DOI QR코드

DOI QR Code

Conditional Quantile Regression Analyses on the Research & Development Expenses for KOSPI-listed Firms in the Post-era of the Global Financial Turmoil

국제 금융위기 이후 국내 유가증권시장 상장기업들의 연구개발비에 대한 분위회귀분석 연구

  • 김한준 (호서대학교 사회과학대학 경영학부)
  • Received : 2018.02.06
  • Accepted : 2018.03.14
  • Published : 2018.04.28

Abstract

The study addresses the analysis on the financial determinants of corporate research and development (R&D) expenditure in finance. Overall level of R&D spending was estimated as one of the top-tier on a global basis and a majority of the expenditure was invested by large domestic firms in private sector. Consequently, financial factors that influence R&D intensity were empirically tested in the first hypothesis by using conditional quantile regression model for firms listed in KOSPI stock market in the post-era of the global financial turmoil. Firms in the groups of high- and low-R&D intensity were statistically compared to detect financial differences in the second hypothesis which was accompanied by the test of multi-logit model that included firms without R&D outlay. Concerning the results of the hypothesis tests, R&D spending of the prior fiscal year, firm size, business risk and advertising expense overall showed statistically significant impacts to determine the level. As an extended study of [1] that had examined financial factors of R&D intensity at the macro-level, the results of the present study are anticipated to contribute to maximizing shareholders' wealth in advance or emerging capital markets, when applied to find an optimal level of R&D expenditure.

본 연구의 주제는 재무분야 중 기업의 연구개발비 지출에 대한 결정요인에 대한 분석이다. 국가별 연구개발비 비중 기준, 국내 자본시장은 국제적인 측면에서 최고의 수준으로 평가되고 있으며, 사기업들의 연구개발비 비중에서 대기업들은 큰 비중을 차지하고 있다. 이와 관련하여, 본 연구에서는 국제금융위기 이후 유가증권시장 상장기업들을 표본자료로 활용하여, 연구개발비의 재무적 결정요인을 분석하기 위한 분위별 회귀분석 방법론이 첫째 가설에서 시행되었다. 둘째 가설에서는 연구개발비 지출 기준 상위 그룹과 하위 그룹간의 재무적 상대적 차이점이 검정되었고 추가적인 검정에서는 언급한 상위, 하위 그룹들에 속한 표본기업들 뿐만 아니라, 표본기간 중 연구개발비 지출이 없었던 그룹들을 포함한 총 3개 그룹들 간의 차이점을 재무적 관점에서 규명하였다. 연구결과 관련, 전년도의 연구개발비 수준, 기업규모, 부도 위험도 그리고 광고비 등이 현재 연구개발비 수준을 결정하는 재무적 요인들로서 종합적으로 판명되었다. 본 연구는 연구개발비의 결정요인들을 종합적 관점에서 분석한 기존 연구(즉, [1])의 추가적 심층연구로서 의미도 있다고 판단하며, 향후 국내 자본시장을 포함한 신흥자본시장과 선진자본시장의 연구개발비 최적 수준 분석에 응용되어 주주의 부의 극대화에 기여할 수 있을 것으로 기대된다.

Keywords

References

  1. H. Kim, "Further Examinations on the Financial Aspects of R&D Expenditure for Firms Listed in the KOSPI Stock Market," Unpublished Working Paper, 2018.
  2. http://www.msit.go.kr/web/msipContents/cont ents.do?mId=NzM=
  3. H. Kim, "Financial Profile of Growth Engine For Corporations Headquartered in Chungcheong Province in the Republic o Korea," J. of International Trade & Commerce, Vol.12, No.1, pp.21-33, 2016.
  4. W. Baber, P. Fairfield, and J. Haggard, "The Effect of Concern about Reported Income on Discretionary Spending Decisions: The Case of Research and Development," The Accounting Review, Vol.66, No.4, pp.818-829, 1991.
  5. S. Perry and R. Grinaker, "Earnings Expectations and Discretionary Research and Development Spending," Accounting Horizons, Vol.8, No.4, pp.43-51, 1994.
  6. B. Lev and T. Sougiannis, "The Capitalization, Amortization, and Value-relevance of R&D," J. of Accounting and Economics, Vol.21, pp.107-138, 1996. https://doi.org/10.1016/0165-4101(95)00410-6
  7. A. Everhart, W. Maxwell, and A. Siddique, "An Examination of Long-term Abnormal Stock Returns and Operating Performance Following R&D Increases," J. of Finance, Vol.59, No.2, pp.623-650, 2004. https://doi.org/10.1111/j.1540-6261.2004.00644.x
  8. H. Kim, "Investigations on the Financial Determinants of Profitability for Korean Chaebol Firms by Applying Conditional Quantile Regression (CQR) Model," J. of Contents Association, Vol.14, No.12, pp.973-988, 2014. https://doi.org/10.5392/JKCA.2014.14.12.973
  9. B. Fattouh, P. Scaramozzino, and L. Harris, "Capital Structure in South Korea: a Quantile Regression Approach," J. of Development Economics, Vol.75, pp.231-250, 2005.
  10. W. Nelson and B. Arshanapalli, "Using Quantile Regressions to Examine the Capital Structure Decision of US Firms," Global Conference on Business and Finance Proceedings, Vol.9, No.1, pp.321-328, 2014.
  11. H. Kim, "Categorical Financial Analyses on the Level of Corporate Cash Reserves for Korean Chaebol Firms in the Post-Era of the Global Financial Crisis," J. of Contents Association, Vol.16, No.2, pp.729-739, 2016.
  12. https://stats.idre.ucla.edu/sas/output/multinomi al-logistic-regression/
  13. S. Chan, K. Martin, and J. Kensinger, "Corporate Research and Development Expenditures and Share Value," Journal of Financial Economics, Vol.26, pp.255-276, 1990. https://doi.org/10.1016/0304-405X(90)90005-K
  14. H. Quin, K. Zhong, and Z. Zhong, "Seasoned Equity Issuers' R&D Investments: Signaling or Overoptimism," Journal of Financial Research, Vol.35, No.4, pp.553-580, 2012. https://doi.org/10.1111/j.1475-6803.2012.01328.x
  15. R. Ramanathan, Introductory Eonometrics with Applications (2nd edition), The Dryden Press, 1992.
  16. P. Allison, Logistic Regression Using SAS: Theory and Application (2nd ed.), SAS Institute, 2012.
  17. L. Chan, J. Lakonishok, and T. Sougiannis, "The Stock Market Valuation of Research and Development Expenditures," Journal of Finance, Vol.56, No.6, pp.2431-2456, 2001. https://doi.org/10.1111/0022-1082.00411
  18. C. Shi, "On the trade-off between the future benefits and riskness of R&D: a bondholders' perspective," Journal of Accounting and Economics, Vol.35, pp.227-254, 2003. https://doi.org/10.1016/S0165-4101(03)00020-X