Research on the Difference of Regional Financial Agglomeration in Shandong Province of China

DOI

10.2991/iceemr-18.2018.124How to use a DOI?

Keywords

financial agglomeration, financial entropy, Gini coefficient, Theil index

Abstract

With the continuous deepening of the financial system reform, the degree of financial agglomeration has become an important symbol of economic development and has an irreplaceable impact on economic growth. Therefore, this paper selects the data of Shandong Province from 2004 to 2016, and calculates the financial concentration degree of “two circles and four areas” in Shandong Province by means of Financial Entropy Index and Theil Index, The conclusion is that the degree of financial agglomeration in the Jinan metropolitan area and Qingdao metropolitan area is high, and the financial entropy coefficient is greater than 1 in the statistical year. Subsequently, through analysis, we found that the average level of the intra-regional differences was 0.135, and the average level of inter-regional differences was 0.0819. It was concluded that the difference in financial agglomeration within the region had a great influence on the total variance.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Ruibo Liu
AU  - Xi Zhang
PY  - 2018/06
DA  - 2018/06
TI  - Research on the Difference of Regional Financial Agglomeration in Shandong Province of China
BT  - Proceedings of the 2018 2nd International Conference on Education, Economics and Management Research (ICEEMR 2018)
PB  - Atlantis Press
SP  - 522
EP  - 526
SN  - 2352-5398
UR  - https://doi.org/10.2991/iceemr-18.2018.124
DO  - 10.2991/iceemr-18.2018.124
ID  - Liu2018/06
ER  -