DOI QR코드

DOI QR Code

QR코드 수수료율이 중국 상업은행에 미치는 영향

The Effect of the QR Code Commission Rate on Commercial Banks in China

  • 투고 : 2022.04.02
  • 심사 : 2022.05.20
  • 발행 : 2022.05.28

초록

중국에서는 위챗페이, 알리페이 등 제3자 결제가 활발해지면서 은행의 전통적인 비지니스가 큰 충격을 받고 있다. 은행은 가맹점에 QR코드 결제를 권장할 수 있고 확대할 수 있다. 따라서 은행의 QR코드 업무를 분석하고 연구하는 것은 의미가 있다. 본 연구는 결제 사이클과 FTP(Funds Transfer Pricing)를 조합한 통합결제 QR코드의 제로 수수료율의 실행이 중국 상업은행에 미치는 영향을 분석하는 것을 목적으로 한다. 본 연구는 수작업으로 수집한 중국 상업은행의 고객 데이터를 기초로, 재무 지표 산출 방법을 활용하여 사례 분석을 진행하였다. 연구결과, 상업은행은 통합결제 QR코드 제로 수수료율 정책의 도입은 이점이 단점보다 더 큰 것으로 나타나 해당 정책을 지속적으로 시행할 필요가 있다는 것이 밝혀졌다. 본 연구는 상업은행의 마케팅 의사결정에 중요한 역할을 하는 오프라인 결제 시장을 빠르게 점유할 수 있는 방법에 대해 실현 가능한 제안을 제공하였다.

In China, with the rise of third-party payments such as WeChat Pay and Alipay, the traditional business of banks has been greatly affected. Banks can encourage and expand QR code payments to merchants. Therefore, it is meaningful to analyze and study the QR code work of banks. The purpose of this study is to analyze the effect of the execution of the zero-rate of the comprehensive payment QR code combined with the payment cycle and Funds Transfer Pricing (FTP) on commercial banks in China. Based on the manually collected customer data of Chinese commercial banks, this paper conducts a case analysis combined with the calculation method of financial indicators. As a result of the study, it was found that commercial banks need to continue to implement the policy as the advantages of introducing the integrated QR code fee rate 0 policy are greater than the disadvantages. This paper provides feasible suggestions on how to quickly occupy the offline payment market for commercial banks, which has guiding significance for commercial banks' marketing decisions. Presently, there are few studies on the zero-rate subsidy policy implemented by Chinese commercial banks.

