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A Study on the Technological Innovation Efficiency and Influencing Factors of Iron and Steel Enterprises Based on DEA - Tobit Two-step Method

机译:基于DEA - Tobit两步法的钢铁企业技术创新效率及影响因素研究

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The article analyzes the resource input of iron and steel enterprises in their technological innovation process by setting the input-oriented DEA effective frontier with the DEA method. On this basis, the regression analysis is carried out with respect to the influencing factors of the technological innovation efficiency in iron and steel enterprises with the Tobit regression analysis method. The study results show that 1. the averaged technological innovation efficiency of 12 enterprises is only 0.774, indicating the overall technological innovation efficiency of iron and steel enterprises is low; 2. Overall, the contribution of the pure technical efficiency is greater than the scale efficiency, and the scale efficiency of iron and steel enterprises is generally low; 3. There is a big difference in the technological innovation efficiency of different iron and steel enterprises; 4. The industrial structure and the overall innovation environment of the region where an enterprise is located play an important promoting role in the improvement of the technological innovation efficiency of iron and steel enterprises; 5. Increasing the concentration of production capacity, improving the innovation and resource allocation in the process of technological innovation, and optimizing the regional industrial structure and regional innovation environment, is the effective way to effectively improve the technological innovation efficiency of iron and steel enterprises.
机译:本文通过使用DEA方法将输入导向的DEA有效边界设定为技术创新过程,分析了钢铁企业的资源投入。在此基础上,对钢铁企业技术创新效率的影响因素进行了回归分析,对Tobit回归分析方法进行了影响。研究结果表明,12家企业平均技术创新效率仅为0.774,表明钢铁企业的整体技术创新效率低;总体而言,纯技术效率的贡献大于规模效率,钢铁企业的规模效率一般低; 3.不同钢铁企业技术创新效率存在巨大差异; 4.企业所在地区的产业结构和整体创新环境在提高钢铁企业技术创新效率方面发挥着重要促进作用; 5.增加生产能力集中,提高技术创新过程中的创新和资源配置,以及优化区域产业结构和区域创新环境,是有效提高钢铁企业技术创新效率的有效途径。

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