DOI QR코드

DOI QR Code

A Case Study on the Need for Diagnosis of Current Issues and Policy Support in Marine Space: Focusing on the Specialized Marine Industry in Incheon

해양공간의 현안진단 및 정책지원 필요성에 대한 사례연구 : 인천지역 해양특화산업을 중심으로

  • 이정은 (더브릿지전략컨설팅(주)) ;
  • 정민의 (더브릿지전략컨설팅(주))
  • Received : 2022.10.31
  • Accepted : 2022.12.28
  • Published : 2022.12.31

Abstract

In this study, the specialized marine industry in the area (Incheon) of the case study was identified and the issues related to the current status of marine space utilization were diagnosed. Marine space utilization was selected as the specialized marine industry activity in Incheon through the location quotient index analysis of the marine industry in the target area. A case review of the Yeongheungdo demonstration area and diagnosis of issues in the marine energy development sector with the lowest degree of specialization was conducted, to solve field problems such as overlapping problems in marine-use zones and civil complaints between stakeholders. It was concluded that it is necessary to prepare a policy decision support system based on objective and quantitative grounds.

본 연구에서는 사례연구 대상지역(인천)의 특화산업에 대해 LQ지수분석을 통해 해양특화산업을 도출하고, 특화산업의 해양공간 활용현황과 용도구역 설정에 따른 현안을 진단하였다. 대상지역의 해양산업에 대한 LQ지수(Location Quotients, LQ) 분석을 통해 사업체수 기준 LQ지수 1.08, 종사자수 기준 LQ지수 1.67로 전국평균 대비 높은 해양바이오산업을 인천지역 해양특화산업으로 선정하였다. 해양특화산업인 해양바이오산업의 현안진단을 위해 영흥도 실증 배양장 사례 검토 및 가장 낮은 특화도를 나타낸 해양에너지개발 부문에서의 현안 진단을 통해 해양용도구역의 중첩문제, 이해관계자간 민원발생 이슈 등 현장문제 해결을 위해서 객관적이고 정량적 근거를 기반으로 정책의사결정지원시스템 마련이 필요하다는 결론을 제시하였다.

Keywords

Acknowledgement

이 논문은 2022년도 해양수산부 재원으로 해양수산과학기술진흥원의 지원을 받아 수행된 연구임(과제번호 20220431, 해양공간 정책시뮬레이터 기술개발).

References

  1. Busan Metropolitan City(2018), As of 2017, Busan Metropolitan City Marine Industry Survey Results. 
  2. CBS nocutnews(2021), https://www.nocutnews.co.kr/news/5661454. 
  3. Incheon Metropolitan City(2021), Incheon Marine Space Management Plan. 
  4. Incheon Metropolitan City(2022), https://www.incheon.go.kr/eco/ECO010104. 
  5. Joe, J. H.(2001), Oceanography, Chosun University Press. 
  6. Kim, B. K., K. Y. Hong, Y. S. Choi, K. S. Min, and J. M. Kim(2016), A Study on Standard and Conversion for Marine Spatial Information. 
  7. Kim, C. K.(2021), Legal study for marina industry development implied by the marine spatial management system. 
  8. Korea Institute of Marine Science & Technology Promotion (KIMST)(2017), National Science and Technology Standard Classification (Sea Fisheries Science and Technology Classification System). 
  9. Kwak, S. J., S. H. Yoo, and C. O. Shin(2002), Application of the Delphi Method to Analyzing Domestic Marine Industry: Prospects and Policy Issues, Korea Institute of Marine Science. 
  10. Lee, M. S. and A. R. Jang(2017), Direction on Marine Spatial Management Policy Regarding Marine Aggregate extraction. 
  11. Lee, S. M., J. M. Kim, W. J. Lee, and Y. S. Choi(2021), Study on Creating of Industrial Ecosystem by Localization of Next Generation Marine Spatial Information Technology. 
  12. Ministry of Oceans and Fisheries(MOF)(2019a), The 1st Basic Plan for Ocean Space. 
  13. Ministry of Oceans and Fisheries(MOF)(2019b), Enforcement Rules of the Marine Space Planning and Management Act. 
  14. Ministry of Oceans and Fisheries(MOF)(2021), 2020 Trends in Integrated Marine Space Management. 
  15. Ministry of Oceans and Fisheries, Integrated Marine Space Management Information System(2022), https://www.msp.go.kr/service/system.do. 
  16. Naver Map(2022), https://map.naver.com/v5/search/gulupdo?c=14035966.8833830,4491617.4839177,9.16,0,0,1,dh. 
  17. Park, J. S. and G. K. Lee(2015), Win-Win Strategy of Coastal Spatial Planning for Marine Sports Leisure Industry and Fishing Village Cooperatives. 
  18. Park, Y. S.(2020), Uncertainty about offshore wind and confusion in energy policy, Electric Power, 14(7), pp. 46-49. 
  19. Statistics Korea(KOSTAT)(2018), Special Classification System for Marine Fisheries. 
  20. Statistics Korea(KOSTAT)(2021), Nationwide survey of businesses. 
  21. The Global Network of Korean Scientists & Engineers(2014), https://kosen.kr/webzine/142/20?cornerSeq=1627. 
  22. Yoon, H. Y., S. I. Chang, and D. H. Jang(2019), The Locational Distribution Characteristics Analysis of Social Innovation Enterprise by Using Location Quotient and Multiple Regression Analysis in the Chungcheong Region, Journal of the Association of Korean Geographers, Vol. 8, pp. 95-108. https://doi.org/10.25202/JAKG.8.1.8