中国省际数字经济核心产业集聚度、非平衡性与动态演进

Agglomeration Degree,Disequilibrium and Dynamic Evolution of the Core Industries of China’s Inter-provincial Digital Economy

文章在测算2012—2017年中国省际数字经济核心产业规模的基础上,采用区位熵对各省份数字经济核心产业集聚度进行了测算,使用核密度估计、Dagum基尼系数及探索性空间分析方法,分析了各省份数字经济核心产业集聚度的动态演进历程、地区差异及空间效应。研究发现:中国数字经济核心产业规模不断扩大,多数省份数字经济核心产业集聚度不断提升;从演进历程来看,东部地区呈现集聚度减小趋势,中西部地区呈现集聚度上升趋势,数字经济核心产业集聚度分化程度有所改善,但整体分化格局并未扭转,区域间差异是导致我国数字经济核心产业集聚度产生地区差异的主要原因;省际数字经济核心产业集聚度空间分布情况较为稳定,东部地区沿海省份呈现高值集聚,中西部地区多数省份呈现低值集聚,少数省份异军突起,与邻近省份表现出极化效应,呈现高低集聚趋势。

On the basis of estimating the scale of the core industries of China’s inter-provincial digital economy from 2012 to 2017,this paper uses location entropy to estimate the agglomeration degree of the core industries of digital economy in each province,and then uses kernel density estimation,Dagum Gini coefficient and exploratory spatial analysis methods to analyze the dynamic evolution,regional differences and spatial effects of the agglomeration degree of the core industries of digital economy in each province.The research findings are as follows:The core industries of China’s digital economy have continuously expanded in scale,and the agglomeration degree has been increasing in most provinces.From the perspective of evolution,the eastern region shows a decreasing trend of agglomeration degree,and the central and western region show an increasing trend of agglomeration degree.The differentiation degree of core industries of digital economy improves somewhat,but the overall differentiation pattern does not reverse.Regional differences are the main reason for the regional differences of core industries of digital economy in China.The spatial distribution of the agglomeration degree of the core industries of the inter-provincial digital economy is relatively stable;the coastal provinces in the eastern region show a high value agglomeration;the majority of provinces in the central and western regions show a low value agglomeration;a few provinces suddenly rise,and the neighboring provinces show a polarization effect,presenting a high and low agglomeration.