한국빅데이터학회지 (The Journal of Bigdata)

  • 제5권2호
  • /
  • Pages.97-110
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  • 2020
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  • 2508-1829(pISSN)
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  • 2713-6361(eISSN)
한국빅데이터학회 (Korea Bigdata Society)
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글로벌 팬데믹 상황에서의 긴급지원금 예산 배분 정책에 대한 연구

Budget Allocation for Emergency Support Funding System During Global Pandemic

  • 박기군 (부산대학교 산업공학과) ;
  • 김도희 (부산대학교 산업공학과) ;
  • 김슬기 (부산대학교 산업공학과) ;
  • 최지원 (부산대학교 산업공학과) ;
  • 배혜림 (부산대학교 산업공학과)
  • 투고 : 2020.11.20
  • 심사 : 2020.12.23
  • 발행 : 2020.12.31
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⟨ 이전 논문 다음 논문 ⟩

초록

2020년에 발생한 글로벌 펜데믹 현상은 전 세계에 큰 경제 충격을 주었으며, 그 충격은 특히 유동인구 및 관광산업에 영향을 많이 받는 자영업자들에게 더 크게 작용을 하였다. 이 문제를 해결하기 위해 각 국가에서는 긴급재난지원 정책을 실행하는데, 그 기준과 범위를 선정하는 것에 어려움이 존재하였다. 위 문제를 해결하기 위하여 본 논문에서는 다음의 연구를 진행하였다. 첫째, 글로벌 펜데믹이 지역경제에 미치는 영향을 분석한 후, 그 충격을 직관적으로 설명할 수 있는 지표를 정의하였다. 둘째, 정의된 지표를 활용하여 최적의 예산정책을 지급하는 선형 모형을 수립하였다, 제시된 모형은 정부에서 쉽고 빠르게 고려할 수 있는 경제 충격지표와 최적의 해를 제시한다. 마지막으로 제안된 연구모형의 한계점과 시사점에 대해 소개한다.

The global pandemics occurred in 2020 had a great economic impact on the world, and the impact was especially greater on self-employed people who were heavily affected by the floating population and tourism industry. To solve this problem, each country implemented emergency disaster support policies, and it was difficult to select the criteria and scope. The following research carried out two results. First, after analyzing the impact of global pandemics on the local economy, an economical index was defined that could explain the impact intuitively. Second, we propose linear programming methods to provide optimal budget policy using defined indicators, which present economic shock indicators and optimal years that can be considered quickly and easily by the government. Finally, the limitations and implications of the proposed study model are introduced.

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