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비재무정보를 이용한 중소벤처기업의 부실요인에 관한 실증연구: 신용보증기금의 보증연계투자기업을 중심으로

An Empirical Study on Bankruptcy Factors of Small and Medium-sized Venture Companies using Non-financial Information: Focusing on KCGF's Guarantee-linked Investment Companies

  • 장재준 (건국대학교 신산업융합학과) ;
  • 이철규 (건국대학교 신산업융합학과)
  • Jae-Joon Jang (Dept. of Advanced Industry Fusion, Konkuk University) ;
  • Cheol-Gyu Lee (Dept. of Advanced Industry Fusion, Konkuk University)
  • 투고 : 2023.04.27
  • 심사 : 2023.06.20
  • 발행 : 2023.06.28

초록

본 연구의 목적은 신용보증기금으로부터 투자받은 기업의 비재무정보를 활용하여 기업 부실에 영향을 주는 요인들을 검증하는 것이다. 본 연구에서는 2014년 3월부터 2022년 12월말까지 신용보증기금에서 투자받은 594개(정상기업 525개, 부실기업 69개) 기업을 표본으로 선정하였다. 기업의 비재무정보를 창업자 특성정보, 기업 특성정보, 기업 투자정보로 구분하여 교차분석과 로지스틱회귀분석을 실시하였다. 교차분석 결과 개인신용등급, 업종, 공동투자여부가 유의한 변수로 선정되었고, 그 변수들을 대상으로 로지스틱회귀분석을 실시하여 개인신용등급, 공동투자여부 등 2개 변수가 부실의 중요한 요인으로 선택되었다. 기업경영에 있어 창업자의 개인신용과 투자지원시 공동투자의 중요성을 알 수 있었다. 중소벤처기업에 투자를 지원하는 기관이 이러한 결과를 심사에 반영하고, 민간투자기관과의 협력관계를 체계적으로 구축하면 부실을 최소화하는데 도움이 될 것이다. 본 연구를 통해 공공기관의 직접투자를 지원받는 기업의 부실에 영향을 미치는 요인들에 대하여 더욱 관심을 갖는 계기가 마련되길 바란다.

The purpose of this study is to verify the factors affecting corporate bankruptcy by using non-financial information of companies invested by credit guarantee institutions. In this study, 594 companies (525 normal companies, 69 insolvent companies) invested in by the Korea Credit Guarantee Fund from March 2014 to the end of December 2022 were selected as samples. Non-financial information of companies was divided into founder characteristics information, company characteristics information, and corporate investment information, and cross-analysis and logistic regression analysis were conducted. As a result of the cross-analysis, personal credit rating, industry, and joint investment were selected as significant variables, and logistic regression analysis was conducted for those variables, and two variables, personal credit rating and joint investment, were selected as important factors for bankruptcy. In business management, the founder's personal credit and the importance of joint investment in investment support were found out. It will help to minimize bankruptcy if institutions that support investment in SMEs reflect these results in their screening and systematically build cooperative relationships with private investment institutions. It is hoped that this study will provide an opportunity to pay more attention to the factors that affect the bankruptcy of companies that receive direct investment from public institutions.

키워드

과제정보

This thesis is supported by Konkuk University's KU Academic Research Fund in 2021.

