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江苏省工业企业生产效率评价与影响因素研究

Evaluation and Influencing Factors of Production Efficiency in Industrial Enterprises in Jiangsu Province

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【作者】 牛雨晴姚德利

【Author】 Niu Yuqing;Yao Deli;School of Economics and Management, Anhui University of Technology;

【机构】 安徽理工大学经济与管理学院

【摘要】 主要研究江苏省13个城市的规上工业企业生产效率,基于投入产出理论和效率评价理论,从投入和产出两个方面着手,构建江苏省规上企业生产效率评价指标体系,并利用DEA-BCC模型和Malmquist模型,对江苏省2017—2022年规上工业企业生产效率进行静态和动态综合分析。同时对13个城市的投入冗余和产出不足进行了比较分类。研究发现:研究期限内完全有效的样本城市数量占样本总数的一半左右,南京、无锡、常州、徐州这四个城市的工业动态效率比较高。13个城市的动态效率指数平均值为1.006,略大于1,整体来看江苏省规上工业企业生产效率是有所提升的,效率指数年均增长率为0.6%。但是仍有四个城市在2022年存在投入冗余和产出不足的情况。

【Abstract】 This paper mainly studies the production efficiency of large-scale industrial enterprises in 13 cities in Jiangsu Province. Based on input-output theory and efficiency evaluation theory, a production efficiency evaluation index system for large-scale enterprises in Jiangsu Province is constructed from two aspects of input-output. The DEA-BCC model and Malmquist model are used to comprehensively evaluate the static and dynamic production efficiency of large-scale industrial enterprises in Jiangsu Province from 2017 to 2022. At the same time, a comparative classification was conducted on the input redundancy and output insufficiency of 13 cities. The study found that about half of the total sample cities were completely effective during the research period, with Nanjing, Wuxi, Chang zhou, and Xuzhou having relatively high industrial dynamic efficiency. The average dynamic efficiency index of 13 cities was 1.006, slightly higher than 1. Overall, the production efficiency of industrial enterprises above designated size in Jiangsu Province has improved, with an average annual growth rate of 0.6%.However, there are still four cities with redundant inputs and insufficient output in 2022.

【基金】 安徽理工大学研究生创新基金项目(2023cx2156);科技创新驱动安徽煤炭资源型城市产业降碳对策研究(202206f01050041);安徽省2022年科技创新战略与软科学研究专项项目
  • 【文献出处】 现代工业经济和信息化 ,Modern Industrial Economy and Informationization , 编辑部邮箱 ,2024年11期
  • 【分类号】F425
  • 【下载频次】52
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