Operational Performance Evaluation of Iron and Steel Industry in China under the Background of Digital Transformation – An Application of Data Envelopment Analysis

Abstract

This paper aims to study the operating performance of iron and steel enterprises under the background of digital transformation, using the DEA-Malmquist model to carry out static and dynamic analysis of the data from 2018 to 2022, which is divided into four parts. Generally speaking, most of the selected companies have good operational performance, but there is still room for improvement. This paper aims to establish a more comprehensive and objective evaluation system that aligns with the actual development of the steel industry, in order to fulfill the operational performance assessment needs of listed steel enterprises within the context of digitalization.