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Yan-guang, C. H. E. N. 2009. Reconstructing the mathematical process of spatial autocorrelation based on Moran’s statistics. Geographic Study, 28(6), 1449-1463.

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Article

Herfindahl Index Methods and Special Analysis for Regional Competitiveness Inequality Evaluation

1Faculty of Data Science, City University of Macau, Macau, China

2Department of Big Data and Artificial Intelligence, Zhuhai Institute of Advanced Technology Chinese Academy of Sciences, China;School of Computer, Beijing Institute of Technology, Zhuhai, China

3School of Finance, Golden Gate University, San Francisco, California, United States

4Faculty of Finance, City University of Macau, Macau, China


Journal of Finance and Accounting. 2022, Vol. 10 No. 1, 15-22
DOI: 10.12691/jfa-10-1-3
Copyright © 2022 Science and Education Publishing

Cite this paper:
Han Wang, Weicheng Guo, Xueying Zou. Herfindahl Index Methods and Special Analysis for Regional Competitiveness Inequality Evaluation. Journal of Finance and Accounting. 2022; 10(1):15-22. doi: 10.12691/jfa-10-1-3.

Correspondence to: Xueying  Zou, Faculty of Finance, City University of Macau, Macau, China. Email: D20092100037@cityu.mo; xueyingzou@outlook.com

Abstract

In this study, based on Herfindahl Index and special analysis, a deep exploration on competitiveness regional inequality has been performed geographically and statistically. The tool of Geoda is utilized in this paper. Findings indicated that the comprehensive competitiveness of this area exhibits a growing trend with an eastward developing tendency over time. Cities of Hong Kong, Shenzhen, Guangzhou are defined as the first-tier cities of competitiveness, with great advantages in the aspects of science and technology, economic capacity and international competition. Considering its partial advantages and regional influence, this study regards Macau as the second-tier city, Dongguan and Huizhou as the third-tier cities, Zhaoqing as the fourth-tier cities, and Zhuhai, Foshan, Jiangmen and Zhongshan as the fifth-tier cities. First-tier and second-tier cities are in a line dividing the rest cities into two group, the right group of cities show a higher competitiveness level than the left ones. Besides, a low-low local autocorrelation of comprehensive competitiveness is discovered between Guangzhou, Foshan and their adjacent cities. Due to the unevenness of the cities’ development at multiple determining factors, regional inequalities of this area will possibly exist for a long period of time.

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