| “十二五”以来中国创新政策效果评价与政策启示 |
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| 引用本文： | 张静雨,张继彤.“十二五”以来中国创新政策效果评价与政策启示[J].科技管理研究,2021,41(13):17-24. |
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| 作者姓名： | 张静雨 张继彤 |
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| 作者单位： | 南京师范大学商学院,江苏南京 210023 |
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| 基金项目： | 《面向“十四五”的科技创新政策研究》（BR2019050） |
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| 摘 要： | 构建过程导向的因子理想关联评价模型和结果导向的三阶段DEA效率评价模型,对"十二五"以来的创新政策效果做评估,发现2010-2018年科技创新政策整体是有效的,但主要影响因子存在地区差距较大、有效性波动等问题;政策效果出现东西差距缩小、南北差距拉大、东北明显落后、中西部依赖性强等特点;创新效率由中心城市到经济圈再到其他地区递减.检验近年创新政策实施效果,对制定"十四五"创新政策有重要的参考价值.
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| 关 键 词： | 双向政策评价体系 创新政策效率 因子分析法 理想关联法 三阶段DEA |
| 收稿时间： | 2020/10/25 0:00:00 |
| 修稿时间： | 2020/11/16 0:00:00 |
Evaluation on the Effectiveness of Science and Technology Innovation Policy - Review of Science and Technology Innovation Policy since the 12th Five-Year Plan |
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| Zhang Jingyu,Zhang Jitong.Evaluation on the Effectiveness of Science and Technology Innovation Policy - Review of Science and Technology Innovation Policy since the 12th Five-Year Plan[J].Science and Technology Management Research,2021,41(13):17-24. |
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| Authors: | Zhang Jingyu Zhang Jitong |
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| Abstract: | Innovation policy is an important driving force for building an innovation-oriented country. Testing the implementation effect of innovation policy in recent years has an important reference value for the formulation of innovation policy in the 14th Five-Year Plan period. A process-oriented ideal correlation evaluation model for factors and a result-oriented three-stage DEA efficiency evaluation model were constructed to evaluate the effect of innovation policies since the 12th Five-Year Plan period. It was found that the science and technology innovation policies from 2010 to 2018 were effective as a whole, but the main impact factors had large regional gaps and fluctuating effectiveness. The effect of the policy is characterized by narrowing the gap between the East and the West, widening the gap between the North and the South, obvious backwardness in the Northeast and strong dependence in the Midwest. Innovation efficiency decreases from the central city to the economic circle and then to other regions. The innovation policy of the 14th Five-Year Plan should balance the regional gap and further promote the marketization of the policy. We encourage the eastern region to foster two-way feedback between scientific and technological personnel and the platform, increase investment and migration to talents in the Midwest, give play to the role of central cities, and improve the innovation environment in the Northeast and Western. To improve the utilization efficiency of innovation input, we should establish the industry-university-research self-circulation innovation system |
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| Keywords: | Policy Evaluation Innovation Efficiency Factor Analysis Ideal Correlation Method Three-stage DEA |
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