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Sustainability 2015, 7(12), 16771-16782; doi:10.3390/su71215848

The Spatial Econometric Analysis of China’s Banking Competition and Its Influential Factors

Business School, Sichuan University, Chengdu 610064, China
Academic Editor: Yongrok Choi
Received: 8 October 2015 / Revised: 14 December 2015 / Accepted: 16 December 2015 / Published: 19 December 2015
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Abstract

This paper determines alternative indexes to measure banking competition from the perspective of industrial economics. Spatial correlation of competition in China’s banking environment is studied from the perspective of spatial economics. A spatial panel data model is built to make an empirical study of factors influencing banking competition. The results show that the global autocorrelation test index Moran’s I indicates that China’s banking competition has obvious spatial correlation characteristics and significant spatial clustering. The space LISA map indicates that banking competition in most provinces has the characteristics of spatial dependence, and only a few provinces have the characteristics of spatial heterogeneity. Human capital, economic growth, financial scale of development, and foreign direct investment all have a significant positive effect on improving the degree of banking competition. Government intervention has a significant negative impact on the degree of banking competition, while fixed asset investment has no significant impact on it. View Full-Text
Keywords: human capital; banking competition; spatial econometric analysis; SAR (Spatial Autocorrelation) model human capital; banking competition; spatial econometric analysis; SAR (Spatial Autocorrelation) model
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Li, Y. The Spatial Econometric Analysis of China’s Banking Competition and Its Influential Factors. Sustainability 2015, 7, 16771-16782.

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