Research on SMEs’ Credit Risk Evaluation Index System from the Perspective of Supply Chain Finance –– R-cluster and coefficient of variation based on panel data

Abstract

Supply chain finance (SCF) can effectively alleviate SMEs’ financing difficulty. Therefore, this paper mainly studies SMEs’ credit risk evaluation index system under the background of SCF, so as to comprehensively analyse SMEs’ credit risk and control the bank risk. This paper's main work is as follows: Firstly, SMEs’ credit risk evaluation indicators under SCF are widely selected; Secondly, the indicators are qualitatively screened according to 3 principles; Then, taking 579 SMEs as a sample, according to the weighted absolute indicators and average growth rate after panel data pre-processing, using R-cluster layer and the coefficient of variation method in each criterion to quantitatively screen the indicators; Finally, through rational analysis, 46 indicators are selected to form SMEs’ credit risk evaluation indicator system based on SCF.