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http://dx.doi.org/10.36498/kbigdt.2020.5.2.97

Budget Allocation for Emergency Support Funding System During Global Pandemic  

Park, Ki-Kun (부산대학교 산업공학과)
Kim, Do-Hee (부산대학교 산업공학과)
Kim, Seul-Gi (부산대학교 산업공학과)
Choi, Ji-Won (부산대학교 산업공학과)
Bae, Hye-Rim (부산대학교 산업공학과)
Publication Information
The Journal of Bigdata / v.5, no.2, 2020 , pp. 97-110 More about this Journal
Abstract
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.
Keywords
Global Pandemic; Economic Impulse; Emergency Support; Budget policy;
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