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Survival and Duration Analysis of MSMEs in Chiang Mai, Thailand: Evidence from the Post-COVID-19 Recovery

Author

Listed:
  • Woraphon Yamaka

    (Center of Excellence in Econometrics, Faculty of Economics, Chiang Mai University, Chiang Mai 50200, Thailand)

  • Paravee Maneejuk

    (Center of Excellence in Econometrics, Faculty of Economics, Chiang Mai University, Chiang Mai 50200, Thailand)

  • Rungrapee Phadkantha

    (Center of Excellence in Econometrics, Faculty of Economics, Chiang Mai University, Chiang Mai 50200, Thailand)

  • Wiranya Puntoon

    (Center of Excellence in Econometrics, Faculty of Economics, Chiang Mai University, Chiang Mai 50200, Thailand)

  • Payap Tarkhamtham

    (Center of Excellence in Econometrics, Faculty of Economics, Chiang Mai University, Chiang Mai 50200, Thailand)

  • Tatcha Sudtasan

    (Center of Excellence in Econometrics, Faculty of Economics, Chiang Mai University, Chiang Mai 50200, Thailand)

Abstract
This study attempts to reveal the consequences of coronavirus disease 2019 (COVID-19) on micro, small, and medium enterprises (MSMEs) in Chiang Mai, Thailand. A total of 786 MSMEs were surveyed during May and August 2022, corresponding to the period when the recovery of businesses and livelihoods from the ongoing COVID-19 crisis became more perceptible. The perceptions of COVID-19’s impact on MSMEs and their survivability are explored and investigated. To achieve this goal, a copula-based sample selection survival model is introduced. This idea of the model is extended from the concept of the Cox proportional hazards model and copula-based sample selection model, enabling us to construct simultaneous equations—namely, the probability-of-failure equation (selection equation) and the duration-of-survival equation (time-to-event or outcome equation). Several copula functions with different dependence patterns are considered to join the failure equation and the duration-of-survival equation. By comparing the Akaike and Bayesian information criteria values of the candidate copulas, we find that Farlie–Gumbel–Morgenstern (FGM) copula performs the best-fit joint function in our analysis. Empirically, the results from this best-fit model reveal that the survival probability of MSMEs in the next year is around 80%. However, some MSMEs may not survive more than three months after the interview. Finally, our results also reveal that the tourism MSMEs have a lower chance of survival than the commercial and manufacturing MSMEs. Notably, the business size and the support schemes from the government—such as the debt restructuring process, the tax payment deadline extension, and the reduced social security contributions—exhibited a role in lengthening the survival duration of the non-surviving MSMEs.

Suggested Citation

  • Woraphon Yamaka & Paravee Maneejuk & Rungrapee Phadkantha & Wiranya Puntoon & Payap Tarkhamtham & Tatcha Sudtasan, 2023. "Survival and Duration Analysis of MSMEs in Chiang Mai, Thailand: Evidence from the Post-COVID-19 Recovery," Mathematics, MDPI, vol. 11(4), pages 1-21, February.
    • Handle: RePEc:gam:jmathe:v:11:y:2023:i:4:p:794-:d:1057778
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    References listed on IDEAS

