Assessing Market Competition in the Chinese Banking Industry Based on a Conjectural Variation Model

Published date01 March 2021
AuthorXiangyi Zhou,Zheng Pei,Botao Qin
Date01 March 2021
DOIhttp://doi.org/10.1111/cwe.12371
©2021 Institute of World Economics and Politics, Chinese Academy of Social Sciences
China & World Economy / 73–98, Vol. 29, No. 2, 2021 73
*Xiangyi Zhou (corresponding author), Associate Professor, Jinhe Center for Economic Research, Xi’an
Jiaotong University, China. Email: marton@mail.xjtu.edu.cn; Zheng Pei, Postgraduate Student of Industrial
Economics, Antai College of Economics and Management, Shanghai Jiaotong University, China. Email:
zornpei@126.com; Botao Qin, Assistant Professor, Jinhe Center for Economic Research, Xi’an Jiaotong
University, China. Email: bqinecon@mail.xjtu.edu.cn. The authors are grateful for the helpful comments from
Sherrill Shaffer, Long Shi, Tay-Cheng Ma, Yusen Kwoh, Weihong Zeng, Xiaodong Chen, Shengliang Ji, and
Yifan Zhou. Xiangyi Zhou acknowledges fi nancial support from the Chinese Fundamental Research Funds for
the Central Universities (No. SK2020053).
Assessing Market Competition in the Chinese Banking
Industry Based on a Conjectural Variation Model
Xiangyi Zhou, Zheng Pei, Botao Qin*
Abstract
Most literature on market competition in the banking industry neglects to address
strategic interaction among banks. This paper studies interaction among Chinese banks
by dividing banks into two groups: dominant banks (the “Big 5” state-owned banks) and
small- and medium-sized banks (joint-stock banks and large city commercial banks). We
test an oligopolistic model with conjectural variation developed by Spiller and Favaro
(1984). Using data from 2007 to 2016, we fi nd that banking competition is not in the form
of Stackelberg competition per se. Some strategic interactions exist between small- and
medium-sized banks and the largest state-owned bank. We also study the effect of interest
rate deregulation on oligopolies’ strategic interactions. Our results show that interest
rate deregulation stimulates banking competition by reducing collusiveness among the
dominant state-owned banks and enhancing the market power of small and medium banks.
Key words: banking industry, conjectural variation, interest rate deregulation, market
structure
JEL codes: G21, L10, P34
I. Introduction
The degree of market competition in the banking industry has always been of interest to
researchers (Shaffer, 1993; Bikker et al., 2012; Shaffer and Spierdijk, 2015). However,
few studies have addressed strategic interaction among banks. The Chinese banking
industry is concentrated, with a small number of dominant state-owned banks (the so-
called “Big 5”). There are also 12 medium-sized joint-stock commercial banks and
Xiangyi Zhou et al. / 73–98, Vol. 29, No. 2, 2021
©2021 Institute of World Economics and Politics, Chinese Academy of Social Sciences
74
numerous city-level commercial banks. The question is whether dominant state-owned
banks engage in strategic interactions that differ from those of small banks.
The interest rates that Chinese banks can charge for loans are undergoing
deregulation. Both deposit and loan interest rates were heavily regulated by the People’s
Bank of China (PBC), which is China’s central bank. However, the PBC started a
deregulation process in recent years and has allowed banks to set their own loan interest
rates since 2013. A second question is thus how interest rate deregulation affects China’s
banking competition.
Motivated by these two research questions, we use an oligopolistic conjectural
variation model developed by Spiller and Favaro (1984) to test the competition among
the dominant state-owned banks (SOBs) and the small- and medium-sized banks (SMBs).
We fi nd that: (i) Banking competition is not in the form of Stackelberg competition per
se. Some strategic interactions exist between SMBs and the largest state-owned bank. (ii)
Interest rate deregulation reduces collusive behavior among SOBs, enhances the market
power of SMBs, and increases market competition. Our fi ndings support policy reform
to liberate bank loan interest rates.
Most of the literature that focuses on the market structure of the Chinese banking
industry uses the Panzar–Rosse model. The H statistic is usually interpreted as
a measure of market power. Specifically, H = 1 indicates a long-run competitive
equilibrium; H < 1 indicates the existence of monopoly power; and 0 < H < 1 indicates
monopolistic competition (Panzar and Rosse, 1987). Most studies that employ the
Panzar–Rosse model find that the Chinese banking industry is close to monopolistic
competition (Fu and Heffernan, 2009; Masood and Sergi, 2011), although some fi nd it to
be near perfect competition (Yuan, 2006). However, recent literature raises doubts about
the validity of the Panzar–Rosse test. Both theoretical and empirical studies show that
neither the sign nor the magnitude of H can reliably indicate anything about the degree
of market power (Bikker et al., 2012; Shaffer and Spierdijk, 2015). Another branch of
literature that tests market competition uses the Bresnahan–Lau model (Bresnahan,
1982, 1989; Lau, 1982). One study that employs this model to investigate the Chinese
banking industry finds that the market is near perfect competition (Qin and Shaffer,
2014). The third branch of literature on market competition uses the Bonne indicator
(Bonne, 2008). Fang et al. (2019) use the Bonne indicator and find that competition
in the deposit market, loan market, and noninterest income market was stronger over
the periods of 2003–2005 and 2014–2017. Tan (2017) uses the Boone indicator and
finds that the noninterest income market has a higher level of competition than the
deposit market and loan market. Xu et al. (2016) use the profi t elasticity (PE) approach
developed by Bonne (2008) and show that competition has actually increased over the

