Scientific and Technological Innovation Efficiency and Influencing Factors in China:Based on DEA-Tobit Model
Based on national provincial panel data from 2016 to 2021,the DEA(data envelopment analysis)and Malmquist modelswere used to measure the static and dynamic efficiency of China's technological innovation,and the Tobit model was used to analyze the factors affecting innovation efficiency.The results show that the overall level of China's technological innovation efficiency is low.The efficiency values of the six administrative regions from high to low are:Northeast,Northwest,East China,Southwest China,Central South China,and North China.China's technological innovation Malmquist index as a whole has been in a growth state from 2016 to 2021.The average Malmquist index of the six administrative regions from high to low in the measurement period is:North China,Central South China,Northwest China,East China,Southwest China,and Northeast China.Only the Northeast District's technological innovation total factor productivity is in a state of decline.Government support,the degree of development of the technology market,and the level of openness are positively correlated with technological innovation efficiency.
technological innovation efficiencyinfluencing factorsDEA(data envelopment analysis)-Malmquist indexDEA(data envelopment analysis)-Tobit model
万方数据
