基于PMC指数模型的中国省域科技成果转化政策量化评价分析

Quantitative evaluation of provincial science and technology achievement transformation policy——based on PMC index model

摘要:

科技成果转化政策需要充分且有效的政策体系支持，政策文本量化能为政策的制定与完善提供参考，促进科技成果转化政策精准发力。通过构建多维度评价指标体系评价我国省域科技成果转化政策水平，为省级政府进一步优化科技成果转化政策、促进科技成果顺利转化提供参考。运用PMC指数模型方法，基于2015年以来我国省域科技成果转化政策高频词，构建包括9个一级指标和42个二级指标的科技成果转化政策水平模型，对省域典型政策进行量化评价。结果显示：省域政策的PMC指数均值为7.57分，整体政策处于良好级别，但还存在政策工具结构不均衡、政策视角考虑不全、政策目标内容欠周、政策客体单一化和政策保障手段不完善等5方面共性问题。提出优化政策工具结构、拓宽政策视角、改进政策目标、丰富政策客体和完善政策保障手段等针对性建议。

Abstract:

The transformation policy of scientific and technological achievements needs sufficient and effective support of the policy system, and the quantification of policy texts can provide references for the formulation and improvement of policies, and promote the precision of the transformation policy of scientific and technological achievements. By constructing multi-dimensional evaluation index system to evaluate the level of provincial science and technology achievements transformation policy, it provides reference for provincial governments to further optimize the policy of science and technology achievements transformation and promote the smooth transformation of science and technology achievements. Using the PMC index model method, based on the high frequency words of provincial S T transformation policy since 2015, a level model of S T transformation policy including 9 first-level indicators and 42 second-level indicators was constructed to quantitatively evaluate the typical provincial policies. The results show that the average PMC index of provincial policies is 7.57 points, and the overall policy is in a good level, but there are still five common problems: unbalanced structure of policy tools, incomplete consideration of policy perspectives, insufficient content of policy objectives, single policy objects and imperfect policy guarantee means. The paper puts forward some specific suggestions on optimizing the structure of policy tools, broadening the perspective of policy, improving policy objectives, enriching policy objects and perfecting policy support means.