首页|创新驱动背景下四川省工业企业生产效率评价和影响因素分析——基于DEA和Tobit指数模型

创新驱动背景下四川省工业企业生产效率评价和影响因素分析——基于DEA和Tobit指数模型

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工业作为四川省经济的主要支撑力量,工业效率水平直接关系到四川省经济的持续健康发展.为进一步提升四川省工业企业生产效率,结合四川省规上工业企业2018-2022年的相关数据,运用DEA模型和malmquist指数法对四川省21市(州)工业企业生产效率进行了全面测算和比较,并使用tobit模型探究了影响因素.研究发现:四川省规上工业企业生产效率达到有效的城市不超过一半,在动态效率分析中发现技术效率对其影响最大,进一步通过tobit模型分析得知,经济水平、产业结构、外贸水平以及研发投入强度均对企业生产效率均有着不同程度的影响.鉴于此,给出了提高工业企业生产效率的相关建议.
Evaluation of Productivity and Analysis of Influencing Factors of Industrial Enterprises in Sichuan Province under the Background of Innovation Driving——Based on DEA and Tobit Index Modeling
As the main supporting force of Sichuan Province's economy,the level of industrial efficiency is directly related to the sustainable and healthy development of Sichuan Province's economy.In order to further improve the production efficiency of industrial enterprises in Sichuan Province,combined with the relevant data of Sichuan's above-scale industrial enterprises from 2018 to 2022,the production efficiency of industrial enterprises in 21 cities(states)of Sichuan Province was comprehensively measured and compared by using the DEA model and the malmquist index method,and the influencing factors were explored by using the tobit model.It is found that the production efficiency of industrial enterprises in Sichuan Province is effective in less than half of the cities,and in the dynamic efficiency analysis,it is found that the technical efficiency has the greatest influence on it,and further analyzed by the tobit model,the level of the economy,the industrial structure,the level of foreign trade,and the intensity of research and development inputs have different degrees of influence on the production efficiency of the enterprises.In view of this,relevant suggestions to improve the production efficiency of industrial enterprises are given.

production efficiencyscientific and technological innovationDEATobit model

倪梦颖、姚德利

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安徽理工大学经济与管理学院,安徽 淮南 232000

生产效率 科技创新 DEA Tobit模型

2024

现代工业经济和信息化

现代工业经济和信息化

影响因子:0.485
ISSN:
年,卷(期):2024.14(11)