IDEAS home Printed from https://ideas.repec.org/a/eme/cfripp/cfri-05-2021-0088.html
   My bibliography  Save this article

Government support for SMEs in response to COVID-19: theoretical model using Wang transform

Author

Listed:
  • Shaun Shuxun Wang
  • Jing Rong Goh
  • Didier Sornette
  • He Wang
  • Esther Ying Yang

Abstract

Purpose - Many governments are taking measures in support of small and medium-sized enterprises (SMEs) to mitigate the economic impact of the COVID-19 outbreak. This paper presents a theoretical model for evaluating various government measures, including insurance for bank loans, interest rate subsidy, bridge loans and relief of tax burdens. Design/methodology/approach - This paper distinguishes a firm's intrinsic value and book value, where a firm can lose its intrinsic value when it encounters cash-flow crunch. Wang transform is applied to (1) calculating the appropriate level of interest rate subsidy payable to incentivize banks to issue more loans to SMEs and to extend the loan maturity of current debt to the SMEs, (2) describing the frailty distribution for SMEs and (3) defining banks' underwriting capability and overlap index in risk selection. Findings - Government support for SMEs can be in the form of an appropriate level of interest rate subsidy payable to incentivize banks to issue more loans to SMEs and to extend the loan maturity of current debt to the SMEs. Research limitations/implications - More available data on bank loans would have helped strengthen the empirical studies. Practical implications - This paper makes policy recommendations of establishing policy-oriented banks or investment funds dedicated to supporting SMEs, developing risk indices for SMEs to facilitate refined risk underwriting, providing SMEs with long-term tax relief and early-stage equity-type investments. Social implications - The model highlights the importance of providing bridge loans to SMEs during the COVID-19 disruption to prevent massive business closures. Originality/value - This paper provides an analytical framework using Wang transform for analyzing the most effective form of government support for SMEs.

Suggested Citation

  • Shaun Shuxun Wang & Jing Rong Goh & Didier Sornette & He Wang & Esther Ying Yang, 2021. "Government support for SMEs in response to COVID-19: theoretical model using Wang transform," China Finance Review International, Emerald Group Publishing Limited, vol. 11(3), pages 406-433, July.
  • Handle: RePEc:eme:cfripp:cfri-05-2021-0088
    DOI: 10.1108/CFRI-05-2021-0088
    as

    Download full text from publisher

    File URL: https://www.emerald.com/insight/content/doi/10.1108/CFRI-05-2021-0088/full/html?utm_source=repec&utm_medium=feed&utm_campaign=repec
    Download Restriction: Access to full text is restricted to subscribers

    File URL: https://www.emerald.com/insight/content/doi/10.1108/CFRI-05-2021-0088/full/pdf?utm_source=repec&utm_medium=feed&utm_campaign=repec
    Download Restriction: Access to full text is restricted to subscribers

    File URL: https://libkey.io/10.1108/CFRI-05-2021-0088?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Si, Deng-Kui & Wan, Shen & Li, Xiao-Lin & Kong, Dongmin, 2022. "Economic policy uncertainty and shadow banking: Firm-level evidence from China," Research in International Business and Finance, Elsevier, vol. 63(C).
    2. Onjewu, Adah-Kole Emmanuel & Olan, Femi & Nyuur, Richard Benon-be-isan & Paul, Salima & Nguyen, Ha Thanh Truc, 2023. "The effect of government support on Bureaucracy, COVID-19 resilience and export intensity: Evidence from North Africa," Journal of Business Research, Elsevier, vol. 156(C).

    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:eme:cfripp:cfri-05-2021-0088. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Emerald Support (email available below). General contact details of provider: .

    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.