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Do banking system transparency and competition affect nonperforming loans in the Chinese banking sector?

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  • Usman Bashir
  • Yugang Yu
  • Muntazir Hussain
  • Xiao Wang
  • Ahmed Ali

Abstract

The increasing importance of transparency practices and the improving status of bank competition in China are rarely explored in nonperforming loans (NPLs) literature. Thus, the purpose of this study is to examine banking system transparency and competition along with macroeconomic and bank-specific variables as determinants of NPL. We use the two-step system GMM dynamic panel model for Chinese banks based on annual data from 2000 to 2014. Our results indicate that high transparency in the Chinese banking system decreases poor-quality assets but not in the case of government-owned banks, whereas increase in competition increases NPL. Moreover, we find mixed results in the context of macroeconomics and bank-specific variables. Our study has practical implications in risk management practices and macro prudential policies.

Suggested Citation

  • Usman Bashir & Yugang Yu & Muntazir Hussain & Xiao Wang & Ahmed Ali, 2017. "Do banking system transparency and competition affect nonperforming loans in the Chinese banking sector?," Applied Economics Letters, Taylor & Francis Journals, vol. 24(21), pages 1519-1525, December.
    • Handle: RePEc:taf:apeclt:v:24:y:2017:i:21:p:1519-1525
    DOI: 10.1080/13504851.2017.1305082
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    References listed on IDEAS

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    1. Augustin Landier & David Thesmar, 2011. "Regulating Systemic Risk through Transparency: Trade-Offs in Making Data Public," NBER Chapters, in: Risk Topography: Systemic Risk and Macro Modeling, pages 31-44, National Bureau of Economic Research, Inc.
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    Cited by:

    1. Mohammad Abdullah & Mohammad Ashraful Ferdous Chowdhury & Ajim Uddin & Syed Moudud‐Ul‐Huq, 2023. "Forecasting nonperforming loans using machine learning," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(7), pages 1664-1689, November.
    2. Segun Thompson Bolarinwa & Olawale Akinyele & Xuan Vinh Vo, 2021. "Determinants of nonperforming loans after recapitalization in the Nigerian banking industry: Does efficiency matter?," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 42(6), pages 1509-1524, September.
    3. Ally, Zawadi, 2023. "Drivers of Banks’ Debt Financing: The Panel Data Evidence from Large Commercial Banks in Tanzania," African Journal of Economic Review, African Journal of Economic Review, vol. 11(4), June.
    4. Desalegn, Tigist Abebe & Zhu, Hongquan, 2021. "Does economic policy uncertainty affect bank earnings opacity? Evidence from China," Journal of Policy Modeling, Elsevier, vol. 43(5), pages 1000-1015.
    5. Dhanonjoy Kumar & Md. Zakir Hossain & Md. Saiful Islam, 2020. "Non-Performing Loans in Banking Sector of Bangladesh: An Evaluation," International Journal of Applied Economics, Finance and Accounting, Online Academic Press, vol. 6(1), pages 22-29.
    6. Shoaib Khan & Usman Bashir & Hend Abdulhadi Saleh Attuwaijri & Usman Khalid, 2023. "The Capital Structure Decisions of Banks: An Evidence From MENA Region," SAGE Open, , vol. 13(4), pages 21582440231, December.
    7. Feng-Wen Chen & Yuan Feng & Wei Wang, 2018. "Impacts of Financial Inclusion on Non-Performing Loans of Commercial Banks: Evidence from China," Sustainability, MDPI, vol. 10(9), pages 1-28, August.
    8. Wang Yijun & Zhang Yu & Usman Bashir, 2023. "Impact of COVID-19 on the contagion effect of risks in the banking industry: based on transfer entropy and social network analysis method," Risk Management, Palgrave Macmillan, vol. 25(2), pages 1-41, June.
    9. Beata Dratwińska-Kania & Aleksandra Ferens & Piotr Kania, 2023. "Transparent Reporting on Financial Assets as a Determinant of a Company’s Value—A Stakeholder’s Perspective during the SARS-CoV-2 Pandemic and beyond," Sustainability, MDPI, vol. 15(3), pages 1-20, January.

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