People’s Perception of Well-Being during the COVID-19 Pandemic: A Case Study in Japan

Daisuke Sasaki (), Anawat Suppasri, Haruka Tsukuda, David N. Nguyen, Yasuaki Onoda and Fumihiko Imamura
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Daisuke Sasaki: International Research Institute of Disaster Science (IRIDeS), Tohoku University, Sendai 980-8572, Japan
Anawat Suppasri: International Research Institute of Disaster Science (IRIDeS), Tohoku University, Sendai 980-8572, Japan
Haruka Tsukuda: Department of Architecture and Building Science, School of Engineering, Tohoku University, Sendai 980-8579, Japan
David N. Nguyen: International Research Institute of Disaster Science (IRIDeS), Tohoku University, Sendai 980-8572, Japan
Yasuaki Onoda: Department of Architecture and Building Science, School of Engineering, Tohoku University, Sendai 980-8579, Japan
Fumihiko Imamura: International Research Institute of Disaster Science (IRIDeS), Tohoku University, Sendai 980-8572, Japan

IJERPH, 2022, vol. 19, issue 19, 1-13

Abstract: This study aims to examine people’s perception of well-being during the COVID-19 pandemic in Japan and quantitatively clarify key factors towards realizing evidence-based policymaking. In March 2022, 400 participants responded to a survey conducted through Rakuten Insight. The authors applied an ordinal logistic regression (OLR), followed by principal component analysis (PCA), to create a new compound indicator (CI) to represent people’s perception of well-being during the pandemic in addition to ordinary least squares (OLS) regression with a forward-backward stepwise selection method, where the dependent variable is the principal component score of the first principal component (PC1), while the independent variables are the same as the abovementioned OLR. Consequently, while analyzing OLR, some independent variables showed statistical significance, while the CI provided an option to grasp people’s perception of well-being. Furthermore, family structure was statistically significant in all cases of OLR and OLS. Moreover, in terms of the standardized coefficients (beta) of OLS, the family structure had the greatest impact on the CI. Based on the study results, the authors advocate that the Japanese government should pay more attention to single-person households affected by the COVID-19 pandemic.

Keywords: COVID-19; disaster science; evidence-based policymaking; ordinal logistic regression; principal component analysis; compound indicator; single-person households; Japan (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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