Measurement,Spatiotemporal Characteristics and Influencing Factors of Development Level of New Quality Productive Forces at the Provincial Level
This article constructs a comprehensive evaluation index system of the development level of new quality productive forces.Based on the super-efficiency SBM-DEA model,the entropy weight-TOPSIS method,exploratory spatial data analysis methods,and spatiotemporal geographical weighted regression models,it analyzes the evolution characteristics and influencing factors of China's new quality productive forces from 2013 to 2022,and explores the spatiotemporal differences in the impact of different influencing factors.It's found that:1)The development level of new quality productive forces shows an upward trend,with a spatial distribution pattern of"high in the east of China and low in the west of China",and significant spatial differences in the level of new quality productive forces.2)The development of new quality productive forces exhibits significant positive spatial autocorrelation and spatial clustering,with high-high clustering areas mainly located in the eastern coastal regions and low-low clustering areas mainly in the western regions.The absolute spatial differences in new quality productive forces have expanded in recent years.3)Economic,educational,policy,and resource factors influence new qualitative productivity.Domestic economic development levels,foreign trade levels,overall educational investment levels,higher education development levels,and the overall policy focus have a positive impact on new qualitative productivity,while the availability of water resources and mineral resources has an overall negative impact.Additionally,the influence of various factors varies across time and space.
new quality productive forceshigh-quality developmentscientific and technological productivitygreen productivitydigital productivityeducation
NETL
NSTL
万方数据
