我国区域科技创新政策的量化评价——基于PMC指数模型

The quantitative evaluation of regional science and technology innovation policy: based on the index of PMC model

摘要:

区域科技创新政策对国家的自主创新战略、区域的经济发展及区域内企业的科技创新能力都产生较大的影响。本文主要针对区域科技创新政策的评价研究,以中关村国家自主创新示范区政策为例,运用PMC指数模型并结合文本挖掘方法对相应的区域科技创新政策进行量化评价,以实现为现有政策提供科学合理的量化评价框架的目的,具有为新一轮政策的实施、调整、修正及延续提供决策支持的意义。实证结果表明政策P2的PMC指数低于其他两项,仍有较大的改善空间,但总体来讲三项政策均在合理范围内。最后,提出了局限性及下一步研究方向。

Abstract:

Regional science and technology innovation policy have important effect on national independent innovation strategy, regional economic development and enterprises science and technology innovation ability which in this area. In this paper, take Zhongguancun Science Park for example, we use the PMC index model combined with the text mining methods to quantitative evaluation on the regional science and technology innovation policy. In order to provide the quantitative evaluation framework for existing policy and decision support for the implementation of the new policy, adjustment, correction, and continue. The empirical results show that PMC index of policy 2 is lower than the other two. Moreover, there is still a larger improvement space, but in general three policies are within a reasonable range. Finally, the limitations and further research direction are proposed.