主管:中国科学院
主办:中国优选法统筹法与经济数学研究会
   中国科学院科技战略咨询研究院

中国管理科学 ›› 2026, Vol. 34 ›› Issue (6): 146-156.doi: 10.16381/j.cnki.issn1003-207x.2024.0988cstr: 32146.14.j.cnki.issn1003-207x.2024.0988

• • 上一篇    下一篇

基于目标一致型加权动态网络SBM模型的专精特新企业运营效率评价

李美娟1, 徐宏成1, 杨薇1, 卢锦呈2()   

  1. 1.福州大学经济与管理学院,福建 福州 350108
    2.集美大学工商管理学院,福建 厦门 361021
  • 收稿日期:2024-06-20 修回日期:2025-03-20 出版日期:2026-06-25 发布日期:2026-05-22
  • 通讯作者: 卢锦呈 E-mail:ljc11@jmu.edu.cn
  • 基金资助:
    国家自然科学基金项目(72372027);福建省社会科学基金项目(FJ2023B053);集美大学科研启动基金项目(CM238108)

Evaluation of Operational Efficiency ofSRDIEnterprises Based on Weighted Dynamic Network SBM with Consistent Objective

Meijuan Li1, Hongcheng Xu1, Wei Yang1, Jincheng Lu2()   

  1. 1.School of Economics and Management,Fuzhou University,Fuzhou 350108,China
    2.School of Business Administration,Jimei University,Xiamen 361021,China
  • Received:2024-06-20 Revised:2025-03-20 Online:2026-06-25 Published:2026-05-22
  • Contact: Jincheng Lu E-mail:ljc11@jmu.edu.cn

摘要:

党的二十大报告明确提出要大力支持专精特新企业发展。在此背景下,科学评估专精特新企业运营效率并探索其提升路径,对推动企业高质量发展具有重要意义。本研究基于研发与经营双重视角,构建了目标一致型加权动态网络松弛测度模型。借助基点转换法在处理负值数据集方面的优势,本文有效克服了传统DEA模型在负值数据处理中存在的收敛困难问题。基于2018-2022年我国28家专精特新上市企业的面板数据,实证研究发现:(1)样本企业运营效率均值呈现显著的“M”型波动趋势,表明专精特新企业整体发展稳定性有待提升;(2)通过调节衰减系数参数,可有效识别不同时期企业的相对发展优劣势;(3)与传统动态SBM模型的对比分析表明,本模型在评价效度、结果区分度等方面具有明显优势,更适合我国专精特新企业的效率评估。本研究为政府部门制定精准扶持政策和企业优化运营效率提供了科学的决策依据。

关键词: 专精特新企业, 动态网络松弛测度模型, 基点转换法, 运营效率, 衰减系数

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

中图分类号: