The Harmonious Development of Big Data Industry and Financial Agglomeration in Guizhou
Lujing Pang, Mu Zhang
Available Online November 2019.
- https://doi.org/10.2991/dramclr-19.2019.40How to use a DOI?
- Big Data Industry; Financial Agglomeration; Coupling and Coordination; Hesitant Fuzzy Linguistic TOPSIS Method; Hesitant Fuzzy Linguistic PROMETHEE Method
- In order to promote the coordinated development of big data industry and financial agglomeration, according to the characteristics of big data industry and financial agglomeration in Guizhou at this stage, the paper first understands the relevant literature of big data industry and financial agglomeration. Then, using the original data of nine cities in Guizhou from 2013 to 2017, we measure the development level of big data industry and financial agglomeration level of nine cities in Guizhou by using the hesitant fuzzy linguistic TOPSIS method and hesitant fuzzy linguistic PROMETHEE method respectively. Finally, the coupling coordination degree of big data industry and financial agglomeration in nine cities of Guizhou is calculated by using the coupling coordination model, and relevant policy recommendations are put forward. The empirical results show that Guiyang city is moderately coordinated development of big data industry and financial agglomeration, Zunyi city is reluctantly coordinated development, Liupanshui, Bijie and Southwest Guizhou are slightly maladjusted recessions, and the remaining cities are moderately maladjusted recessions. During the sample period, the degree of coupling and coordination between big data industry and financial agglomeration in Guizhou has been continuously improved, but the phenomenon of regional imbalance is more obvious.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Lujing Pang AU - Mu Zhang PY - 2019/11 DA - 2019/11 TI - The Harmonious Development of Big Data Industry and Financial Agglomeration in Guizhou BT - Proceedings of the Fourth Symposium on Disaster Risk Analysis and Management in Chinese Littoral Regions (DRAMCLR 2019) PB - Atlantis Press SP - 33 EP - 38 SN - 1951-6851 UR - https://doi.org/10.2991/dramclr-19.2019.40 DO - https://doi.org/10.2991/dramclr-19.2019.40 ID - Pang2019/11 ER -