摘要
为推动区域协调发展和新质生产力的均衡布局,本文基于K-means聚类分析和随机森林算法测算了2012—2022年中国30个省份的新质生产力发展水平,采用社会网络分析方法系统地研究了中国省域新质生产力空间网络的动态演进特征,并结合文本分析和QAP回归模型探讨了省域新质生产力空间网络差异的驱动因素。研究发现:中国新质生产力整体上呈上升趋势,但区域间发展不均衡问题突出,呈现出东强西弱的特点;在空间分布上,省域新质生产力空间网络的复杂度逐年增加,网络关联和互动不断增强,其中东部沿海省份始终处于核心区域,中部省份逐渐进入核心区,而东北地区始终处于边缘区域。此外,QAP回归结果显示,加强技术进步、提高人力资本素质和有效利用数据要素可以显著提升省域新质生产力水平,推动区域经济的协调和可持续发展。
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 combining 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 characteristics of strength in the east and weakness in the west;in terms of spatial distribution,the complexity of the spatial network of new quality productivity in the provincial area has increased year by year,and the network linkages and interactions 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 effectively utilizing data elements can significantly raise the level of new quality productivity in the province and promote the coordinated and sustainable development of the regional economy.
作者
魏峰
范晓凯
Wei Feng;Fan Xiaokai(School of Big Data and Statistics,Anhui University,Hefei 230601,Anhui,China)
出处
《金融发展研究》
北大核心
2024年第9期14-24,共11页
Journal Of Financial Development Research
基金
国家社会科学基金面上项目“基于马克思劳动生产力理论的技术进步测度方法研究”(19BJL004)。
关键词
新质生产力
随机森林算法
社会网络分析
文本分析方法
QAP
new quality productive forces
random forest algorithm
social network analysis
text analysis method
QAP
