼顾社会、经济、政治、金融等维度,建立了测度社会诚信体系建设绩效的12个二级指标;基于我国31个省市2009-2013年时间序列数据,运用Orness测度确定了各年的时间权重,依据K-means算法进行聚类,为社会诚信体系建设分类和目标管理提供借鉴作用。

The clustering of the credit system construction environment of different provinces is studied.From social,economic,political,financial dimensions,the influential factors of the credit system construction environment are raised and 12 secondary indicators are established to measure the performance of social credit system construction.Based on the time series data of 31 provinces and cities in China from 2009 to 2013,the time weight of each year is determined with the Orness measures.Clustering based on K-means algorithm provides reference for classification and target management of social credit system construction.