IDEAS home Printed from https://ideas.repec.org/a/bpj/jossai/v7y2019i5p399-421n1.html
   My bibliography  Save this article

Coupling Degree Evaluation of China’s Internet Financial Ecosystem Based on Entropy Method and Principal Component Analysis

Author

Listed:
  • Zhou Rongxi

    (School of Banking and Finance, University of International Business and Economics, Beijing, 100029, China)

  • Xiong Yahui

    (School of Banking and Finance, University of International Business and Economics, Beijing, 100029, China)

  • Wang Ning

    (School of Banking and Finance, University of International Business and Economics, Beijing, 100029, China)

  • Wang Xizu

    (School of Banking and Finance, University of International Business and Economics, Beijing, 100029, China)

Abstract

This paper attempts to evaluate the coordinated development state of the subsystems within the internet financial ecosystem in China from 2011 to 2016. Focusing on the main business modes, technological innovation, and the external environment, we select 29 indicators to construct an index system and adopt a coupling coordination degree model for evaluation. Furthermore, we use two weight calculation methods, entropy weight and principal component analysis, to ensure the robustness of the results. The empirical results show that China’s internet financial ecosystem experienced five development stages from 2011 to 2016, which are moderate disorder, near disorder, weak coordination, intermediate coordination, and good coordination. Different methods of obtaining weights have little effect on the empirical results. These findings suggest that at the beginning, the coordinated development of China’s internet financial ecosystem was hindered by factors including the scarcity of main business modes and the defect of technological innovation; then, with the rapid development of China’s internet industry, the external environment became another drawback in coordinated development. Finally, based on the findings, we give some policy recommendations from a global perspective to achieve a sustainable internet financial ecosystem.

Suggested Citation

  • Zhou Rongxi & Xiong Yahui & Wang Ning & Wang Xizu, 2019. "Coupling Degree Evaluation of China’s Internet Financial Ecosystem Based on Entropy Method and Principal Component Analysis," Journal of Systems Science and Information, De Gruyter, vol. 7(5), pages 399-421, October.
  • Handle: RePEc:bpj:jossai:v:7:y:2019:i:5:p:399-421:n:1
    DOI: 10.21078/JSSI-2019-399-23
    as

