| 上海科创引擎企业驱动全球科创中心发展创新效率测度——基于DEA-Tobit模型的实证分析 |
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| 引用本文： | 陈兴海,王亚茹,鲁文霞.上海科创引擎企业驱动全球科创中心发展创新效率测度——基于DEA-Tobit模型的实证分析[J].科技管理研究,2016(10):61-65. |
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| 作者姓名： | 陈兴海 王亚茹 鲁文霞 |
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| 作者单位： | 1. 上海师范大学工程管理系,上海 201418;上海师范大学房地产与城市发展研究中心,上海 200234;2. 上海财经大学公共经济与管理学院,上海 200433;上海师范大学房地产与城市发展研究中心,上海 200234;3. 上海师范大学房地产与城市发展研究中心,上海,200234 |
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| 基金项目： | 国家自然科学基金项目“我国上市公司透明度空间分布的非均衡性及其传染性问题研究”(71573178)，上海市政府决策咨询项目“上海建设全球投资贸易枢纽的路径选择与发展战略”(2015-YJ-C05) |
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| 摘 要： | 使用DEA-Tobit模型,分析上海49家科创类上市企业的科技创新效率,结果发现在2012-2014年这三年中,企业整体创新发展水平有所下降,而且行业发展不平衡,其中新材料和"互联网+"类企业表现相对突出,智慧医疗和核电类企业相对较弱,还有很大发展空间,说明对上海科创企业推进分类指导具有一定的意义。在影响科技效率因素的检验中,发现并非物力和财力投入越多越好,资源之间的匹配度很重要,应防止资源投入错配。
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| 关 键 词： | DEA-Tobit模型 科创引擎企业 全球科创中心 创新效率 |
| 收稿时间： | 2015/8/25 0:00:00 |
| 修稿时间： | 2015/11/4 0:00:00 |
A DEA-Tobit Model for Measuring the Degree of Efficiency of the Engine Enterprise of Shanghai S&T Innovation Driving Development of the Global S&T Innovation Center |
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| Abstract: | The innovation ability of Shanghai S T innovation enterprise is related to the success of construction of the S T innovation center with global influence, and its S T innovation ability and influencing factors is a problem which worthy of further research. As used herein, DEA-Tobit model of science and technology input and output efficiency of 49 S T innovation enterprises were analyzed and found that the overall level has decrease in the years from 2012 to 2014, and industry development is imbalance, the new materials and the "Internet+" companies are relatively prominent, but the enterprises of smarter healthcare and nuclear power are relatively weak, and it has the very big development space, which indicates it is certain significance that promote the classified guidance for Shanghai S T enterprise. In science and technology efficiency factor test, the findings are not human and financial investment in better matching of resources is an important one, and we should prevent the mismatching of resources. |
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| Keywords: | DEA-Tobit model engine enterprise of S&T innovation global S&T innovation center innovation efficiency |
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