| 智能制造企业技术创新效率及其影响因素研究 |
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| 引用本文： | 楼旭明,徐聪聪.智能制造企业技术创新效率及其影响因素研究[J].科技管理研究,2020,40(4):1-7. |
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| 作者姓名： | 楼旭明 徐聪聪 |
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| 作者单位： | 西安邮电大学经济与管理学院,陕西西安,710061 |
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| 基金项目： | 国家自然科学基于核心信息技术的交叉创新机理与测度研究(71804147) |
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| 摘 要： | 以2013—2017年我国智能制造上市企业相关数据为研究样本,首先运用数据包络分析(DEA)交叉效率模型对样本企业的技术创新效率进行测度分析,其次通过Tobit回归模型分析影响企业技术创新效率的因素及程度。实证研究结果表明:我国智能制造上市企业之间技术创新效率差距较大且整体效率偏低,年平均效率集中在0.35～0.4之间,但随着时间推移,整体呈上升趋势;甄别影响因素发现,企业偿还能力、企业盈利能力、企业营运能力、企业规模和智能制造领域核心产业的市场规模对企业技术创新效率均有正向影响,其中企业运营能力影响显著,而企业规模影响较小。最后就提高我国智能制造企业技术创新效率提出3点建议。
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| 关 键 词： | 智能制造企业 技术创新效率 DEA交叉效率模型 Tobit回归模型 |
| 收稿时间： | 2019/3/28 0:00:00 |
| 修稿时间： | 2020/2/6 0:00:00 |
The Research on the Technological Innovation Efficiency and its Influencing Factors of the Intelligent Manufacturing Enterprises |
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| Abstract: | Based on the relevant data of intelligent manufacturing listed enterprises from 2013 to 2017. firstly,the technological innovation efficiency of listed companies is measured and analyzed by using DEA cross-efficiency model. Secondly, the factors that affect the efficiency of technological innovation and its degree are analyzed by using the Tobit regression model. The empirical results show that the technological innovation efficiency gap between intelligent manufacturing enterprises is large and on the low level as a whole. The annual average efficiency is concentrated between 0.35 and 0.4, but there is an upward trend over time. It is found that enterprise repayment ability,enterprise profit ability,enterprise operation ability,enterprise size and the market scale of the core industry in the field of intelligent manufacturing have a positive effect on the efficiency of technological innovation. Among them, the operation ability of the enterprise has a significant impact, while the size of the enterprise has a small impact. Finally, three suggestions are put forward to improve the technological innovation efficiency of intelligent manufacturing enterprises. |
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