    as
    1. Murray D. Smith, 2003. "Modelling sample selection using Archimedean copulas," Econometrics Journal, Royal Economic Society, vol. 6(1), pages 99-123, June.
    2. Steven C. Deller & Tessa Conroy, 2017. "Business survival rates across the urban–rural divide," Community Development, Taylor & Francis Journals, vol. 48(1), pages 67-85, January.
    3. Petti, Danilo & Eletti, Alessia & Marra, Giampiero & Radice, Rosalba, 2022. "Copula link-based additive models for bivariate time-to-event outcomes with general censoring scheme," Computational Statistics & Data Analysis, Elsevier, vol. 175(C).
    4. Leung, Siu Fai & Yu, Shihti, 1996. "On the choice between sample selection and two-part models," Journal of Econometrics, Elsevier, vol. 72(1-2), pages 197-229.
    5. Gémar, Germán & Moniche, Laura & Morales, Antonio J., 2016. "Survival analysis of the Spanish hotel industry," Tourism Management, Elsevier, vol. 54(C), pages 428-438.
    6. Edward I. Altman, 1968. "Financial Ratios, Discriminant Analysis And The Prediction Of Corporate Bankruptcy," Journal of Finance, American Finance Association, vol. 23(4), pages 589-609, September.
    7. Alexander W. Bartik & Marianne Bertrand & Zoë B. Cullen & Edward L. Glaeser & Michael Luca & Christopher T. Stanton, 2020. "How Are Small Businesses Adjusting to COVID-19? Early Evidence from a Survey," NBER Working Papers 26989, National Bureau of Economic Research, Inc.
    8. Edward I. Altman, 1968. "The Prediction Of Corporate Bankruptcy: A Discriminant Analysis," Journal of Finance, American Finance Association, vol. 23(1), pages 193-194, March.
    9. Ohlson, Ja, 1980. "Financial Ratios And The Probabilistic Prediction Of Bankruptcy," Journal of Accounting Research, Wiley Blackwell, vol. 18(1), pages 109-131.
    10. Liu, Yang & Dilanchiev, Azer & Xu, Kaifei & Hajiyeva, Aytan Merdan, 2022. "Financing SMEs and business development as new post Covid-19 economic recovery determinants," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 554-567.
    11. Hee Kyung Kim & Chang Won Lee, 2021. "Relationships among Healthcare Digitalization, Social Capital, and Supply Chain Performance in the Healthcare Manufacturing Industry," IJERPH, MDPI, vol. 18(4), pages 1-13, February.
    12. Meyer, Brent H. & Prescott, Brian & Sheng, Xuguang Simon, 2022. "The impact of the COVID-19 pandemic on business expectations," International Journal of Forecasting, Elsevier, vol. 38(2), pages 529-544.
    13. David Bruce Audretsch & Maksim Belitski & Nataliia Cherkas, 2021. "Entrepreneurial ecosystems in cities: The role of institutions," PLOS ONE, Public Library of Science, vol. 16(3), pages 1-22, March.
    14. Siwarit Pongsakornrungsilp & Pimlapas Pongsakornrungsilp & Vikas Kumar & Bhuritt Maswongssa, 2021. "The Art of Survival: Tourism Businesses in Thailand Recovering from COVID-19 through Brand Management," Sustainability, MDPI, vol. 13(12), pages 1-17, June.
    15. Chamberlain, Gary, 1986. "Asymptotic efficiency in semi-parametric models with censoring," Journal of Econometrics, Elsevier, vol. 32(2), pages 189-218, July.
    16. David J. Teece & Gary Pisano & Amy Shuen, 1997. "Dynamic capabilities and strategic management," Strategic Management Journal, Wiley Blackwell, vol. 18(7), pages 509-533, August.
    17. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    18. Huayu Shen & Mengyao Fu & Hongyu Pan & Zhongfu Yu & Yongquan Chen, 2020. "The Impact of the COVID-19 Pandemic on Firm Performance," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 56(10), pages 2213-2230, August.
    19. Álvaro Dias & Graça M. Silva, 2021. "Willingness to Stay of Tourism Lifestyle Entrepreneurs: A Configurational Perspective," Sustainability, MDPI, vol. 13(24), pages 1-16, December.
    20. Sarah Williams & Anja Schaefer, 2013. "Small and Medium‐Sized Enterprises and Sustainability: Managers' Values and Engagement with Environmental and Climate Change Issues," Business Strategy and the Environment, Wiley Blackwell, vol. 22(3), pages 173-186, March.
    21. Yugang He, 2022. "Home Production: Does It Matter for the Korean Macroeconomy during the COVID-19 Pandemic?," Mathematics, MDPI, vol. 10(12), pages 1-12, June.
    22. Zilko, Aurelius A. & Kurowicka, Dorota, 2016. "Copula in a multivariate mixed discrete–continuous model," Computational Statistics & Data Analysis, Elsevier, vol. 103(C), pages 28-55.
    23. Maria Heui-Yeong Kim & Shiguang Ma & Yanran Annie Zhou, 2016. "Survival prediction of distressed firms: evidence from the Chinese special treatment firms," Journal of the Asia Pacific Economy, Taylor & Francis Journals, vol. 21(3), pages 418-443, July.
    24. Ingrid C. Chadwick & Jana L. Raver, 2020. "Psychological Resilience and Its Downstream Effects for Business Survival in Nascent Entrepreneurship," Entrepreneurship Theory and Practice, , vol. 44(2), pages 233-255, March.
    25. Xuelin Huang & Nan Zhang, 2008. "Regression Survival Analysis with an Assumed Copula for Dependent Censoring: A Sensitivity Analysis Approach," Biometrics, The International Biometric Society, vol. 64(4), pages 1090-1099, December.
    26. Pimlapas Pongsakornrungsilp & Siwarit Pongsakornrungsilp & Akawut Jansom & Sydney Chinchanachokchai, 2022. "Rethinking Sustainable Tourism Management: Learning from the COVID-19 Pandemic to Co-Create Future of Krabi Tourism, Thailand," Sustainability, MDPI, vol. 14(18), pages 1-18, September.
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