首页|基于DEA-Tobit方法分析江苏省纺织服装企业竞争力

基于DEA-Tobit方法分析江苏省纺织服装企业竞争力

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在研究江苏省纺织服装企业竞争力的背景下,以2023年12家江苏省上市的纺织企业的财务数据为支撑,采用DEA-Tobit两步法对5项指标进行相关分析.通过DEA-BCC模型对12家上市纺织服装企业的数据分析,发现大多数企业的综合效率、纯技术效率和规模效率接近于1,表明其生产过程和规模经营相对高效.但也存在少数企业的综合效率较低,技术效率和规模效率也偏低.Tobit回归分析表明,固定资产净值、员工人数和研发支出对企业综合效率具有显著影响.建议企业加强生产流程优化、合理配置资源、加大研发投入等方式以提高纺织服装企业的竞争力.
Analysis of the competitiveness of textile and clothing enterprises in Jiangsu province Based on DEA-Tobit Method
Against the backdrop of studying the competitiveness of Jiangsu province's textile and apparel companies,this study is based on the financial data of 12 Jiangsu province-listed textile companies in 2023.It employs the DEA-Tobit two-step method to analyze five indicators.Through DEA-BCC model analysis of the data from the 12 listed textile companies,it was found that the majority of enterprises'comprehensive efficiency,pure technical efficiency,and scale efficiency were close to 1,indicating relative-ly efficient production processes and scale operations.However,a few enterprises had lower comprehensive efficiency,with lower technical and scale efficiencies.Tobit regression analysis showed that fixed asset net value,number of employees,and R&D expen-diture significantly influenced enterprise comprehensive efficiency.It is recommended that companies strengthen production process optimization,rational resource allocation,and increase R&D investment to enhance comprehensive efficiency and achieve sustain-able development.

DEA-BCC modeltobit modelindustrial competitivenessenterprise efficiency

董林林、夏茂森、江玲玲

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安徽财经大学统计与应用数学学院,安徽 蚌埠 233030

安徽财经大学 金融学院,安徽 蚌埠 233030

DEA-BCC模型 Tobit模型 产业竞争力 企业效率

安徽省哲学社会科学规划项目安徽省哲学社会科学规划项目安徽高校人文社会科学研究重点项目

AHSKY2021D130AHS-KY2022D191SK2021A0219

2024

中国纤检
中国纤维检验局

中国纤检

影响因子:0.11
ISSN:1671-4466
年,卷(期):2024.(8)