Analysis of the Dynamic Evolution of the Spatial Network Structure and Driving Forces of New Quality Productivity in China's Provincial Areas
In order to promote coordinated regional development and balanced layout of new quality productivity,this paper measures the development level of new quality productivity of 30 provinces in China from 2012 to 2022 based on K-means cluster analysis and Random Forest algorithm,and systematically researches the dynamic evolution characteristics of the spatial network of new quality productivity in Chinese provinces by using social network analysis,and explores the driving factors of the differences in spatial network of provincial new quality productivity by combin-ing with textual analysis and QAP regression model.The study finds that:China's new quality productivity is on an overall upward trend,but the problem of uneven development between regions is prominent,showing the characteris-tics of strength in the east and weakness in the west;in terms of spatial distribution,the complexity of the spatial net-work of new quality productivity in the provincial area has increased year by year,and the network linkages and inter-actions have continued to grow,with the eastern coastal provinces always being in the core area,the central provinces gradually moving into the core area,and the northeast area always being in the peripheral area.In addition,the QAP regression results show that strengthening technological progress,improving the quality of human capital and effective-ly utilizing data elements can significantly raise the level of new quality productivity in the province and promote the co-ordinated and sustainable development of the regional economy.
new quality productive forcesrandom forest algorithmsocial network analysistext analysis methodQAP
万方数据
维普
