Journal of Industrial Convergence (산업융합연구)

DAEHAN Society of Industrial Management (대한산업경영학회)
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An Empirical Study on Factors Affecting the Survival of Social Enterprises Using Non-Financial Information

비재무정보를 이용한 사회적기업의 생존에 영향을 미치는 요인에 관한 실증연구

  • Hyeok Kim (Dept. of Advanced Industry Fusion, Konkuk University) ;
  • Dong Myung Lee (Dept. of Advanced Industry Fusion, Konkuk University) ;
  • Gi Jung Nam (Management Engineering, Konkuk University)
  • 김혁 (건국대학교 신산업융합학과) ;
  • 이동명 (건국대학교 신산업융합학과) ;
  • 남기정 (건국대학교 경영공학)
  • Received : 2022.10.12
  • Accepted : 2023.01.20
  • Published : 2023.01.28
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Abstract

The purpose of this study is to verify the factors affecting survival time by estimating survival rate and survival time using non-financial information of social enterprises using credit guarantee in credit guarantee institutions, and provide information to stakeholders to improve survival rate and employ to contribute to maintaining and expanding the As a research method, survival analysis was performed using a non-parametric analysis method, Kaplan-Meier Analysis. As a sample, 621 companies (577 normal companies, 44 insolvent companies) established between 2009 and 2018 were selected as the target companies. As a result of examining the factors affecting survival time by classifying social enterprise representative information and corporate information, representative credit rating, representative home ownership, credit transaction period, and corporate credit rating were derived as significant variables affecting survival time. In the future, financial institutions will be able to induce corporate soundness by reflecting factors that affect survival when examining loans for social enterprises, contributing to job retention and reduction of social costs. Supporting organizations such as the government and private organizations will be able to use it in various ways, such as policy establishment and education and training for the growth and sustainability of social enterprises. With this study as an opportunity, I hope that research will continue with more interest in the factors influencing social enterprise performance as well as corporate insolvency.

본 연구의 목적은 신용보증기관에서 신용보증을 이용한 사회적기업의 비재무정보를 사용하여 생존율과 생존시간을 추정하고 생존시간에 영향을 주는 요인들을 검증하여 이해관계자에게 정보를 제공하고 생존율을 향상시켜 기업의 고용을 유지·확대하여 사회·경제적 비용을 감소시키는데 기여하고자 한다. 연구방법은 비모수적 분석방법인 카플란마이어 분석법(Kaplan-Meier Analysis)으로 생존분석을 실시하였다. 연구대상 기업은 2009년부터 2018년 사이에 설립된 621개(정상기업 577개, 부실기업 44개) 기업을 표본으로 선정하였다. 사회적기업의 대표자정보와 기업정보로 구분하여 생존시간에 영향을 주는 요인들을 검증한 결과 대표자 신용등급, 대표자 주택보유여부, 여신거래기간, 기업 신용등급이 생존시간에 영향을 주는 유의미한 변수로 도출되었다. 향후 금융기관들은 사회적기업 대출심사시 생존에 영향을 미치는 요인들을 반영하여 기업의 건전성을 유인하고, 고용유지와 사회적비용 감소에 기여할 수 있을 것이다. 정부나 민간단체 등 지원기관들은 사회적기업의 성장과 지속가능성을 위한 정책수립, 교육훈련 등에도 다양하게 활용이 가능할 것이다. 본 연구를 계기로 사회적기업의 성과와 더불어 기업의 부실과 관련하여 영향을 미치는 요인들에 대하여 더욱 관심을 갖고 연구가 지속되길 바란다.

