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数字化转型背景下中国纺织服装企业运营效率评价

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为进一步提升中国纺织服装企业运营效率,选取2018-2022 年中国54 家纺织服装上市企业作为研究对象,基于数据包络分析(Data Envelopment Analysis,DEA)理论,构建数字化转型背景下中国纺织服装企业运营效率评价指标体系,运用DEA相关模型,从静态和动态 2 个角度分析企业运营效率.静态分析结果表明:2018-2022 年样本企业的综合效率平均值在0.700~0.800 之间,未来仍有较大进步空间;综合效率有效的企业数量在8~14 家,说明大多数企业运营效率处于DEA无效状态;规模收益递增的企业数量由 4 家增加至 11 家,说明投入产出比下降的企业数量增加.样本企业动态分析结果表明:全要素生产率指数的平均值大于 1,说明企业运营效率总体处于有效状态;全要素生产率指数大于 1 的企业数量占比为 61.1%,说明大多数企业运营效率处于进步状态;技术进步由 1.019 连续下降至 0.968,说明企业技术进步速度降低.未来企业应重视数字化人才与技术的投入,改善运营制度,提高运营效率.
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

郑通、张立杰

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新疆大学 纺织与服装学院,新疆 乌鲁木齐 830046

数字化转型 纺织服装企业 运营效率 数据包络分析 全要素生产率

2024

毛纺科技
中国纺织信息中心 北京毛纺织科学研究所

毛纺科技

北大核心
影响因子:0.3
ISSN:1003-1456
年,卷(期):2024.52(7)