江苏省大数据产业空间分布特征分析

Analysis of Spatial Distribution Characteristics of Big Data Industry in Jiangsu Province

数据可以促进传统产业服务个性化,推动企业决策智能化,深入研究大数据产业的空间特征对区域内产业空间结构调整与优化,促进区域数字经济发展有重大意义。运用平均最近邻分析与核密度分析方法研究江苏省市两级大数据产业的空间分布特征。泰州市平均最近邻比率ANN=1.002307,P值=0.9878,接受其空间统计意义的随机集聚;核密度分析下的南京属于高核密度地区,苏州、盐城次之。江苏省大数据产业集聚现象尚未形成,但有加速集聚趋势;长江流域大数据产业连绵区与苏北大数据产业带初现。未来要积极探索江苏省大数据产业发展模式,实现大数据产业的科学布局,促进大数据产业地区间的融合与协同发展。

Data can promote the individualization of traditional industrial services and the intellectualization of enterprise decision-making.It is of great significance to further study the spatial characteristics of big data industry for the adjustment and optimization of regional industrial spatial structure and the development of regional digital economy.The spatial distribution characteristics of big data industries at provincial and municipal levels in Jiangsu Province were studied by means of mean nearest neighbor analysis and nuclear density analysis.The average nearest collar ratio of Taizhou City ANN=1.002307 and P=0.9878 accepted the random aggregation of its spatial statistical significance.According to the nuclear density analysis,Nanjing belonged to a high nuclear density area,followed by Suzhou and Yancheng.Although the agglomeration of big data industry in Jiangsu Province has not been formed yet,it tends to accelerate.The big data industrial zone in the Yangtze River Basin and the big data industrial belt in northern Jiangsu Province are emerging.In the future,we should actively explore the development model of big data industry in Jiangsu Province,realize the scientific layout of big data industry,and promote the integration and coordinated development of big data industry among regions.