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한국·미국 핀테크(FinTech) 산업의 고용창출효과 비교 연구

A Comparative Study on the Employment Creation Effect of FinTech Industry in Korea and USA

  • 신용재 (삼육대학교 경영정보학과)
  • Shin, Yong Jae (Department of Management Information Systems, Sahmyook University)
  • 발행 : 2018.12.28

초록

본 연구는 한국과 미국의의 핀테크 산업 고용창출효과를 비교분석하여 한국의 핀테크 산업의 발전을 모색하고자 한다. 분석에 사용된 산업연관표는 한국과 미국 모두 동일한 산업분류와 통화 단위로 구성된 WIOD를 이용하였다. 또한 분석을 위해 핀테크 산업을 ICT분야와 금융분야를 하나의 산업으로 구성 하였다. 뿐만 아니라 본 연구는 두 국가의 핀테크 산업 특성을 구분하기 위해 핀테크 산업 외에도 ICT분야와 금융분야의 고용창출효과도 함께 비교하였다. 분석결과, 한국은 핀테크 산업에 100만 달러의 투자 또는 생산이 이루어질 때 취업유발효과는 11.33명, 고용유발효과는 9.47명으로 총20.8명의 고용창출효과를 나타냈고 미국의 경우 취업유발효과는 8.07명, 고용유발효과는 7.72명으로 고용창출효과는 총15.79명으로 나타났으나 절대적인 비교에서는 한국이 더 높게 나타났다. 하지만 국가 산업 전체 평균 고용창출효과를 기준으로 분류한 결과 한국의 핀테크 산업은 고용유발효과가 높은 고용유발우위 산업으로 미국은 취업유발효과와 고용유발효과가 모두 높은 고용창출우위 산업으로 분류되었다.

This study aims to explore the development of FinTech industry in Korea by comparing and analyzing the effect of job creation in the FinTech industry in Korea and the US. The industry Input-Output table used in the analysis used WIOD, which is composed of the same industrial classification and monetary unit in both Korea and the US. For the analysis, the FinTech industry is composed of ICT sector and financial sector as one industry. This study also compares the employment creation effect in the ICT sector and the financial sector, in addition to the FinTech industry, in order to distinguish the FinTech industry characteristics of the two countries. As a result of the analysis, when the investment or production of 1 million US dollars was made in the FinTech industry in Korea, the employment inducement effect was 11.33 and the employment inducement effect was 9.47, indicating a total employment creation effect of 20.8 persons. In the United States, the Direct employment effect was 8.07 and the indirect employment effect was 7.72, indicating that the employment creation effect was 15.79. However, as a result of classification by the average employment creation effect of the national economy, Korea 's FinTech industry is classified as indirect employment advantage with a high indirect employment inducement effect and the United States is classified as an employment creation advantage with high both direct and indirect employment inducement effect.

키워드

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Fig. 1. World FinTech Market

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Fig. 2. World & Asia FinTech Investment

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Fig. 5. Comparison of Employment Creation Effects between Korea and US FinTech Industry

Table 1. Re-classification of FinTech industry

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Table 2. Industry classification by the Employment Creation Effects

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Table 3. Employment creation effect of FinTech in Korea

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Table 4. Employment creation effect of FinTech in USA

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Table 5. Comparing Employment Characteristics Classification by Industry in Korea and USA