참고문헌

  1. D. O. Baek (2018). Entrepreneurship and venture business startup in the 4th industrial revolution era. Paju : 21Century
  2. M. Yun, C. G. Lee (2020). A Study on the Efficiency of National Policy Bank's Support for SMEs Policy Funds. Journal of Digital Convergence, 18(10), 147-162. DOI : 10.14400/JDC.2020.18.10.147
  3. Y. S. Kim, Y. J. Yoo & C. G. Lee (2013). A Study on Predicting the Bankruptcy through the Analysis of Non-Financial Factors of SME and Venture Businesses. Journal of the Korean Entrepreneurship Socieity, 8(2), 105-134. DOI : 10.24878/tkes.2013.8.2.105
  4. T. S. Choi, H. G. Kim & S. H. Kim (2002). A Comparison of the Discrimination of Business Failure Prediction Models. Journal of the Korean Operations Research and Management Science Society, 27(2), 1-13.
  5. G. C. Kim (2011). A study on corporate failure predictions by using audit opinions and accounting firm's characteristics. Doctoral dissertation. Soongsil University. Seoul.
  6. W. J. Yoo, C. G. Lee (2018). Relations between SME's Non-Financial Factors and Financial Soundness: Mediating Effect of Corporate Competitiveness and Moderating Effect of Industrial Environment. Asia Pacific Journal of Samall Business, 40(2), 115-135. DOI : 10.36491/APJSB.40.2.5
  7. S. S. Ban, G. M. Song & S. T. Kim (2009). A Study on the Credit Rating as an Indicator of Venture Success. Korea Journal of Business Administration. 22(1). 181-204.
  8. N. H. Kim, G. J. Nam (2004). A Comarative Study on Analytial Model for Predicting Small and Medium-sized Enterprises. Guarantee Monthly. 285. 3-42.
  9. T. H. Hong, T. S. Shin (2007). Developing Corporate Credit Rating Models Using Business Failure Probability Map and Analytic Hierarchy Process. Journal of Intelligence and Information Systems. 16(3). 1-20.
  10. W. J. Yoo (2017). Effects of non-financial factors on SME's financial soundness. Doctoral dissertation. Konkuk University. Seoul.
  11. W. Cheng-Ying (2004). Using Non-Financial Information to Predict Bankruptcy: A Study of Public Companies in Taiwan. International Journal of Mangement. 21(2). 194-201.
  12. J. E. Kim (2015). An empirical study on the factors influencing default of startups : mainly with youth strartups. Master's dissertation. Seoul National University. Seoul.
  13. H. H. Seung, S. H. Oh, I. H. Oh & J. D. Lee (2014). Effects of Government Venture Capital on Firms' Performances in Korea. Asia Pacific Journal of Samall Business, 36(3), 205-227.
  14. H. J. Kim (2015). Effects of the public venture capital syndication with the private venture capital on corporate performance. Doctoral dissertation. Yonsei University. Wonju.
  15. G. W. Jeung (2014). A study on the default prediction model of SMES after supperting the credit guarantee. Master's dissertation. Hanyang University. Seoul.
  16. G. J. Nam, D. M. Lee & R.J in (2019). An Empirical Study on the Failure Factors of Startups Using Non-financial Information. Asia-Pacific Journal of Business Venturing and Entrepreneurship. 14(1). 139-149. DOI : 10.16972/apjbve.14.1.201902.139
  17. G. W. Lee, M. S. Kang & S. G. Park (2015). A Study on Survival Analysis of Small Business/Small Enterprises: Focusing on Businesses Supported by the Gangwon Credit Guarantee Foundation, Asia Pacific Journal of Samall Business. 37(1). 57-75.
  18. I. S. Choo, G. S. Kim (2015). Study on the Survival Characteristics and the Survival Factor of Guaranteed Companies, KODIT REPORT. 2015-4. Korea Credit Guarantee Fund.
  19. S. Y. Yoon, M. S. Kang & H. T. Lee (2016). Is Non-financial Data Important for Credit-rating of Micro-Enterprises?, Management Consulting Research. 16(2). 37-46.
  20. Y. S. Lee, C. G. Lee (2022). The influence and mediating effect of entrepreneurial competency and entrepreneurial attitude on entrepreneurial intention, Korean Comparative Government Review. 26(1). 137-162. DOI : 10.18397/kcgr.2022.26.1.137
  21. M. H. Park (2012). Factors affecting survival probability of self-employment at older ages : comparison of self-employment start-ups before and after age 50. Doctoral dissertation. Ewha Womans Univerity. Seoul.
  22. G. H. Bae, G. S. Park (2012). The Empirical Study on Survival Analysis of the Guaranteed Small and Medium Companies. Journal of the Korean Data Analysis Society, 14(2), 1013-1021.
  23. B. C. Seo, K. W. Kim (2011). An Analysis of Effect of Each Type of Fund Investment by Venture Capital. Advancing Small Enterprise Innovation Research. 14(1). 68-88.
  24. B. C. Seo (2010). An analysis of effect of each type of fund investment by venture capital. Master's dissertation. KyungHee University. Seoul.
  25. Prisendorfer, P. & Voss, T. (1990). Organizational Mortality of Small Firms: The Effects of Entrepreneurial Age and Human Capital. Organization Studies. 11(1). 107-129. https://doi.org/10.1177/017084069001100109
  26. Bruderl, J., Preisendorfer, P. & Ziegel, R. (1992). Survival Chances of Newly Founded Business Organizations. American sociological review 57(2). 227-242. https://doi.org/10.2307/2096207
  27. J. J. Kim (2013). Impact of the Investment of Venture Capitals on the Performance of SMEs. Doctoral dissertation. Hoseo University. Asan.