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An Economic Ripple Effect Analysis of Domestic Supercomputing Modeling and Simulation

슈퍼컴퓨팅 모델링 및 시뮬레이션의 산업연관분석 기반 경제적 파급효과 분석

  • 김명일 (한국과학기술정보연구원 가상설계센터) ;
  • 박성욱 (한국과학기술정보연구원 NTIS센터) ;
  • 김재성 (한국과학기술정보연구원 가상설계센터)
  • Received : 2016.10.11
  • Accepted : 2016.11.10
  • Published : 2016.11.30

Abstract

Since the 1970s, manufacturing has been one of the key driving forces that has led to Korea's economic growth. However, this growth rate has been reduced significantly since the 2000s, and shows that revenues and employment are steadily decreasing. In addition, while manufacturing investment in Korea has dropped sharply, the United States, Germany, Japan, and other major countries have increased investment in manufacturing. These countries have promoted manufacturing innovation strategies that include the convergence of information and communications technologies (ICT) and manufacturing. For manufacturing innovation, it is important for time and cost savings required for product development to be achieved by changes in the production process, especially product design. Modeling and simulation (M&S) is a process that replaces physical product design, mockup making, and testing, with virtual product creation (modeling) and engineering analysis (simulation). In this paper, we analyze the economic ripple effect of supercomputing M&S using an input-output model technique based on the input-output tables published by the Bank of Korea. When we set the M&S budget (about US$16 million for the last 10 years) of the Korea Institute of Science and Technology Information (KISTI) as input coefficients, the effect on production inducement, value-added inducement, and employment inducement was analyzed to be US$24 million, US$13.4 million, and 267, respectively.

Keywords

Economic Ripple Effect;Manufacturing;Modeling;Simulation;Supercomputing

Acknowledgement

Supported by : 한국과학기술정보연구원

References

  1. S. Y. Kim and E. C. Lee, First Mover Strategy of Manufacturing in Korea, pp. 1-11, POSRI Report, 2015.
  2. Samuel R. Allen, Joseph Echevarria and Deborah L. Wince-Smith, 2013 Golobal Manufacturing Competitiveness Index, pp. 1-80, Deloitte and U.S. Council on Competitiveness, 2012.
  3. John Lee, VIP Report: Status Assessment and Implications for Manufacturing Innovation Policy, pp. 1-20, Hyundai Research Institute, 2014.
  4. Yong-Yul, Kim, "Manufacturing Innovation and HPC(High Performance Computing) Utilization", Journal of Korea Technology Innovation Society, vol. 19, no. 2, pp. 231-253, 2016.
  5. TechNavio, CAE Market in EMEA Region 2014-2018, pp. 1-134, TechNavio, 2013.
  6. Jaesung Kim, et al., Supercomputing Modeling & Simulation for Smart Manufacturing Innovation, pp. 1-396, KISTI, 2015.
  7. K. W. Hong, H. C. Kim and J. T. Lee, "The Analysis of Economic Effect of School Food service using the Input-Output Analysis", Journal of the Korea Academia-Industrial Cooperation Society, vol. 11, no. 10, pp. 3747-3755, 2010. DOI: http://dx.doi.org/10.5762/KAIS.2010.11.10.3747 https://doi.org/10.5762/KAIS.2010.11.10.3747
  8. B. G. Jee, T. G. Kim and G. H. Lee, "Economic Impact of Tourism Industry in Korea - An Input-Output Analysis", Journal of the Korea Academia-Industrial Cooperation Society, vol. 12, no. 7, pp. 3039-3045, 2011. DOI: http://dx.doi.org/10.5762/KAIS.2011.12.7.3039 https://doi.org/10.5762/KAIS.2011.12.7.3039
  9. S. U. Park and S. H. Han, "An Economic Ripple Effect Analysis of National Scientific Data Center Construction", Journal of Information Management, vol. 42, no. 3, pp. 55-69, 2011. DOI: http://dx.doi.org/10.1633/jim.2011.42.3.055 https://doi.org/10.1633/JIM.2011.42.3.055
  10. The Bank of Korea, 2013 Updated Input-Output Tables, Economic Statistics System[Internet], The Bank of Korea, c2016, Available From: http://ecos.bok.or.kr/. (accessed Aug., 10, 2016)

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