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http://dx.doi.org/10.6109/jkiice.2021.25.3.384

The Analysis of Correlation Between COVID-19 and Seoul Small Business Commercial Districts  

Kim, Jae-Ho (Department of Computer Science, The University of Suwon)
Kim, Jang-Young (Department of Computer Science, The University of Suwon)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.25, no.3, 2021 , pp. 384-388 More about this Journal
Abstract
Currently, whether in a domestic or international sphere, many small businesses are suffering due to COVID-19. The grim reality is that several businesses are shutting down. While the national disaster relief grant was used to contain the damages by encouraging consumer spending, it has become difficult to prevent closures of small businesses. As of September 2020, more than 20,000 stores have closed in Seoul due to the COVID-19 pandemic. There has also been an increase in the number of people with depression caused by the COVID-19 blues. This issue is not only confined to Seoul in the Republic of Korea, but is influencing all other areas affected by the pandemic. As the number of COVID-19 patients increase, the number of open stores is decreasing steadily. The analysis of the correlation coefficient of Pearson, Spearman, and Kendall suggests a negative correlation between the number of COVID-19 patients and the number of stores in business.
Keywords
COVID-19; Correlation; Pearson correlation coefficient; Spearman correlation coefficient; Kendall's correlation coefficient;
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  • Reference
1 Federation of Small Business Association, Concerning the survey of the impact of small business owners on Corona19, [Internet]. Available: http://www.kfme.or.kr/home/homeIndex.do.
2 WHO Coronavirus Disease (COVID-19), [Internet]. Available: https://www.who.int/emergencies/diseases/novel-coronavirus-2019/question-and-answers-hub/q-a-detail/coronavirusdisease-covid-19.
3 S. L. Bae, "Factors Affecting Small Business Opening and Closure : Comparison before and after the Rise of Minimum WageUsing Big Data of Seoul Metropolitan," Hanyang University Graduate School, Department of Business Infomatics, Feb. 2020.
4 S. Y. Yoon, "A study on the impact of local trademark characteristics on self-employed business rates: mainly in 25 autonomous regions of Seoul," Business and Innovation Research, vol. 42, no. 3, pp. 21-39, Sep. 2019.
5 K. S. Lee and S. H. Park, "Geographical Characteristics of Business Start-up and Closing Business according to the Type of Industry," Korean Economic Geography Society Publication, vol. 22, no. 2, pp. 178-195, Jun. 2019.   DOI
6 S. J. Oh, Data Analysis with R,1th ed, HanBit Academy, ch. 11, pp. 381-419, 2019.
7 Comparison of Pearson and Spearman correlation methods, Minitab, LLC. [Internet]. Available : https://support.minitab.com/ko-kr/minitab/18/help-and-how-to/statistics/basic-statistics/supporting-topics/correlation-and-covariance/a-comparison-of-the-pearson-and-spearman-correlation-methods/.
8 Y. S. Suh, "Historical Review of Independence Test: From Cai-Square Test to Boost Wrapping Method," Korea Educational Evaluation Society of Education Evaluation Research, vol. 33, no. 2, pp. 323-351, Jun. 2020.   DOI