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Financial Distress, Employees’ Welfare and Entrepreneurship Among SMEs

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  • John Nkwoma Inekwe

    (Monash University)

Abstract

The study predicts ex-ante financial distress in small and medium-sized enterprises (SMEs) and examines its significance in entrepreneurial activity. Thus, the study provides the dynamic characterization of the link between financial distress, employment and the growth in the establishment of SMEs. The study further examines employees’ welfare and financial distress of SMEs. The results reveal that financial ratios and market variables are significant in predicting financial distress risks. In the wake of financial distress, the results reveal contractions in the growth of SMEs. In addition, financial distress in SMEs induces an adverse effect on the level of employment and a reduction in employees’ welfare.

Suggested Citation

  • John Nkwoma Inekwe, 2016. "Financial Distress, Employees’ Welfare and Entrepreneurship Among SMEs," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 129(3), pages 1135-1153, December.
  • Handle: RePEc:spr:soinre:v:129:y:2016:i:3:d:10.1007_s11205-015-1164-6
    DOI: 10.1007/s11205-015-1164-6
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    1. Michel Dietsch, 2004. "Should SME exposures be treated as retail or corporate exposures: a comparative analysis of probabilities of default and assets correlations in French and German SMEs," ULB Institutional Repository 2013/14164, ULB -- Universite Libre de Bruxelles.
    2. P. Kler & G. Leeves & S. Shankar, 2015. "Nothing to Fear but Fear Itself: Perceptions of Job Security in Australia After the Global Financial Crisis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 123(3), pages 753-769, September.
    3. Wruck, Karen Hopper, 1990. "Financial distress, reorganization, and organizational efficiency," Journal of Financial Economics, Elsevier, vol. 27(2), pages 419-444, October.
    4. Balcaen, Sofie & Ooghe, Hubert, 2006. "35 years of studies on business failure: an overview of the classic statistical methodologies and their related problems," The British Accounting Review, Elsevier, vol. 38(1), pages 63-93.
    5. John Y. Campbell & Jens Hilscher & Jan Szilagyi, 2008. "In Search of Distress Risk," Journal of Finance, American Finance Association, vol. 63(6), pages 2899-2939, December.
    6. Evans, David S & Leighton, Linda S, 1989. "Some Empirical Aspects of Entrepreneurship," American Economic Review, American Economic Association, vol. 79(3), pages 519-535, June.
    7. Grice, John Stephen & Dugan, Michael T, 2001. "The Limitations of Bankruptcy Prediction Models: Some Cautions for the Researcher," Review of Quantitative Finance and Accounting, Springer, vol. 17(2), pages 151-166, September.
    8. Merton, Robert C, 1974. "On the Pricing of Corporate Debt: The Risk Structure of Interest Rates," Journal of Finance, American Finance Association, vol. 29(2), pages 449-470, May.
    9. David Roodman, 2011. "Fitting fully observed recursive mixed-process models with cmp," Stata Journal, StataCorp LP, vol. 11(2), pages 159-206, June.
    10. Israel M. Kirzner, 1997. "Entrepreneurial Discovery and the Competitive Market Process: An Austrian Approach," Journal of Economic Literature, American Economic Association, vol. 35(1), pages 60-85, March.
    11. Agarwal, Vineet & Taffler, Richard, 2008. "Comparing the performance of market-based and accounting-based bankruptcy prediction models," Journal of Banking & Finance, Elsevier, vol. 32(8), pages 1541-1551, August.
    12. Wilde, Joachim, 2000. "Identification of multiple equation probit models with endogenous dummy regressors," Economics Letters, Elsevier, vol. 69(3), pages 309-312, December.
    13. Berger, Allen N. & Udell, Gregory F., 2006. "A more complete conceptual framework for SME finance," Journal of Banking & Finance, Elsevier, vol. 30(11), pages 2945-2966, November.
    14. Purnanandam, Amiyatosh, 2008. "Financial distress and corporate risk management: Theory and evidence," Journal of Financial Economics, Elsevier, vol. 87(3), pages 706-739, March.
    15. Black, Fischer & Scholes, Myron S, 1973. "The Pricing of Options and Corporate Liabilities," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 637-654, May-June.