Get this document and AI-powered insights with a free trial of vLex and Vincent AI

Get Started for Free

Unlock full access with a free 7-day trial

Transform your legal research with vLex

  • Complete access to the largest collection of common law case law on one platform

  • Generate AI case summaries that instantly highlight key legal issues

  • Advanced search capabilities with precise filtering and sorting options

  • Comprehensive legal content with documents across 100+ jurisdictions

  • Trusted by 2 million professionals including top global firms

  • Access AI-Powered Research with Vincent AI: Natural language queries with verified citations

vLex

Unlock full access with a free 7-day trial

Transform your legal research with vLex

  • Complete access to the largest collection of common law case law on one platform

  • Generate AI case summaries that instantly highlight key legal issues

  • Advanced search capabilities with precise filtering and sorting options

  • Comprehensive legal content with documents across 100+ jurisdictions

  • Trusted by 2 million professionals including top global firms

  • Access AI-Powered Research with Vincent AI: Natural language queries with verified citations

vLex

Unlock full access with a free 7-day trial

Transform your legal research with vLex

  • Complete access to the largest collection of common law case law on one platform

  • Generate AI case summaries that instantly highlight key legal issues

  • Advanced search capabilities with precise filtering and sorting options

  • Comprehensive legal content with documents across 100+ jurisdictions

  • Trusted by 2 million professionals including top global firms

  • Access AI-Powered Research with Vincent AI: Natural language queries with verified citations

vLex

Unlock full access with a free 7-day trial

Transform your legal research with vLex

  • Complete access to the largest collection of common law case law on one platform

  • Generate AI case summaries that instantly highlight key legal issues

  • Advanced search capabilities with precise filtering and sorting options

  • Comprehensive legal content with documents across 100+ jurisdictions

  • Trusted by 2 million professionals including top global firms

  • Access AI-Powered Research with Vincent AI: Natural language queries with verified citations

vLex

Unlock full access with a free 7-day trial

Transform your legal research with vLex

  • Complete access to the largest collection of common law case law on one platform

  • Generate AI case summaries that instantly highlight key legal issues

  • Advanced search capabilities with precise filtering and sorting options

  • Comprehensive legal content with documents across 100+ jurisdictions

  • Trusted by 2 million professionals including top global firms

  • Access AI-Powered Research with Vincent AI: Natural language queries with verified citations

vLex

Unlock full access with a free 7-day trial

Transform your legal research with vLex

  • Complete access to the largest collection of common law case law on one platform

  • Generate AI case summaries that instantly highlight key legal issues

  • Advanced search capabilities with precise filtering and sorting options

  • Comprehensive legal content with documents across 100+ jurisdictions

  • Trusted by 2 million professionals including top global firms

  • Access AI-Powered Research with Vincent AI: Natural language queries with verified citations

vLex