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Testing Subjective Well-Being from the Perspective of Social Quality: Quantile Regression Evidence from Shanghai, China

Author

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  • Hao Yuan

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  • Mayank Golpelwar

    ()

Abstract

Based on an empirical survey in Shanghai, this study tests how the effects of Social Quality’s four domains viz. social economic security, social inclusion, social cohesion, and social empowerment—on subjective well-being (SWB) vary across quantiles of SWB. The results show that house tenure, financial balance, social participation, social trust, loneliness, and social alienation, are strong predictors for SWB across SWB’s quantiles. Institutional trust improves SWB among those with lower and middle levels of SWB. People’s view on success attribution is also associated with SWB. Being married makes those with low levels of SWB happier, whereas high education only benefits those from the upper quantiles of SWB. Copyright Springer Science+Business Media B.V. 2013

Suggested Citation

  • Hao Yuan & Mayank Golpelwar, 2013. "Testing Subjective Well-Being from the Perspective of Social Quality: Quantile Regression Evidence from Shanghai, China," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 113(1), pages 257-276, August.
  • Handle: RePEc:spr:soinre:v:113:y:2013:i:1:p:257-276
    DOI: 10.1007/s11205-012-0091-z
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    References listed on IDEAS

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    Cited by:

    1. Lamu, Admassu N. & Olsen, Jan Abel, 2016. "The relative importance of health, income and social relations for subjective well-being: An integrative analysis," Social Science & Medicine, Elsevier, vol. 152(C), pages 176-185.
    2. Fang, Zheng & Niimi, Yoko, 2015. "Do Losses Bite More than Gains? Evidence from a Panel Quantile Regression Analysis of Subjective Well-being in Japan," MPRA Paper 68059, University Library of Munich, Germany.
    3. Zheng Fang & Chris Sakellariou, 2016. "Social Insurance, Income and Subjective Well-Being of Rural Migrants in China—An Application of Unconditional Quantile Regression," Journal of Happiness Studies, Springer, vol. 17(4), pages 1635-1657, August.
    4. Hao Yuan, 2016. "Structural Social Capital, Household Income and Life Satisfaction: The Evidence from Beijing, Shanghai and Guangdong-Province, China," Journal of Happiness Studies, Springer, vol. 17(2), pages 569-586, April.
    5. repec:spr:soinre:v:132:y:2017:i:1:d:10.1007_s11205-015-1126-z is not listed on IDEAS
    6. Rotondi, Valentina & Stanca, Luca & Tomasuolo, Miriam, 2017. "Connecting alone: Smartphone use, quality of social interactions and well-being," Journal of Economic Psychology, Elsevier, vol. 63(C), pages 17-26.
    7. repec:eee:jjieco:v:46:y:2017:i:c:p:79-90 is not listed on IDEAS
    8. Geoffrey Tso & Fangtao Liu & Jin Li, 2015. "Identifying Factors of Employee Satisfaction: A Case Study of Chinese Resource-Based State-Owned Enterprises," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 123(2), pages 567-583, September.
    9. Pamela Abbott & Claire Wallace & Ka Lin & Christian Haerpfer, 2016. "The Quality of Society and Life Satisfaction in China," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 127(2), pages 653-670, June.

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