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Discovering locally customized and future promising industries using patent analysis : Centered on the Case of Busan city

특허 분석을 통한 지역맞춤형 미래유망산업 발굴 및 도출에 관한 연구 : 부산 지역 사례를 중심으로

  • 김현우 (한국과학기술정보연구원) ;
  • 심위 (한국과학기술정보연구원) ;
  • 권오진 (한국과학기술정보연구원) ;
  • 노경란 (한국과학기술정보연구원 과학계량연구실)
  • Received : 2016.10.26
  • Accepted : 2017.02.24
  • Published : 2017.02.28

Abstract

The aim of this paper is to suggest methodology for local governments when discovering locally customized future promising industries with regard to policies of central government, regional competencies, and industrial promising. Firstly, key industries by region specified in '5-years regional industrial development master plan(2014)' were utilized. Secondly, science and technology competency by region was calculated with analyzing patent data in each key industries. Thirdly, industrial promising was verified by calculating Knowledge Stock and Activity Index based on measuring industry-IPC linkage. Based on the methodology proposed above, case study(case of Busan city) was done. Finally, 7 core industries and 94 candidates of future promising industries were extracted on the basis of 5 digit of KSIC subdivision. The methodology is expected to contribute local governments to establish evidence-based, efficient, and future-oriented local R&D roadmapping.

본 연구에서는 지역자치단체의 관점에서 정부 정책, 지역 역량, 산업 유망성 등을 모두 고려한 지역 맞춤형 미래 유망 산업 발굴 방법을 제시하고자 한다. 이를 위하여 정부의 '5개년 지역산업발전 종합계획(2014)'에 명시된 지역별 주력/협력산업 자료를 활용하였으며, 해당 산업군의 특허 데이터를 분석하여 지역별 과학기술 역량을 측정하였다. 또한 산업별로 연결된 IPC(: International Patent Classification)를 토대로 지식스톡(Knowledge Stock')과 연구활동지수(Activity Index) 등을 산출하여 세부산업별 유망성을 확인하였다. 부산 지역을 대상으로 사례분석을 실시한 결과, 한국표준산업분류 세세분류(5자리)를 기준으로 부산의 유망산업 예비 후보군 94개 분야 및 유망산업 핵심 산업군 7개 세세분야를 도출하였다. 본 연구에서 제시하는 방법론은 지방자치단체가 근거기반의 효율적이고 미래지향적인 지역 개발 로드맵을 수립하는데 기여할 수 있을 것이다.

Keywords

References

  1. Presidential Committee on Regional Development, "The new local development policies leading national happiness and regional integration," Technical Report, Jun, 2013.
  2. S. Ahn, W. Shim, J. Lee, O. Kwon, and K. Noh, "Trends Detection of Display Research Areas by Bibliometric Analysis," J. of Korea Institute of Electronic Communication Science, vol. 7, no. 6, 2012, pp. 1343-1351. https://doi.org/10.13067/JKIECS.2012.7.6.1343
  3. M. Yoon, H. Oh, W. Lee, G. Park, and S. Park., "Strategic Planning Methodology for National D&D Projects of Emerging Technology: Integrated Procedure of TRM and KM," Science and Technology Policy Institute(STEPI), Dec, 2004.
  4. M. Huang, "Constructing a Patent Citation Map Using Biblographic Coupling : A Study of Taiwan's High-Tech Companies," Scientometrics, vol. 58, no. 3, 2003, pp. 489-506. https://doi.org/10.1023/B:SCIE.0000006876.29052.bf
  5. H. Ernst, Evaluation of Dynamical Technological Developments by means of Patent data. New York: Springer, 1999.
  6. S. You, "A Study on the Forecasting Model of Technology Life Cycles by Analysis of US Patent Citation," J. of Information Management, vol. 35, no. 1, 2004, pp. 93-112. https://doi.org/10.1633/JIM.2004.35.1.093
  7. S. Cozzens, S. Gatchair, J. Kang, K. Kim, H. Lee, G. Ordonez, and A. Porter, "Emerging technologies: quantitative identification and measurement," Technology Analysis & Strategic Management, vol. 22, no. 3, 2010, pp. 361-376. https://doi.org/10.1080/09537321003647396
  8. H. Shin, O. Kwon, J. Park, Y. Shon, and Y. Bae, "Analysis of International Relation through Analysis of Research Network of Nation and Organization in Micro Battery and Energy Harvesting," J. of Korea Institute of Electronic Communication Science, vol. 8, no. 10, 2013, pp. 1457-1466. https://doi.org/10.13067/JKIECS.2013.8.10.1457
  9. H. Shin, O. Kwon, Y. Koo, Y. Shon, and Y. Bae, "Scientometric Analysis through Linkage Relation of Keyword," J. of Korea Institute of Electronic Communication Science, vol. 8, no. 10, 2013, pp. 1467-1476. https://doi.org/10.13067/JKIECS.2013.8.10.1467
  10. Korea Institute of Science and Technology Information, "Analysis on Promising future technologies centered on Chungnam's focused and cooperative industries," Technical Report, Dec,, 2014.
  11. N. van and L. Waltman, "Software survey: VOSviewer, a computer program for bibliometric mapping," Scientometrics, vol. 84, no. 2, 2014, pp. 523-538. https://doi.org/10.1007/s11192-009-0146-3