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참고문헌

  1. K. J. Ju, M. H. Lee, H. J. Yang & D. J. Ryu. (2016). FinTech, Financial Industry, and Policy Implications, Korean Journal of Financial Studies, 45(1), 145-170.
  2. D. H. Park. (2014). Implications of FinTech from the point of view of convergence between industries, Internet & Security Focus, November, 2014, 4-17.
  3. UK Trade & Investment. (2014). FinTech: the UK's unique ecosystem for growth.
  4. Financial Supervisory Service. (2018). FinTech trends and implications, 2018. http://acct.fss.or.kr/fss/kr/promo/bodobbs_view.jsp?seqn o=21343&no=13824&s_title=&s_kind=&page=3
  5. Bruno et al. (2015). The Future of Financial Services-How disruptive innovations are reshaping the way financial services are structured, provisioned and consumed, World Economic Forum.
  6. H. S. Jin. (2017). FinTech Revolution and Finance Transformation, software policy institute, Monthly SW centered society, March, 2017. https://spri.kr/posts/view/21726?code=industry_trend
  7. S. Y. Park. (2015). FinTech: New growth engine of the financial industry, Industrial engineering magazine, 22(4).
  8. B. W. Kim. (2015). A Study on the Activation of Domestic FinTech Industry, Korean Business Education Association, 26(1), 47-73.
  9. KPMG. (2017). Analysis of domestic and foreign FinTech regulation trends, Issue Monitor, 71. https://home.kpmg.com/kr/ko/home/insights/2017/05/issue-monitor-71.html
  10. S. H. Ok & K. T. Hwang. (2017). A Study on the Development of the Korean Internet Banks, Journal of Digital Convergence, 15(12), 111-126. https://doi.org/10.14400/JDC.2017.15.12.111
  11. D. G. Lee & S. H. Lee. (2015). New Fusion Type of Bank and IT, Korean Institute of Information Technology Magazine, 13(1), 55-58.
  12. S. H. Lee & D. W. Lee. (2015). FinTech-Conversions of Finance Industry based on ICT, Journal of the Korea Convergence Society, 6(3), 97-102. https://doi.org/10.15207/JKCS.2015.6.3.097
  13. Y. Jeong, H. Y. Park & C. Park. (2018). An Analysis of Economic Effects of The FinTech Industry, Journal of Information Technology Services, 17, 47-58.
  14. S. W. Choi & Y. J. Shin. (2015). Economy Effects of IT Industry on Financial and Insurance Services, Journal of Digital Convergence, 13(1), 191-203. https://doi.org/10.14400/JDC.2015.13.1.191
  15. J. S. Lee & J. H. Park. (2018). The Effects of Characteristics of User and System on the Perceived Cognition and the Continuous Use Intention of FinTech, Journal of the Korea Convergence Society, 9(1), 291-301. https://doi.org/10.15207/JKCS.2018.9.1.291
  16. J. Joo. (2017). Understanding Acceptance of FinTech Service in Korea: Focused on Decomposed TPB into TAM, Journal of Digital Convergence, 5(4), 171-179.
  17. Y. J. Lee & S. I. Kim. (2017). Evaluation for User Experience about Service of FinTech - Mainly with Analysis on 'Kakaopay' and 'Naverpay' -, Journal of Digital Convergence, 15(4), 387-393. https://doi.org/10.14400/JDC.2017.15.4.387
  18. Y. M. Kang, Y. G. Lee, H. J. Kwon, K. S. Han & H. S. Chung. (2016). A Study on the Information Security System of Fin-Tech Business, Journal of Convergence for Information Technology, 6(2), 19-24. https://doi.org/10.14801/jaitc.2016.6.2.19
  19. S. S. Shin, Y. S. Jeong & Y. J. An. (2015). A Study of Analysis and Response and Plan for National and International Security Practices using Fin-Tech Technologies, Journal of Convergence for Information Technology, 5(3), 1-7. https://doi.org/10.22156/CS4SMB.2015.5.3.001
  20. Bank of Korea. (2011). Input-Output Table 2009.
  21. Bank of Korea. (2007). Input-Output Table Explanation.
  22. R. E. Miller & P. D. Blair. (1985). Input-Output Analysis: Foundations and Extensions, Prentice-Hall.
  23. WIOD. (2016). http://www.wiod.org/home
  24. H. Y. Kim, S. S. Euh, Y. D. Jun & S. H. Yoo. (2014). An Analysis on the Effect of Industrial Technology R&D Investment on Employment, Journal of Korea technology innovation society, 17(4), 651-672.