Abstract:

Specialized， refined， distinctive， and innovative enterprises （SRDI） are nurtured by the government to promote the high-quality development of industrial and supply chains， as well as to address critical “bottleneck” technologies. The report of the 20th National Congress of the Communist Party of China explicitly called for strong support for the development of “SRDI” enterprises. However， in reality， “SRDI” enterprises are often faced with severe capital shortages. In this context， scientifically evaluating the operational efficiency of such enterprises and exploring pathways for improvement are crucial for promoting their high-quality development. A weighted dynamic network SBM with consistent objective is constructed from both R&D and operational perspectives. Inspired by the network SBM model with consistent objective and exponential decay method， the model avoids the subjective bias of the traditional dynamic network SBM model in determining the weights of sub-stages and sub-period， and eliminates the potential contradiction between the improvement direction of the intermediate products and that of the objective function by adjusting the treatment of the intermediate products. Furthermore， by leveraging the base-point transformation method to handle negative-value datasets， it effectively addresses the limitations of traditional models in processing negative data. Finally， the model is used to measure the operational efficiency of 28 “SRDI” listed enterprises in China during the period from 2018 to 2022， and from the analysis of the results， it is found that during the whole evaluation period， the average value of the operational efficiency of the “SRDI” enterprises shows an “M” trend； the average value of R&D efficiency of “SRDI” enterprises shows a “V” trend； the average value of operational efficiency of “SRDI” enterprises shows an “M” trend， reflecting the large fluctuation range of the overall operational status of “SRDI” enterprises in China. Secondly， by changing the attenuation coefficient in the model， the degree of advantages and disadvantages of the development of each “SRDI” enterprise in different periods is found. Third， the comparative analysis of this paper’s model with the traditional dynamic SBM model reveals that this paper’s model has greater advantages in terms of effectiveness and differentiation， and is more suitable for the efficiency evaluation of China’s “SRDI” enterprises. The findings provide a scientific basis for policymakers to design targeted support measures and for firms to optimize operational efficiency.

Key words: “SRDI” enterprises, dynamic network slacks-based measure model, base point transformation method, operational efficiency, attenuation coefficient