基于 DEA-GRA 的信息安全产业效率衡量研究

Songye Wu, Huixin Zheng, Caihong Lv, Jialing Jiang, Shenghong Li
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引用次数: 0

摘要

信息安全企业的运营效率对我国信息安全乃至经济安全具有重要意义。本文构建了DEA-GRA模型,计算了30家上市公司的BCC效率分解,给出了非DEA有效企业的投入冗余量和产出不足量。本研究还探讨了超效率技术的效率与企业生产和销售地环境因素之间的灰色关联。研究结果表明,2022 年绝大多数非 DEA 有效决策单位的规模处于不断缩小的状态。灰色关联分析表明,生产地的产业集群效应和科技投入、经营地的信息安全产业发展程度对信息安全企业的技术效率有重要影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Study on Information Security Industry Efficiency Measurement Based on DEA-GRA
The operational efficiency of information security enterprises is of great significance to China's information security and even economic security. This paper constructs a DEA-GRA model to calculate the BCC efficiency decomposition of 30 listed companies and gives the amount of input redundancy and output insufficiency of non-DEA effective enterprises. This study also explores the grey correlation between the efficiency of super-efficient technologies and the environmental factors of where firms produce and sell. The results of the study show that the vast majority of non-DEA effective decision-making units in 2022 are in a state of decreasing size. The grey correlation analysis shows that the industrial cluster effect and scientific and technological investment in the production place, and the degree of development of the information security industry in the operation place have an important impact on the technical efficiency of information security enterprises.
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