    Download full text from publisher

    File URL: https://doi.org/10.21078/JSSI-2019-399-23
    Download Restriction: no

    File URL: https://libkey.io/10.21078/JSSI-2019-399-23?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Arnaud Dupuy & Alfred Galicho & Marc Henry, 2014. "Entropy methods for identifying hedonic models," Working Papers 2014/21, Maastricht School of Management.
    2. Rajkamal Iyer & Asim Ijaz Khwaja & Erzo F. P. Luttmer & Kelly Shue, 2016. "Screening Peers Softly: Inferring the Quality of Small Borrowers," Management Science, INFORMS, vol. 62(6), pages 1554-1577, June.
    3. Ceylan Onay & Emre Ozsoz, 2013. "The Impact of Internet-Banking on Brick and Mortar Branches: The Case of Turkey," Journal of Financial Services Research, Springer;Western Finance Association, vol. 44(2), pages 187-204, October.
    4. Guangyou Zhou & Yijia Zhang & Sumei Luo, 2018. "P2P Network Lending, Loss Given Default and Credit Risks," Sustainability, MDPI, vol. 10(4), pages 1-15, March.
    5. Honohan, Patrick & Klingebiel, Daniela, 2000. "Controlling the fiscal costs of banking crises," Policy Research Working Paper Series 2441, The World Bank.
    6. Yinghui Chen & Xiaolin Gong & Chien-Chi Chu & Yang Cao, 2018. "Access to the Internet and Access to Finance: Theory and Evidence," Sustainability, MDPI, vol. 10(7), pages 1-38, July.
    7. repec:hal:spmain:info:hdl:2441/5pur9qsgqa81hacarhshk7oh2p is not listed on IDEAS
    8. Rocco Ciciretti & Iftekhar Hasan & Cristiano Zazzara, 2009. "Do Internet Activities Add Value? Evidence from the Traditional Banks," Journal of Financial Services Research, Springer;Western Finance Association, vol. 35(1), pages 81-98, February.
    9. repec:hal:spmain:info:hdl:2441/5qh5s98no08b0p4s2sgkev0893 is not listed on IDEAS
    10. Riza Emekter & Yanbin Tu & Benjamas Jirasakuldech & Min Lu, 2015. "Evaluating credit risk and loan performance in online Peer-to-Peer (P2P) lending," Applied Economics, Taylor & Francis Journals, vol. 47(1), pages 54-70, January.
    11. Zhuming Chen & Yushan Li & Yawen Wu & Junjun Luo, 2017. "The transition from traditional banking to mobile internet finance: an organizational innovation perspective - a comparative study of Citibank and ICBC," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 3(1), pages 1-16, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Marko Jakšič & Matej Marinč, 2019. "Relationship banking and information technology: the role of artificial intelligence and FinTech," Risk Management, Palgrave Macmillan, vol. 21(1), pages 1-18, March.
    2. Li, Aimin & Li, Zhiyong & Bellotti, Anthony, 2023. "Predicting loss given default of unsecured consumer loans with time-varying survival scores," Pacific-Basin Finance Journal, Elsevier, vol. 78(C).
    3. Serena Gallo, 2021. "Fintech platforms: Lax or careful borrowers’ screening?," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-33, December.
    4. Gangopadhyay, Partha & Jain, Siddharth & Bakry, Walid, 2022. "In search of a rational foundation for the massive IT boom in the Australian banking industry: Can the IT boom really drive relationship banking?," International Review of Financial Analysis, Elsevier, vol. 82(C).
    5. Wolfgang Pointner & Burkhard Raunig, 2018. "A primer on peer-to-peer lending: immediate financial intermediation in practice," Monetary Policy & the Economy, Oesterreichische Nationalbank (Austrian Central Bank), issue Q3/18, pages 36-51.
    6. Li, Zhiyong & Li, Aimin & Bellotti, Anthony & Yao, Xiao, 2023. "The profitability of online loans: A competing risks analysis on default and prepayment," European Journal of Operational Research, Elsevier, vol. 306(2), pages 968-985.
    7. Li, Jianwen, 2023. "MSMEs meet FinTech: Chance or challenge?," Finance Research Letters, Elsevier, vol. 57(C).
    8. Liu, He & Qiao, Han & Wang, Shouyang & Li, Yuze, 2019. "Platform Competition in Peer-to-Peer Lending Considering Risk Control Ability," European Journal of Operational Research, Elsevier, vol. 274(1), pages 280-290.
    9. Andrew Grant & Luke Deer, 2020. "Consumer marketplace lending in Australia: Credit scores and loan funding success," Australian Journal of Management, Australian School of Business, vol. 45(4), pages 607-623, November.
    10. Saman Adhami & Gianfranco Gianfrate & Sofia Johan, 2023. "Risks and returns in crowdlending," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 13(2), pages 309-340, June.
    11. Sha, Yezhou, 2022. "Rating manipulation and creditworthiness for platform economy: Evidence from peer-to-peer lending," International Review of Financial Analysis, Elsevier, vol. 84(C).
    12. Xia, Yufei & Zhao, Junhao & He, Lingyun & Li, Yinguo & Yang, Xiaoli, 2021. "Forecasting loss given default for peer-to-peer loans via heterogeneous stacking ensemble approach," International Journal of Forecasting, Elsevier, vol. 37(4), pages 1590-1613.
    13. Pang, Professor Sulin & Hou, Xianyan & Xia, Lianhu, 2021. "Borrowers’ credit quality scoring model and applications, with default discriminant analysis based on the extreme learning machine," Technological Forecasting and Social Change, Elsevier, vol. 165(C).
    14. Krishnan Dandapani & Edward R. Lawrence & Jodonnis Rodriguez, 2018. "Determinants of Transactional Internet Banking," Journal of Financial Services Research, Springer;Western Finance Association, vol. 54(2), pages 243-267, October.
    15. Nigmonov, Asror & Shams, Syed & Alam, Khorshed, 2022. "Macroeconomic determinants of loan defaults: Evidence from the U.S. peer-to-peer lending market," Research in International Business and Finance, Elsevier, vol. 59(C).
    16. Elisabeta Pana & Sascha Vitzthum & David Willis, 2015. "The impact of internet-based services on credit unions: a propensity score matching approach," Review of Quantitative Finance and Accounting, Springer, vol. 44(2), pages 329-352, February.
    17. Del Gaudio, Belinda L. & Porzio, Claudio & Sampagnaro, Gabriele & Verdoliva, Vincenzo, 2021. "How do mobile, internet and ICT diffusion affect the banking industry? An empirical analysis," European Management Journal, Elsevier, vol. 39(3), pages 327-332.
    18. Yingxiu Zhao & Wei Zhang & Xiangyu Kong, 2019. "Dynamic Cross-Correlations between Participants’ Attentions to P2P Lending and Offline Loan in the Private Lending Market," Complexity, Hindawi, vol. 2019, pages 1-8, December.
    19. Ayman A. Alsmadi & Ahmed Shuhaiber & Loai N. Alhawamdeh & Rasha Alghazzawi & Manaf Al-Okaily, 2022. "Twenty Years of Mobile Banking Services Development and Sustainability: A Bibliometric Analysis Overview (2000–2020)," Sustainability, MDPI, vol. 14(17), pages 1-14, August.
    20. Tariq Abbasi & Hans Weigand, 2017. "The Impact of Digital Financial Services on Firm's Performance: a Literature Review," Papers 1705.10294, arXiv.org.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bpj:jossai:v:7:y:2019:i:5:p:399-421:n:1. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Peter Golla (email available below). General contact details of provider: https://www.degruyter.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.