Study on the Efficiency Evaluation and Influencing Factors of Transformation of Scientific and Technological Achievements in China Provincial Regions——Based on the Super-efficient SBM-Malmquist-Tobit Model
[Research purpose]To improve the efficiency of provincial scientific and technological achievements transformation is of great significance for improving the national scientific and technological development level and competitiveness.[Research method]Taking 31 provincial regions of China as the research object,the SBM-Malmquist model was used to analyze the static and dynamic transformation efficiency of provincial scientific and technological achievements,combined with the Tobit regression model to analyze the factors affecting the transformation efficiency of scientific and technological achievements.[Research conclusion]The transformation efficiency of scientific and technological achievements in China's provinces is good on the whole,showing a trend of"Central＞Eastern＞Western＞Northeast"among regions,and there is a large difference among different regions.The growth of the transformation efficiency of scientific and technological achievements in China is mainly due to technological progress,and the driving effect of technological progress on the transformation efficiency offsets the influence of the change of technological efficiency and the change of scale efficiency.Market demand and regional industrial structure have a significant positive effect on the transformation efficiency of scientific and technological achievements,while the economic development level and financial support have no significant influence on the transformation efficiency of scientific and technological achievements.In order to promote the improvement of the transformation efficiency of scientific and technological achievements,it is still necessary to make efforts from the aspects of regional coordination,input-output structure optimization and technological progress.
transformation of scientific and technological achievementsefficiencySBM modelMalmquist indexinfluencing factors
国家科技期刊平台
NSTL
万方数据
