统计与决策2025，Vol.41Issue(13)：11-16,6.DOI:10.13546/j.cnki.tjyjc.2025.13.002
制造业新质生产力发展水平的统计测度、演进态势与空间关联
Statistical Measurement,Evolution Trends and Spatial Correlation of New Quality Productivity Development Level in Manufacturing Industry
摘要
Abstract
New quality productivity,as the core driving force for high-quality development of the manufacturing industry,is of great significance for accelerating the building of a manufacturing power.From the perspective of systems theory,this paper constructs a comprehensive evaluation index system encompassing three dimensions—factor characteristics,structural optimiza-tion,and functional orientation,and then uses the entropy weight method to measure the development level of new quality produc-tivity in Chinese provinces from 2014 to 2023.Finally,the paper analyzes their spatiotemporal evolution and spatial correlation characteristics by employing Dagum Gini coefficient,kernel density estimation,Moran's Index,and social network analysis.The findings are as follows:First,the overall development level of new quality productivity in manufacturing has steadily increased,but notable disparities persist across regions,with inter-regional differences being the dominant source.Second,the spatial distribu-tion of development level of new quality productivity in manufacturing exhibits significant positive correlation,characterized by high-high agglomeration in the eastern region and low-low agglomeration in the central,western,and northeastern regions,reflect-ing a clearly differentiated development pattern.Third,its spatial correlation network structure tends to be compact.The eastern region continues to play a core leading role,and the collaborative capabilities of the central and western regions are constantly en-hanced.关键词
制造业/新质生产力/系统测度/演进态势/空间关联Key words
manufacturing industry/new quality productivity/systematic measurement/evolution trends/spatial correlation分类
管理科学引用本文复制引用
黄令..制造业新质生产力发展水平的统计测度、演进态势与空间关联[J].统计与决策,2025,41(13):11-16,6.基金项目
重庆市教育委员会科学技术研究计划项目(KJQN202402003) （KJQN202402003）