    16. Hernandez Tinoco, Mario & Wilson, Nick, 2013. "Financial distress and bankruptcy prediction among listed companies using accounting, market and macroeconomic variables," International Review of Financial Analysis, Elsevier, vol. 30(C), pages 394-419.
    17. Gartner, William B. & Shane, Scott A., 1995. "Measuring entrepreneurship over time," Journal of Business Venturing, Elsevier, vol. 10(4), pages 283-301, July.
    18. Paul Asquith & Robert Gertner & David Scharfstein, 1994. "Anatomy of Financial Distress: An Examination of Junk-Bond Issuers," The Quarterly Journal of Economics, Oxford University Press, vol. 109(3), pages 625-658.
    19. Cope, Jason, 2011. "Entrepreneurial learning from failure: An interpretative phenomenological analysis," Journal of Business Venturing, Elsevier, vol. 26(6), pages 604-623.
    20. Jens Grunert & Lars Norden, 2012. "Bargaining power and information in SME lending," Small Business Economics, Springer, vol. 39(2), pages 401-417, September.
    21. Bauer, Julian & Agarwal, Vineet, 2014. "Are hazard models superior to traditional bankruptcy prediction approaches? A comprehensive test," Journal of Banking & Finance, Elsevier, vol. 40(C), pages 432-442.
    22. Sudheer Chava & Robert A. Jarrow, 2008. "Bankruptcy Prediction with Industry Effects," World Scientific Book Chapters, in: Financial Derivatives Pricing Selected Works of Robert Jarrow, chapter 21, pages 517-549, World Scientific Publishing Co. Pte. Ltd..
    23. Altman, Edward I. & Haldeman, Robert G. & Narayanan, P., 1977. "ZETATM analysis A new model to identify bankruptcy risk of corporations," Journal of Banking & Finance, Elsevier, vol. 1(1), pages 29-54, June.
    24. 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.
    25. Ed Nosal, 1998. "Financial Distress and Underemployment," Review of Economic Studies, Oxford University Press, vol. 65(4), pages 817-845.
    26. Edward I. Altman & Gabriele Sabato, 2007. "Modelling Credit Risk for SMEs: Evidence from the U.S. Market," Abacus, Accounting Foundation, University of Sydney, vol. 43(3), pages 332-357, September.
    27. Shumway, Tyler, 2001. "Forecasting Bankruptcy More Accurately: A Simple Hazard Model," The Journal of Business, University of Chicago Press, vol. 74(1), pages 101-124, January.
    28. 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.
    29. Dietsch, Michel & Petey, Joel, 2004. "Should SME exposures be treated as retail or corporate exposures? A comparative analysis of default probabilities and asset correlations in French and German SMEs," Journal of Banking & Finance, Elsevier, vol. 28(4), pages 773-788, April.
    30. Ohlson, Ja, 1980. "Financial Ratios And The Probabilistic Prediction Of Bankruptcy," Journal of Accounting Research, Wiley Blackwell, vol. 18(1), pages 109-131.
    31. Zmijewski, Me, 1984. "Methodological Issues Related To The Estimation Of Financial Distress Prediction Models," Journal of Accounting Research, Wiley Blackwell, vol. 22, pages 59-82.
    32. Pindado, Julio & Rodrigues, Luis & de la Torre, Chabela, 2008. "Estimating financial distress likelihood," Journal of Business Research, Elsevier, vol. 61(9), pages 995-1003, September.
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    Cited by:

    1. Inekwe, John Nkwoma & Jin, Yi & Valenzuela, Ma. Rebecca, 2018. "The effects of financial distress: Evidence from US GDP growth," Economic Modelling, Elsevier, vol. 72(C), pages 8-21.
    2. Chiara D’Angelo & Diletta Gazzaroli & Caterina Gozzoli, 2020. "Organisational Welfare in Italian SMEs: The Process of Valorising Human Resources," Sustainability, MDPI, vol. 12(22), pages 1-13, November.

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    More about this item

    Keywords

    Entrepreneur; Financial distress; Clogit; SMEs;
    All these keywords.

    JEL classification:

    • F23 - International Economics - - International Factor Movements and International Business - - - Multinational Firms; International Business
    • L26 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Entrepreneurship
    • L25 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Performance

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