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Role of Social Capital in Determining Happiness and Life Satisfaction: Mediation of Self-reported Health Using Path Analysis

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Abstract

This study links social capital with people’s health and well-being using data from the seventh wave of the World Value Survey, logistic regression, and path analysis. The study’s findings show that happiness and life satisfaction are two different measures of the same construct, or well-being. The determinants of each are also characterised differently: while life satisfaction is more of a stable and relative measure and is more strongly influenced by civic cooperation, social participation, and educational attainment, happiness is more of an unstable measure and is more strongly influenced by community belonging, trust and confidence aggregates, including employment and location of residence of an individual. Moreover, freedom of choice, financial satisfaction or social comparison, and state of health were the most important factors influencing happiness and life satisfaction. The findings also show that self-reported health (SRH) has a greater impact on happiness than a measure of life satisfaction. Path analysis shows out of the three other components of social capital—community belonging, civic engagement, and social participation—trust and confidence aggregates are the ones that have the biggest impact on increased social capital. For both well-being measures, SRH mediated the relationship. The life satisfaction measure had a higher level of mediation of SRH than happiness, but social capital had a smaller direct impact on life satisfaction than on happiness. SRH was found to be partially mediating this relationship for both happiness and life satisfaction measures, which means that people with higher social capital reported feeling better off.

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Data availability

The dataset used in this study are available to the public under a Creative Commons license at https://doi.org/10.14281/18241.20.

Code Availability

The coding used in this study are provided in the supplementary section.

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Acknowledgements

The views expressed in this paper are those of the author and do not reflect the views of the institution to which he is affiliated to. Although any errors of the author shouldn’t reflect poorly on the reputation of esteemed individuals from the relevant institution. Author thanks his colleagues for their contributions of knowledge and insight that greatly aided the research.

Funding

No funding was received for conducting this study.

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Authors and Affiliations

Authors

Contributions

The author confirms sole responsibility for the following: study conception and design, data coding, analysis and interpretation of results, and manuscript preparation.

Corresponding author

Correspondence to Suraj Sharma.

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Not applicable.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary file1 (DOCX 28 KB)

Appendix: Factor Loadings and Unique variances for Civic Engagement Measure

Appendix: Factor Loadings and Unique variances for Civic Engagement Measure

Fig. 5
figure 5

Scree plot of eigenvalues after factor

 

Factor 1

Psi

KMO

Not justifiable: claiming government benefits

0.5633

0.6827

0.7870

Not justifiable: avoiding a fare on public transport

0.6414

0.5886

0.7679

Not justifiable: cheating on taxes

0.7257

0.4734

0.7016

Not justifiable: someone accepting a bribe

0.6893

0.5248

0.7150

  1. Kaiser–Meyer–Olkin (KMO) measure of sampling adequacy is 0.7364 (overall)

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Sharma, S. Role of Social Capital in Determining Happiness and Life Satisfaction: Mediation of Self-reported Health Using Path Analysis. Fudan J. Hum. Soc. Sci. (2023). https://doi.org/10.1007/s40647-023-00394-w

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  • DOI: https://doi.org/10.1007/s40647-023-00394-w

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