Operational efficiency evaluation of Chinese textile and clothing enterprises against the digital transformation background
In order to improve the operational efficiency of Chinese textile and clothing enterprises,54 textile and clothing listed enterprises in China from 2018 to 2022 were selected as the research objects.Based on the data envelopment analysis(DEA)theory,the evaluation index system of operational efficiency in the digital transformation context was constructed,and DEA related models were used to analyze the operational efficiency of enterprises from both static and dynamic perspectives.The static analysis results show that the average comprehensive efficiency of the sample enterprises from 2018 to 2022 is between 0.700 and 0.800,and there is still a large room for improvement in the future;The number of enterprises with comprehensive efficiency is 8~14,indicating that the operational efficiency of most enterprises is in an invalid state of DEA.The number of companies with increasing returns to scale increased from 4 to 11,indicating that the number of enterprises with decreasing input-output ratio increased.The results of dynamic analysis show that the average value of total factor productivity index is greater than 1.The number of enterprises with total factor productivity index greater than 1 accounted for 61.1%,indicating that the operation efficiency of most enterprises was in a state of progress.The technical progress decreased continuously from 1.019 to 0.968,indicating that the technological progress rate of enterprises decreased.In the future,enterprises should pay attention to the investment of digital talents and technologies,improve the operation system and improve the operation efficiency.
digital transformationtextile and clothing enterprisesoperational efficiencyDEAtotal factor productivity