Medium-Small and Venture Firm Size Distribution and Trade Welfare

중소벤처기업규모와 무역후생

  • Cho, Sang Sup (Department of Digital Technology, Hoseo University) ;
  • Min, Kyung Se (Department of Economics, Hanbat National University)
  • Received : 2017.09.11
  • Accepted : 2017.12.08
  • Published : 2017.12.31

Abstract

This study is an empirical analysis of the welfare of small and medium venture company trade. In the past, although the study analyzes the trade welfare for representative firm, this research is focusing on the distribution of an entire industry of companies analyzed. In this study, medium-to venture enterprise-scale for logarithmic normal distribution and Pareto distribution is estimated, and this study investigates the trading welfare changes. Results of the analysis can be summarized as follows. First of all, greater trade benefits enterprise-scale heterogeneity appeared to be significant. The result of this finding appeared to be the same to large firms as well as small and medium ventures. Trading welfare, assuming the distribution of Pareto rather than logarithmic normal distribution it's supposed to be overwhelmingly large. Secondly, the case of large corporations shows the more trade welfare than that of small and medium venture companies. Third, assuming homogeneous distribution of enterprise-scale trade welfare differences did not exist. Finally, from the point of view of increasing the welfare of trade, the diversity aiming of venture business is a very important role in the long term, because of the small and medium-sized ventures trade role.

본 연구는 중소벤처기업무역이익에 관한 실증적 분석을 위하여 수행되었다. 그간 무역후생에 대한 연구들이 우리나라 전체 기업규모를 대상으로 수행되었거나, 대표적 기업(평균)을 중심으로 이루어졌으나, 본 연구에서는 중소벤처기업과 대기업을 분리하여 파레토 및 대수 정규기업규모분포에 대한 결정모수를 추정하고, 이 자료를 바탕으로 무역이익을 분석하였다. 분석결과는 다음과 같이 요약된다. 첫째, 기업규모의 이질성이 클수록 무역후생이 크게 나타났다. 이 결과는 중소벤처기업 및 대기업의 경우에도 동일하게 나타났다. 무역이익은 파레토규모분포를 가정할 경우 대수정규분포를 가정한 경우보다 압도적으로 크게 나타났다. 둘째, 대기업의 경우가 중소벤처기업의 경우보다 무역후생이 크게 나타났다. 이 분석결과는 대기업규모분포가 중소벤처기업규모분포보다 이질성이 더 크기 때문에 나타난 결과이다. 셋째, 기업규모분포가 동질적이라고 가정할 경우에 무역후생의 차이가 존재하지 않았다. 마지막으로 본 연구의 정책적 시사점으로 무역후생증대의 관점에서 기업규모이질성은 매우 중요한 역할을 차지한다. 중장기적으로 중소벤처기업의 다양성을 증대시키는 중소벤처기업정책이 필요한 이유이다.

Keywords

References

  1. Axtell, R. L.(2001). Zipf Distribution of U.S. Firm Sizes, Science, 293(5536), 1818-1820. https://doi.org/10.1126/science.1062081
  2. Barabasi, A. L., & Albert, R.(1999). Emergence of Scaling in Random Networks, Science, 286(5439), 509-512. https://doi.org/10.1126/science.286.5439.509
  3. Bee, M., & Schiavo, S.(2015). Powerless: Gains fro Trade When Firm Productivity is not Pareto Distributed, OFCE Working Paper, 2015-19.
  4. Clauset, A., Shalizi, A., & Newman, M.(2009). Power-law Distributions in Empirical Data, SIAM Review, 51,(4) 661-703. https://doi.org/10.1137/070710111
  5. Combes, P. P., Duranton, G., Gobillon, L., Puga, D., & Roux, S.(2012). The Productivity Advantages of Large Cities: Distinguishing Agglomeration from Firm Selection, Econometrica, 80(6), 2543-2594. https://doi.org/10.3982/ECTA8442
  6. Di Giovanni, J., & Levchenko, A. A.(2013). Firm Entry, Trade, and Welfare in Zipf's World, Journal of International Economics, 89(2), 283-296. https://doi.org/10.1016/j.jinteco.2012.08.002
  7. Gabaix, X.(2009). Power Laws in Economics and Finance, Annual Review of Economics, 1, 255-293. https://doi.org/10.1146/annurev.economics.050708.142940
  8. Head, K., Mayer, T., & Thoenig, M.(2014). Welfare and Trade without Pareto', American Economic Review, 104(5), 30103-30116.
  9. Kim, K. D., & Hong, Y. S.(2011). Effect of Firm's Activities on Their Performances, Journal of Korea, Technology Innovation Society, 14(2), 373-404.
  10. Kim, Y. K., Park, H. L., Kim, H, Y., & Lee, H. R.(2016). Determinants of Korea's import structure and its impact on firm size distribution, KIEP.
  11. Kleiber, C., & Kotz, S.(2003). Statistical Size Distributions in Economics and Actuarial Sciences, John Wiley & Sons, Inc.
  12. Melitz, M. J., & Redding, S. J.(2015). New Trade Models, New Welfare Implications, American Economic Review, 105(3), 1105-1146. https://doi.org/10.1257/aer.20130351
  13. Ministry of SEMs and Startups(2016). Annual Report on SMEs, Daejeon; Ministry of SEMs and Startups.
  14. Pisarenko, V., & Sornette, D.(2006). New Statistic for Financial Return Distributions: Power Law or Exponential?, Physica A, 366, 387-400. https://doi.org/10.1016/j.physa.2005.10.015
  15. Reed, W., & Hughes, B.(2002). From Gene Families and Genera to Incomes and Internet File Sizes: Why Power Laws are So Common in Nature, Physical Review E, 66, 067-103.
  16. Rossi-Hansberg, E., & Wright, M. L.(2007). Establishment Size Dynamics in the Aggregate Economy, American Economic Review, 97(5), 1639-1666. https://doi.org/10.1257/aer.97.5.1639
  17. Simon, H.(1955). On a Class of Skew Distribution Functions., Biometrika, 42(3-4), 425. https://doi.org/10.1093/biomet/42.3-4.425
  18. Virkar, Y., & Clauset, A.(2014). Power-law Distributions in Binned Empirical Data, Annals of Applied Statistics, 8(1), 89-119. https://doi.org/10.1214/13-AOAS710