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Enregistrement W4387647004 · doi:10.1108/jsbed-06-2022-0290

Were the self-employed less happy than waged employees during the COVID-19 pandemic? Evidence from the Gallup World Poll

2023· article· en· W4387647004 sur OpenAlex

Pourquoi ce travail est dans la base

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affAu moins un auteur déclare une institution canadienne dans l'instantané OpenAlex épinglé.

Notice bibliographique

RevueJournal of Small Business and Enterprise Development · 2023
Typearticle
Langueen
DomaineEconomics, Econometrics and Finance
ThématiqueCOVID-19 Pandemic Impacts
Établissements canadiensUniversity of Ottawa
Organismes subventionnairesnon disponible
Mots-clésPandemicFinancial crisisDemographic economicsIndividualismCoronavirus disease 2019 (COVID-19)MediationSample (material)EconomicsWork (physics)PsychologyBusinessPolitical scienceMedicine

Résumé

récupéré en direct d'OpenAlex

Purpose The COVID-19 pandemic created not only a public health crisis but also the largest disruption to the global economies. The purpose of the paper is to investigate the adverse impacts of the pandemic on self-employment including job loss, income reduction and cut back in work hours and how these impacts were related to the well-being the self-employed. The authors also examine how self-employers responded to adversity in different cultural settings. Design/methodology/approach The main sample was obtained the Gallup World Poll that covers more than 39,000 individuals across 55 countries over the period from October 2020 to June 2021. The ordinary least square was the main choice of methodology. The paper employs the Oaxaca-Blinder decomposition technique to quantify the gap in financial loss between self-employed and employed individuals. Finally, the moderated mediation analysis allows the authors to examine how financial loss mediates the reduction in well-being of self-employers. Findings The paper finds that self-employers were 29% more likely to lose their businesses than paid individuals to lose their jobs and perhaps as a result, they were 50% more likely to experience lower work hours and less income. The findings suggest that the impact of the COVID-19 pandemic varied across countries. The financial gap between self-employment and full-time employment was narrower in countries with individualism, low uncertainty avoidance and propensity for long-term future. Finally, the paper shows that although financial loss associated with the coronavirus situation mediated the relationship between self-employment and reduced wellbeing, the positive relationship between self-employment and life satisfaction (wellbeing) held amid the pandemic. Despite all the pecuniary setbacks relative to full-time employment, self-employers report higher subjective wellbeing than regular wage earners during difficult times. Practical implications The earnings gap between self-employers and employees persists (and increase) during adverse conditions may cast into doubt the efficiency of the economic system that ensures no one is left behind. In addition, contextual factors such as cultural values should also be taken into consideration in reducing the earning gap between self-employment and regular employment. It is also implied that the self-employed choose to engage in self-employment due to psychological and emotion benefits rather than material achievements. Originality/value This study has quantified the income gap between self-employment and employed individuals in the context of adverse economic conditions. This study also highlights the fact that despite all the financial setbacks, self-employers are happier than employed individuals and they engage in self-employment as an important way to pursue happiness. This highlights well-being as the critical non-pecuniary benefits of the career choice of and transition into self-employment that have been confirmed in extant entrepreneurship literature.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,003
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,050
Score d'incertitude au seuil0,713

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0030,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0010,000
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,103
Tête enseignante GPT0,271
Écart entre enseignants0,168 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle