Happiness lost: Was the decision to implement lockdown the correct one?

Rossouw, Stephanié; Greyling, Talita; Adhikari, Tamanna

doi:10.4102/sajems.v24i1.3795

Cited by 7 publications

(7 citation statements)

References 22 publications

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“…The GNH index has only been used in a handful of studies addressing the effect of COVID-19 and government-mandated lockdowns on happiness. Greyling et al (2021a) and Rossouw et al (2021) conducted two studies that used the GNH index to investigate the determinants of happiness before and during the first months of the government-imposed lockdown in South Africa. In a third study, Greyling et al (2021b) focused on using the GNH to investigate the relationship between the stringency of lockdowns and happiness in a cross-country study that focused on South Africa, New Zealand and Australia.…”

Section: Gross National Happiness Indexmentioning

confidence: 99%

“…Among the country-specific studies, Hamermesh (2020) studied the life satisfaction of married and single people while in government-imposed lockdown for the U.S. and U.K. using time diaries. Rossouw et al (2021) investigated the determinants of happiness before and during the first few months of a lockdown in South Africa. However, neither of these studies follows a nation's wellbeing dynamics on a day-to-day basis in order to document changes in national wellbeing and emotions over the course of a pandemic.…”

Section: Introductionmentioning

confidence: 99%

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The impact of exogenous shocks on national wellbeing. New Zealanders’ reaction to COVID-19

Morrison

Rossouw

Greyling

2021

Applied Research Quality Life

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In this paper, we explore the response of an aggregate measure of subjective wellbeing to the arrival and passage of the COVID-19 pandemic in a small, geographically separate economy in the South Pacific. Studies of national wellbeing and emotional responses to infection rates during a pandemic have been rare thus far. While several disciplines offer theoretical priors in the case of individuals, far less attention has been paid to the wellbeing and emotional response at a national level. Our paper contributes to the literature by applying a time-series approach to the relationship between wellbeing, emotions and the passage of a pandemic. As such we contribute to a wider literature on macro responses to exogenous shocks. Our analysis involves the use of a wellbeing index and emotional time-series derived from Big Data in the form of tweets originating within New Zealand. The index captures the daily evaluative mood of the country several weeks before the first domestic case of COVID-19 was recorded until several weeks of no new COVID-19 cases. We find distinct reactions to the pandemic: a initial fall in national wellbeing generated by a decrease in the emotions ‘joy’, ‘anticipation’ and ‘trust’. Following a rapid and severe lockdown designed to limit domestic transmission of the virus national wellbeing recovered relatively quickly. Gaining insight into the wellbeing (happiness) reponse to pandemics at the national level is important because the average level of happiness within countries is known to be associated with a range of economic, social, health and political outcomes.

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Section: Gross National Happiness Indexmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The impact of exogenous shocks on national wellbeing. New Zealanders’ reaction to COVID-19

Morrison

Rossouw

Greyling

2021

Applied Research Quality Life

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“…It creates a huge impact on environmental, social, and economic factors (Mofijur et al, 2021). The economic impact triggered by the pandemic is very miserable since the GDP has been shrunk by 9.5% in 2020 due to a higher risk of unemployment and disruption of companies globally (Rossouw et al, 2020). The social impact created by the Covid-19 pandemic hugely affects the livelihood of poor and homeless people though the environmental impact seems to be optimistic in the case of a short-term reduction in pollution and CO2 emission due to the mere opening of factories and transport services (Severo et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Leadership Approaches for Post-Covid Recovery: A Systematic Literature Review

Porkodi¹

2022

EJBMR

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Due to the prevailing Covid-19 pandemic, performing day-to-day activities as well as work have become a most imperative challenge. It results in reduced workers’ competencies at all levels and posed unpredicted issues for managers in all organizations. Correspondingly, there is a dearth of research on the overview of how to resolve this issue. This article is intended to explore leadership approaches that help to adapt them in fluctuating scenarios that exist due to the Covid-19. Accordingly, a systematic literature review of articles and research works published in various standard databases including Scopus, Web of Science, and other reports have been analyzed. A lot of studies have been focused on frontline work by converging on specific factors such as work engagement, and employee performance which are employee-oriented. Consequently, there is a lack of research on organization-oriented leadership approaches to be adapted for post-pandemic recovery. Thus, this paper helps the managers to recover from the problems and issues instigated by the pandemic. It is identified that a supportive workplace, open communication, individual and organizational cooperation, and a healthy working atmosphere could be extremely helpful in adapting and transforming organizations in the present situation. Finally, this research work also recommends future directions to organizations in implementing various leadership tactics for post-covid recovery.

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“…[69] additionally considered inflation in their modeling of subjective well-being, taking into consideration both non-linear and asymmetric effects. Of course, there are still other factors influencing well-being, but it is not possible to reasonably measure them against the relatively short and changing periods of the time horizon of the research proposed here [70,71]. For example, [72], as well as [73], provided a review of various macroeconomic variables on well-being.…”

Section: Introductionmentioning

confidence: 99%

Estimation of Lockdowns’ Impact on Well-Being in Selected Countries: An Application of Novel Bayesian Methods and Google Search Queries Data

Drachal

Cortés

2022

IJERPH

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Lockdowns introduced in connection with the COVID-19 pandemic have had a significant impact on societies from an economic, psychological, and health perspective. This paper presents estimations of their impact on well-being, understood both from the perspective of mental health and considering economic security and similar factors. This is not an easy task because well-being is influenced by numerous factors and the changes happen dynamically. Moreover, there are some obstacles when using the control group. However, other studies show that in certain cases it is possible to approximate selected phenomena with Google search queries data. Secondly, the econometric issues related to the suitable modeling of such a problem can be solved, for example, by using Bayesian methods. In particular, herein the recently gaining in popularity Bayesian structural time series and Bayesian dynamic mixture models are used. Indeed, these methods have not been used in social sciences extensively. However, in the fields where they have been used, they have been very efficient. Especially, they are useful when short time series are analyzed and when there are many variables that potentially have a significant explanatory impact on the response variable. Finally, 15 culturally different and geographically widely scattered countries are analyzed (i.e., Belgium, Brazil, Canada, Chile, Colombia, Denmark, France, Germany, Italy, Japan, Mexico, the Netherlands, Spain, Sweden, and the United Kingdom). Little evidence of any substantial changes in the Internet search intensity on terms connected with negative aspects of well-being and mental health issues is found. For example, in Mexico, some evidence of a decrease in well-being after lockdown was found. However, in Italy, there was weak evidence of an increase in well-being. Nevertheless, the Bayesian structural time series method has been found to fit the data most accurately. Indeed, it was found to be a superior method for causal analysis over the commonly used difference-in-differences method or Bayesian dynamic mixture models.

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Happiness lost: Was the decision to implement lockdown the correct one?

Cited by 7 publications

References 22 publications

The impact of exogenous shocks on national wellbeing. New Zealanders’ reaction to COVID-19

The impact of exogenous shocks on national wellbeing. New Zealanders’ reaction to COVID-19

Leadership Approaches for Post-Covid Recovery: A Systematic Literature Review

Estimation of Lockdowns’ Impact on Well-Being in Selected Countries: An Application of Novel Bayesian Methods and Google Search Queries Data

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