Literature DB >> 28847235

Competing Forces of Socioeconomic Development and Environmental Degradation on Health and Happiness for Different Income Groups in China.

Lijuan Gu1,2,3, Mark W Rosenberg2, Juxin Zeng1,3.   

Abstract

China's rapid socioeconomic growth in recent years and the simultaneous increase in many forms of pollution are generating contradictory pictures of residents' well-being. This paper applies multilevel analysis to the 2013 China General Social Survey data on social development and health to understand this twofold phenomenon. Multilevel models are developed to investigate the impact of socioeconomic development and environmental degradation on self-reported health (SRH) and self-reported happiness (SRHP), differentiating among lower, middle, and higher income groups. The results of the logit multilevel analysis demonstrate that income, jobs, and education increased the likelihood of rating SRH and SRHP positively for the lower and middle groups but had little or no effect on the higher income group. Having basic health insurance had an insignificant effect on health but increased the likelihood of happiness among the lower income group. Provincial-level pollutants were associated with a higher likelihood of good health for all income groups, and community-level industrial pollutants increased the likelihood of good health for the lower and middle income groups. Measures of community-level pollution were robust predictors of the likelihood of unhappiness among the lower and middle income groups. Environmental hazards had a mediating effect on the relationship between socioeconomic development and health, and socioeconomic development strengthened the association between environmental hazards and happiness. These outcomes indicate that the complex interconnections among socioeconomic development and environmental degradation have differential effects on well-being among different income groups in China.

Keywords:  environmental justice; happiness; health; multilevel analysis; pollution; socioeconomic development

Mesh:

Year:  2017        PMID: 28847235     DOI: 10.1177/0020731417725470

Source DB:  PubMed          Journal:  Int J Health Serv        ISSN: 0020-7314            Impact factor:   1.663


  2 in total

1.  Understanding the Wellbeing of the Oldest-Old in China: A Study of Socio-Economic and Geographical Variations Based on CLHLS Data.

Authors:  Lijuan Gu; Yang Cheng; David R Phillips; Mark Rosenberg
Journal:  Int J Environ Res Public Health       Date:  2019-02-19       Impact factor: 3.390

2.  Effects of Environmental Quality Perception on Depression: Subjective Social Class as a Mediator.

Authors:  Liqin Zhang; Lin Wu
Journal:  Int J Environ Res Public Health       Date:  2021-06-06       Impact factor: 3.390

  2 in total

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