Keywords

References

  1. S. N. Jo, J. H. Han. (2016). A Case Studies on the Success Factors of Local Start-up Firm: Focused on Venturing. Journal of Industrial Convergence, 14(2), pp. 15-24.
  2. S. H. Bae. (2019). A Study on the Performance of Social Enterprise. Doctoral dissertation. Dankook University. Yongin Gyeonggi-do.
  3. S. J. Park, W. H. Lee. (2010). A Study on the benchmarking by successful Social Enterprises. Journal of Industrial Convergence, 8(2), pp. 41-60.
  4. K. O. Yun. (2022). The effect of social performance incentives on management performance of social enterprises. Doctoral dissertation. Soongsil University.
  5. Korea Social Enterprise Promotion Agency. (2022). Korea Social Enterprise Promotion Agency Homepage. Korea Social Enterprise Promotion Agency Homepage. https://www.socialenterprise.or.kr
  6. Ministry of Employment and Labor. (2018). The 3rd Social Enterprise Development Basic Plan. Sejong. Ministry of Employment and Labor.
  7. G. J. Nam. (2020). Young Start-ups Using Survival Analysis Method Study on Derivation of Survival Factors. Doctoral dissertation. Konkuk University. Seoul.
  8. M. S. Kang. (2020). Spatial Comparative Study on the Survival Rate of Self-Employed Businesses - Focused on Gwangju Major Commercial Areas and Metropolitan Subway Stations -. Master's dissertation. Chonnam National University. Gwangju.
  9. C. Y. Lim, Y. J. Lee, K. H. Lee, J. S. Kim, Y. Y. Bae & S. J. Kim, (2008). An Analysis for Korean Venture Survival. Sejong : Science and Technology Policy Institute.
  10. Y. C. Lee. (2011). A Study on the Reassurement Effect of Guaranteed Small and Micro Enterprises Using Survival Analysis. Sogang University Market Economic Research Institute, Market Economic Research, 40(2), pp. 79-100.
  11. M. Kang, J. W. Lee. (2009). Survival Analysis of Small and Medium Size Construction Enterprises Using Cox Proportional Hazards Model. Journal of the Korea Real Estate Analysts Association, 15(2), pp. 41-57.
  12. Y. Choi, S. H. Park, (2014). Analysis on the Factors Affecting the manufacturing industry in Survival Duration - Focused on Shut-down manufacturing industry in Busan. Journal of the Korean Planning Association, 49(2), 2014. 4, pp. 277-291. https://doi.org/10.17208/jkpa.2014.04.49.2.277
  13. J. Y. Ryu, J. Nam, C. H. Yi, (2014). Analysis on the Survival Rate and Impact Factors on Survival Duration for Startup Medium and Small-sized Firms in Seoul. Journal of the Korean Urban Management Association, 27(4), pp. 247-271.
  14. I. S. Choo, K. S. Kim. (2015). A Study on Survival Characteristics and Survival Determinants of Guarantee Companies. KODIT REPORT 2015-4. Daegu : Korea Credit Guarantee Fund.
  15. K. Y. Seong, S. G. Choi, S. S. Kim. (2019). A Comparative Study on Portfolio Composition Strategies and Survival Rates of MNC's Subsidiaries. Trade and Commerce Journal, 19(2), 2019. 4. pp. 1-21.
  16. Y. C. Lee. (2010). A Study on the Corporate Insolvency Prediction Model of Technology Guaranteed Firms Using Survival Analysis. Sogang University Market Economic Research Institute, Market Economic Research, 39(3), pp. 1-24.
  17. T. H. Kim. (2012). Analysis for Survival Factors in the Cultural Contents Industry. Journal of the Korea Contents Society, 12(2), 255-264.
  18. K. M. Lee, J. B. Hong. (2012). The Empirical Study on Survival and Survival Factors for Foreign Direct Investment. Journal of the Korean Data Analysis Society, 14(1), 379-387.
  19. S. H. Lee. (1998). Survival Analysis of the Small and Medium Firms in the Electronics Industry. International Economic Research, 4(2), 93-112.
  20. T. K. Ha. (2013). An Empirical study on Fostering and Drawing Longevity Factors of Small and Medium-sized Enterprises Using Survival Analysis. Doctoral dissertation. Konkuk University.
  21. H, Kim. (2017). An Empirical Study on Factors Affecting Organizational Survival of Entertainment Corporations. Doctoral dissertation. Jeju National University. Jeju.
  22. W. Y. Kim, (2016). The Survival and Growth of Social Enterprises - The Case of Chungnam Province. Regional Development Research, 49(2), 121-150.
  23. S. Y. Lee. (2019). A study on analysis of the Influence factors on survival probability of new technology-based start-ups : Focus on IOT industry. Master's dissertation. Pukyong National University. Busan.
  24. J. Y. Lee. (2021). A Study on the Effect of Internal and External Factors of Self-employed Business in Seoul on the default of Credit Guarantee - Focused on the start-up guarantee of the Seoul Credit Guarantee Foundation -. Master's dissertation. Yonsei University.
  25. S. Y. Yun, 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.
  26. G. W. Lee, M. S. Kang, S. K. Park (2015). A Study on Survival Analysis of Small Business/ Small Enterprises: Focusing on Businesses Supported by the Gangwon Credit Guarantee Foundation. Small business research, 37(1), 57-75.
  27. J. H. Kim. (2021). A Study on the Factors Affecting the Default of Credit Guarantees in Small Business Start-up Companies - Focusing on start-up companies in Seoul -. Master's dissertation. Yonsei University.
  28. G. J. Nam, D. M. Lee. (2018). An Empirical Study on Survival Characteristics of Young Start-up Entrepreneurs(20~30s). Asia-Pacific Journal of Business Venturing and Entrepreneurship, 13(5), 63-72.
  29. J. E. Kim. (2015). An empirical study on the factors influencing default of startups - Mainly with youth startups. Master's dissertation. Seoul National University. Seoul.