地方高校科技创新全要素生产率变化趋势及其影响因素——基于分布滞后效应

Evaluation on the Changing Trend and Influencing Factors of TFP about S&T Innovation of Local Universities——Based on Distributing Lag Effect

基于分布滞后效应,运用DEA-Malmquist指数法分析2002—2011年我国27个省区地方高校科技创新全要素生产率的演化规律、收敛性及影响因素。结果表明:全国全要素生产率增长较缓慢,多数省区全要素生产率主要受技术进步变动影响,西部高于东中部地区;全国和中部地区绝对/3收敛和条件/3收敛效应显著,东西部地区仅条件/3收敛效应显著;高级职称人员和企事业单位经费投入对全国地方高校科技创新全要素生产率有显著促进作用。

Based on distributing lag effect and the input and output panel data from 27 provinces and cities in China from 2000-- 2011, an empirical analysis on the total factor productivity about scientific and technology innovation of local universities and its convergence and influence factors are conducted by using the Data Envolopment Analysis（ DEA）-Malmquist model. The results are as follows ： we found that the average total factor productivity follows a slow growth trend and technological progress is the source of this improvement for most provinces and cities. The western region has higher total factor productivity than that for the eastern and central region. The whole country and middle region have the absolute and conditional convergence. The conditional convergence of the eastern and western region is remarkable; however, the absolute convergence is not obvious. The senior staff and enterprise investment have the positive influence on the total factor productivity of science and technology innovation of local universities in China.