华侨大学学报(自然科学版)2025,Vol.46Issue(3):319-327,9.DOI:10.11830/ISSN.1000-5013.202411012
福建省大数据产业时空演化与驱动因素分析
Spatio-Temporal Evolution and Driving Factors Analysis of Big Data Industry in Fujian Province
摘要
Abstract
From the perspective of enterprise entities,a keyword based method for identifying enterprises re-lated to the big data industry is constructed.By analyzing the evolution characteristics of enterprise quantity and spatial location,and using methods such as spatial hotspot analysis and the Geodetector,this study exam-ines the spatio-temporal evolution characteristics and driving factors of the big data industry in Fujian Prov-ince.The results show that the number of big data enterprises in Fujian Province has shown a continuous up-ward trend,with the first explosive growth from 2012 to 2016,and the second explosive growth from 2017 to 2021,During these periods,the growth rate of enterprises strongly related to big data exceeds that of weakly related enterprises.In terms of spatial pattern,the clustering of big data industry has gradually evolved from Fuzhou and Xiamen as the"dual core"structure centered to a trend of"multi-point"distribution.Quanzhou is emerging as the third major core clustering area of big data industry in Fujian Province.The spatial clustering characteristics of the big data industry in Fujian Province are gradually increasing,with the global Moran's in-dex growing from 0.171 in 2008 to 0.237 in 2021,the"siphon effect"of the Fuzhou and"Xiamen-Zhangzhou-Quanzhou"metropolitan areas is becoming increasingly evident.The foundation of information technology tal-ent,government innovation investment,and policy support intensity have a significant driving effect on the de-velopment of the big data industry.关键词
大数据产业/时空演化/驱动因素/福建省/数字经济Key words
big data industry/spatio-temporal evolution/driving factors/Fujian Province/digital economy分类
经济学引用本文复制引用
赵志远,魏汉铭,胡慧芳,吴升..福建省大数据产业时空演化与驱动因素分析[J].华侨大学学报(自然科学版),2025,46(3):319-327,9.基金项目
国家自然科学基金资助项目(42201500) (42201500)
福建省创新战略研究项目(2022R0013) (2022R0013)