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What is the impact of social well-being factors on happiness?

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  • Mohamed Ali Trabelsi

Abstract

Purpose - The purpose of this study is to examine the effect of social support, healthy life expectancy, freedom to make life choices, generosity, corruption perception, real gross domestic product per capita and the Gini index on happiness. Design/methodology/approach - In this study, the sample consists of 137 countries observed over the period 2017–2019. A multidimensional approach is used consisting of a principal component analysis and an econometric linear regression model. Findings - The findings indicate that perception, taking care of other people, corruption perception, freedom to make life choices and healthy life expectancy are the most determining factors of social well-being. Practical implications - Well-being benefits countries by improving living standards. Indeed, taking care of other people, corruption perception, freedom to make life choices and healthy life expectancy directly and positively correlate with social well-being. Originality/value - This study contributes to the previous literature in three ways. First, this paper provides fresh and recent data on social well-being. Second, the author introduced a multidimensional approach using a principal component analysis of the different social well-being factors to detect correlation between these indicators and to determine homogeneous clusters. Third, through these indicators, a country's leaders can formulate policies to enhance social well-being because it is closely linked to the improvement of the standard of living, good governance and therefore an increase in GDP.

Suggested Citation

  • Mohamed Ali Trabelsi, 2022. "What is the impact of social well-being factors on happiness?," European Journal of Management Studies, Emerald Group Publishing Limited, vol. 28(1), pages 37-47, December.
  • Handle: RePEc:eme:ejmspp:ejms-01-2022-0004
    DOI: 10.1108/EJMS-01-2022-0004
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    References listed on IDEAS

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    1. Alesina, Alberto & Di Tella, Rafael & MacCulloch, Robert, 2004. "Inequality and happiness: are Europeans and Americans different?," Journal of Public Economics, Elsevier, vol. 88(9-10), pages 2009-2042, August.
    2. Weiss, Yoram & Fershtman, Chaim, 1998. "Social status and economic performance:: A survey," European Economic Review, Elsevier, vol. 42(3-5), pages 801-820, May.
    3. Yoko Niimi, 2018. "What Affects Happiness Inequality? Evidence from Japan," Journal of Happiness Studies, Springer, vol. 19(2), pages 521-543, February.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Irina Alina Popescu & Paulo Jorge Reis Mourão, 2024. "Exploring the nexus between national innovation performance and happiness," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-11, December.
    2. Enaam Youssef & Mervat Medhat & Soumaya Abdellatif & Nagwa Babiker Yousif, 2024. "Analyzing the Impact of Metaverse Technology on Social Development: A Field Study on Generation Z in the United Arab Emirates," Social Sciences, MDPI, vol. 13(9), pages 1-21, August.

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    More about this item

    Keywords

    Happiness; Inequality; Subjective well-being; Income; Data analysis; C51; C83; D63; I31; P46;
    All these keywords.

    JEL classification:

    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
    • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being
    • P46 - Political Economy and Comparative Economic Systems - - Other Economic Systems - - - Consumer Economics; Health; Education and Training; Welfare, Income, Wealth, and Poverty

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