키워드

참고문헌

  1. F. Liebana-Cabanillas, I. Garcia-Maroto, F. Munoz-Leiva & I. Ramos-de-Luna (2020). Mobile payment adoption in the age of digital transformation: The case of apple pay. Sustainability, 12(13), 5443. https://doi.org/10.3390/su12135443
  2. S. D. Kim, P. Park & S. B. Yang (2017). Influencing factors on users' resistance to the mobile easy payment services: Focusing on the case of Kakaopay users. Journal of Information Technology Services, 16(2), 139-156. https://doi.org/10.9716/KITS.2017.16.2.139
  3. M. Yao, H. Di, X. Zheng & X. Xu (2017). Impact of payment technology innovations on the traditional financial. Technological Forecasting & Social Change, 135, 199-207. https://doi.org/10.1016/j.techfore.2017.12.023
  4. T. Dahlberg, N. Mallat, J. Ondrus & A. Zmijewskac (2008). Past, present and future of mobile payments research: A literature review. Electronic Commerce Research and Applications, 7(2), 165-181. https://doi.org/10.1016/j.elerap.2007.02.001
  5. P. G. Schierz, O. Schilke & B. W. Wirtz (2010). Understanding consumer acceptance of mobile payment services: An empirical analysis. Electronic Commerce Research and Applications, 9(3), 209-216. https://doi.org/10.1016/j.elerap.2009.07.005
  6. N. Mallat (2007). Exploring consumer adoption of mobile payments: A qualitative study. The Journal of Strategic Information Systems, 16(4), 413-432. https://doi.org/10.1016/j.jsis.2007.08.001
  7. E. Li, Y. He & Y. Li (2020). A study on influencing factors and decision-making process of mobile payment merchant adoption. Management Review, 32(6), 184-195. https://doi.org/10.14120/j.cnki.cn11-5057/f.2020.06.014
  8. C. Arango, P. H. Kim & L. Sabetti (2015). Consumer payment choice: Merchant card acceptance versus pricing incentives. Journal of Banking & Finance, 55(12), 130-141. https://doi.org/10.1016/j.jbankfin.2015.02.005
  9. A. T. Ching & F. Hayashi (2010). Payment card rewards programs and consumer payment choice. Journal of Banking & Finance, 34(8), 1773-1787. https://doi.org/10.1016/j.jbankfin.2010.03.015
  10. L. Cao (2020). Problems and suggestions on the development of aggregate payment. Cooperative Economy and Technology, 24, 73-75. https://doi.org/10.13665/j.cnki.hzjjykj.2020.24.030
  11. F. Liebana-Cabanillas & J. Lara-Rubio (2017). Predictive and explanatory modeling regarding adoption of mobile payment systems. Technological Forecasting and Social Change, 120, 32-40. https://doi.org/10.1016/j.techfore.2017.04.002
  12. N. Mallat & V. K. Tuunainen (2005, July). Merchant adoption of mobile payment systems. Proceedings of the Fourth International Conference on Mobile Business, Sydney, IEEE. https://doi.org/10.1109/ICMB.2005.58
  13. H. van der Heijden (2002, June). Factors affecting the successful introduction of mobile payment systems. Proceedings of the 15th Bled E-Commerce Conference (pp. 430-443), Bled, Slovenia. https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.111.467&rep=rep1&type=pdf
  14. E. Teo, B. Fraunholz & C. Unnithan (2005, July). Inhibitors and Facilitators for Mobile Payment Adoption in Australia: A Preliminary Study. Proceedings of the Fourth International Conference on Mobile Business, Sydney, Australia: IEEE, https://doi.org/DOI:10.1109/ICMB.2005.47
  15. J. Ondrus & Y. Pigneur (2004, December). Coupling mobile payments and CRM in the retail industry. Proceedings of the IADIS International E-Commerce, Lisbon, Portugal: IADIS. https://staff.cdms.westernsydney.edu.au/~anton/Publications/EC2004_Proceedings.pdf
  16. C. W. Chen (2020). Impacts of third-party payment in an open economy. Australian Economic Papers, 59(1), 34-42. https://doi.org/10.1111/1467-8454.12168
  17. C. Ye (2017). Aggregated payment: The expansion of payment services. Financial Technology Times, 1, 81.
  18. Y. Fang & S. Zhang (2017). The supervision logic and development trend of aggregated payment. China Credit Card, 5, 53-55.
  19. C. Liu (2018). Aggregated payment: New opportunities for commercial banks. Journal of Xiangyang Vocational and Technical College, 17(1), 95-96.
  20. T. Li (2017). Research on the risks and regulatory countermeasures of the development of aggregated payments. Financial Technology Times, 12, 67-70.
  21. Y. Xia (2018). Aggregated payment risk analysis and supervision suggestions. Financial Technology Times, 2, 57-60.
  22. Q. Wei (2006). Research on the implementation of internal funds transfer pricing system in domestic commercial banks. Bank Funds Management, 6, 31-34.
  23. Q. Guo (2021). The enlightenment and application of ftp to the operation and management of similar financial institutions. Enterprise Management, 7(1), 100-102.
  24. J. Maudos, J. M. Pastor, F. Perez & J. Quesada (2002). Cost and profit efficiency in European banks. Journal of International Financial Markets, Institutions and Money, 12(1), 33-58. https://doi.org/10.1016/S1042-4431(01)00051-8
  25. P. Xiao & S. Gao (2015). Marketing analysis of "Fan economy" in social network. Media Management and Management, 10, 118-121.