中国省域科技创新发展效率分析——基于SBM-DEA四阶段模型

利用改进的SBM-DEA四阶段模型,通过Tobit回归对松弛量进行测度,修正环境变量对效率测度的影响后,对中国30个省区市2019年的科技创新效率进行评估.研究结果表明,在对外生环境变量进行修正后,绝大多数省区市的科技创新效率得到了提升,全国不同省区市效率提升幅度不同,东部、中部和西部地区的效率排名发生了变化.这也进一步表明,环境变量对科技创新效率影响显著,政府、企业、高校以及科研机构应从自己角度出发,尽力建设完善的科技创新新体系.

Analysis on the Development Efficiency of Provincial Science and Technology Innovation in China: Based on SBM-DEA four stage model

Based on the improved four stage model of SBM-DEA,measures the slack by Tobit regression, and then evaluates the scientific and technological innovation efficiency of 30 provinces and cities in China in 2019 after correcting the impact of environmental variables on efficiency measurement.The results show that: after modifying the exogenous environment variables, the efficiency of science and technology innovation in most provinces and cities has improved, the efficiency of different provinces and cities in China has improved in different degrees, and the efficiency ranking of Eastern, central and western regions has changed.This further shows that environmental variables have a significant impact on the efficiency of scientific and technological innovation, and the government, enterprises, universities and scientific research institutions should try their best to build a perfect new system of scientific and technological innovation from their own point of view.