기술혁신 활동과 고용 수준이 소규모 창업기업에 대한 신용평가에 미치는 영향: 비대칭적 정보 가설 vs. 역량 가설

The Effects of Technology Innovation and Employment on Start-ups' Credit Ratings: Asymmetric Information Hypothesis vs Competence Hypothesis

  • 최영철 (금오공과대학교 컨설팅대학원) ;
  • 양태호 (경북대학교 경영학부) ;
  • 김성환 (경북대학교 경영학부)
  • Choi, Young-Cheol (Graduate School of Consulting, Kumoh National Institute of Technology) ;
  • Yang, Taeho (School of Business Administration, Kyungpook National University) ;
  • Kim, Sunghwan (School of Business Administration, Kyungpook National University)
  • 투고 : 2020.01.06
  • 심사 : 2020.04.28
  • 발행 : 2020.04.30

초록

본 연구에서는 NICE 신용평가의 KIS VALUE 데이터베이스로부터 2009년도부터 2015년까지의 초기 자산규모 10억원 이상 20억원 미만인 12,028개 소규모 기업을 대상으로 기술혁신 투자 및 고용창출이 신용평가에 미치는 영향을 진단하였다. 세부적으로 51,903개 기업-연 패널 정보를 이용하여 기술혁신 투자 및 고용창출이 기업에 관한 불확실성을 증가시킬 요소로 작용할 수 있다는 측면에서의'비대칭적 정보 가설'과 대비하여, 미래 성장을 위한 적극적인 경영활동으로 기업의 경쟁 역량을 개선할 것이라는'역량 가설'을 고정효과 패널 회귀분석과 도구변수(IV: instrument variable)를 이용하여 진단하였다. 연구결과를 요약하면 다음과 같다. 첫째, 창업 후 2년 이내의 신규 창업기업은 비 창업기업보다 신용도가 1% 통계적 유의수준에서 낮다. 둘째, 소규모 기업의 기술혁신 투자는 신용도에 해당연도(t)까지만 유의한 양(+)의 영향을 미치는 것으로 나타났다. 셋째, 소규모 기업의 고용 역량은 신용도에 해당연도(t)에서 1차연도(t+1)까지 양(+)의 유의한 영향을 미치는 것으로 나타났다. 넷째, 소규모 기업의 업력은 신용도에 2차연도(t+2)까지 긍정적인 영향이 나타났으며, 종업원 1인당 매출액, 유형자산 비율 및 총자산순이익률은 신용도에 최소 3년 이상 긍정적인 영향이 지속함을 확인할 수 있었다. 이런 면에서 창업 초기기업에 대하여는 정보의 비대칭으로 인한'비대칭적 정보 가설'이 타당하고, 창업기업의 기술혁신 투자나 고용창출 노력은 신용평가 기관에'위험'보다는'역량'으로 평가되는 것으로 나타났다.

In this study, we investigate the effects of technology innovation investments and employment on credit ratings of very small start-up businesses using the data period of 2009 till 2015 test two hypotheses: asymmetric information hypothesis or competence hypothesis. We use financial and non-financial data of 51,903 observations of 12,028 small businesses from a database of a commercial bank and fixed effects panel models and two-stage instrumental variable models. We find that in the short-run small size startups show lower credit ratings than non-startups, and that both technology innovation activities and employment capability improve their credit ratings. In the long-run, technology innovation investments do not improve their credit ratings of later years while employment capability improve their credit ratings of the subsequent year. In addition, the age of startups improves their credit ratings of the current year and until the subsequent two years while employee productivity, fixed ratio and ROA positively affect their credit ratings for up to three years. However, short-term and overall debt ratios, cost of borrowings and firm-size negatively affect their credit ratings for up to three years. The results of the study on credit ratings suggest that credit rating agencies seem to consider both technology innovation activities and employment capability in the credit ratings of small start-ups as 'competence factors' rather than 'asymmetric information factors' with inefficiency and cost burdens. The results also suggest that we must find ways to reflect properly the severe asymmetric information of the early-stage start-ups, and technology innovation activities and employment capability in the credit rating formula.

키워드

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