dc.contributor.advisor | | |
dc.contributor.author | Fitriadi, Fitriadi | |
dc.contributor.author | Jiuhardi, Jiuhardi | |
dc.contributor.author | Busari, Arfiah | |
dc.contributor.author | Ulfah, Yana | |
dc.contributor.author | Hakim, Yundi Permadi | |
dc.contributor.author | Kurniawan A., Erwin | |
dc.contributor.author | Darma, Dio Caisar | |
dc.date.accessioned | 2022-06-07T15:55:01Z | |
dc.date.available | 2022-06-07T15:55:01Z | |
dc.date.issued | 2022-06-07 | |
dc.identifier.issn | 2610-9182 | |
dc.identifier.uri | http://repository.unmul.ac.id/handle/123456789/38140 | |
dc.description | The intensity of COVID-19 is a barrier to its tested socioeconomic in this study. Three structures of correlation analysis: Pearson, Kendall’s, and Spearman’s conclude two different findings. From the Pearson method, it is confirmed if the four hypotheses are rejected, while the five hypotheses are accepted. Uniquely, when the COVID-19 pandemic hit Indonesia, per capita spending increased. After that, unemployment and poverty levels actually decreased in the 2020-2022 period. Not much different, referring to two different approaches, which show that labor productivity and poverty increased by 33.3% (Kendall’s) and 50% (Spearman’s) after the pandemic. Meanwhile, in the Pearson correlation, it is exactly the opposite, where both aspects decrease by 2.4% (poverty) and 10.7% (labor productivity). Therefore, five hypotheses were accepted, and the rest were rejected.
To our knowledge, there have been many studies discussing the effects of COVID on socioeconomic, especially in Indonesia. However, nothing has combined the causality between COVID-19 and migration, mortality, domestic violence, sexual harassment, per capita spending, well-being, unemployment, poverty, and labor productivity. Therefore, this study is very selective in providing new knowledge to stakeholders. In addition, based on empirical testing, it also pioneered the importance of portraits of the socioeconomic dynamics of an unexpected disease outbreak. It carried health campaigns out in the context of disaster mitigation. | en_US |
dc.description.abstract | In the 21st century, the tragedy of the pandemic shocks the world. This non-natural disaster is called
COVID-19. Its dominant effect is also worrying about social and economic conflicts at local,
national, and even international levels. The orientation of this research is to investigate the impact of
COVID-19 on the socioeconomic aspects in Indonesia from 2020-2022. We set the research using
official/secondary publications. Data analysis was interpreted in three formats: Pearson, Kendall’s,
and Spearman’s correlations. It channelled empirical testing through Microsoft Excel and SPSS
v.25. Social items include migration, mortality, domestic violence, and sexual harassment, while the
nine economic items are per capita spending, well-being, unemployment, poverty, and labor
productivity. Then, statistical instruments were reviewed based on the correlation coefficient and
level of significance (5% for Pearson and 1% for Kendall’s and Spearman’s). The results are not
much different between Pearson’s approach, Kendall’s and Spearman’s. In Pearson model, it proved
a negative correlation when COVID-19 increases, so migration, unemployment, poverty, and labor
productivity decrease. COVID-19 has had a positive impact on mortality, domestic violence, sexual
harassment, per capita spending, and well-being. In Kendall’s and Spearman’s tests, poverty and
labor productivity have actually increased because of COVID-19. Implementing semi-lockdown is a
priority so that the social and macroeconomic constellations continue without ignoring the latent
dangers of COVID-19. The limitations of the study are discussed in the future. | en_US |
dc.description.sponsorship | Fakultas Ekonomi & Bisnis, Univ. Mulawarman & internal authors | en_US |
dc.language.iso | en | en_US |
dc.publisher | Ital Publication | en_US |
dc.relation.ispartofseries | Vol. 6(2022), Special Issue "COVID-19: Emerging Research";165-180 | |
dc.subject | Correlation | en_US |
dc.subject | Socioeconomics | en_US |
dc.subject | COVID-19 | en_US |
dc.subject | Time-Series | en_US |
dc.subject | Indonesia | en_US |
dc.title | Using Correlation to Explore the Impact of Corona Virus Disease on Socioeconomics | en_US |
dc.type | Article | en_US |