中国省域大数据产业与金融集聚耦合协调发展研究[*]

The Harmonious Development of of China's Provincial Big Data Industry and Financial Agglomeration

摘要:

本文基于大数据产业发展与金融集聚的现状和特点，选取中国2013-2017年31个省域的指标原始数据，运用犹豫模糊语言TOPSIS灰色关联投影法对31个省域的大数据产业发展水平和金融集聚水平进行测度，采用耦合协调模型计算大数据产业-金融集聚的耦合协调度。实证结果表明：总体上，31个省域的大数据产业-金融集聚耦合的协调发展类型跨域五个等级，没有最好耦合协调类型，也没有特别差的耦合协调类型；空间上，大数据产业-金融集聚的协调发展程度呈现出东部地区高于中部地区、中部地区高于西部和东北部的总体特征；时间上，耦合协调类型并非一成不变，辽宁的耦合协调类型2013年较2017年比较是下降的，而安徽、湖北、湖南是上升的，总体增速的趋势是升大于将，同时升速略高于降速。

Abstract:

Based on the current situation and characteristics of the development of big data industry and financial agglomeration, this paper selects the original data of 31 provinces in China from 2013 to 2017, measures the development level of big data industry and financial agglomeration level of 31 provinces by using hsitant fuzzy linguistic TOPSIS grey relational projection, and calculates the coupling coordination degree between big data industry and financial agglomeration by using the coupling coordination model. Empirical results show that, on the whole, the coordinated development types of large data industry and financial agglomeration in 31 provinces are five levels across regions, without the best type of coupling and coordination and the worst type of coupling and coordination. Spatially, the coordinated development degree of large data industry-financial agglomeration in the eastern region is higher than that in the central region, the central region is higher than that in the western and northeastern regions. In terms of time, the types of coupling and coordination are not unchanged. The types of coupling and coordination in Liaoning Province decreased in 2013 compared with 2017, while those in Anhui, Hubei and Hunan increased. The overall growth trend is greater than that in general, and the growth rate is slightly higher than that in deceleration.