Does people’s wellbeing get impacted by COVID-19 pandemic measure in Indonesia?

Tjahjana, David and Dwidienawati, Diena and Manurung, Adler Haymans and Sari, Dyah Ganda (2021) Does people’s wellbeing get impacted by COVID-19 pandemic measure in Indonesia? Studies of Applied Economics, 39 (4). ISSN 1697-5731

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Abstract

The impact of COVID-19 pandemic is not only to human health but also to other aspects of human life. The most common action taken by the government in order to prevent the spread of the infection is mobility restriction. The implication of this mobility restriction is limitation of social activities which can be done. Mobility restriction was implemented in Jakarta and its surrounding cities and impacted more than 20 million people. Is this mobility restriction impacting people’s wellbeing? The objective of this study is to see whether there is an impact on wellbeing- in terms of happiness and life satisfaction- in Indonesia due to mobility restriction. A survey was conducted in April 2020. Happiness and satisfaction with life were measured by using the Subjective Happiness Scale (SHS) and Satisfaction with Life Scale (SWL). The reliability and validity of measures were analyzed with SPSS, and the differences between groups were analyzed with Two-Sample T-Test. The study finds that the respondents’ happiness level was only slightly happy, and the level of satisfaction was only slightly satisfied. The respondents claimed that their happiness was deteriorated during mobility restriction (41%). Thirty-four percent felt their satisfaction was deteriorated. Student group is shown as the most impacted group in its scale of wellbeing. The finding of this study can give insight for policymakers in implementing restrictive measures. The result of this study gives an insight into which groups to be prioritized for support or helped to cope with the restriction.

Item Type: Article
Keywords: happiness, mobility restriction, satisfaction, wellbeing
Subjects: 000 Computer Science, Information and General Works > 000 Computer Science, Knowledge and Systems
000 Computer Science, Information and General Works > 000 Computer Science, Knowledge and Systems > 004 Computer Science, Data Processing, Hardware
Divisions: Faculty of Engineering & Informatics > Information System
Depositing User: Administrator UMN Library
Date Deposited: 07 Oct 2021 03:17
Last Modified: 08 Oct 2021 01:36
URI: https://kc.umn.ac.id/id/eprint/18559

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