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 Scientific and Technological Achievements Commercialization Policies in China:Based on PMC Index Model

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中国省域科技成果转化政策水平,为省级区域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。基于2015年以来我国省域科技成果转化政策包含的高频词,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评价指标体系,结合PMC指数模型对省域科技成果转化政策文本进行量化评价。结果显示:我国30个省份科技成果转化政策的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个方面共性问题。由此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。

Policies for the commercialization of scientific and technological achievements require adequate and effective policy system support.The quantification of policy texts can provide reference for the formulation and improvement of policies,and promote the precise development of policies for the commercialization of scientific and technological achievements.By constructing a multi-dimensional evaluation index system to evaluate the level of provincial scientific and technological achievements transformation policies in China,this research provides reference for provincial governments to further optimize scientific and technological achievements transformation policies and promote the smooth commercialization of scientific and technological achievements.Based on the high-frequency words of provincial scientific and technological achievements transformation policies in China since 2015,the evaluation index system of science and technology achievement transformation policy,which includes 9 first-level indicators and 42 second-level indicators,is constructed,and the provincial science and technology achievement transformation policy text is quantitatively evaluated by PMC index model.The results show that the average PMC index of provincial of 30 provinces,autonomous regions,and municipalities directly under the Central Government in China is 7.57 points,and the overall policy is at a good level.However,there are still five common problems:uneven structure of policy tools,incomplete consideration of policy perspectives,insufficient content of policy objectives,simplification of policy objects,and imperfect policy guarantee means.Targeted suggestions are put forward such as optimizing the structure of policy tools,broadening policy perspectives,improving policy objectives,enriching policy objects,and improving policy guarantee means.