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A study of the impact of environmental surroundings on personal well-being in urban China using a multi-item well-being indicator.

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Title: A study of the impact of environmental surroundings on personal well-being in urban China using a multi-item well-being indicator.
Authors: Smyth, Russell1, Nielsen, Ingrid2 Ingrid.Nielsen@buseco.monash.edu.au, Zhai, Qingguo, Liu, Tiemin3, Liu, Yin4, Tang, Chunyong5, Wang, Zhihong6, Wang, Zuxiang7, Zhang, Juyong8
Source: Population & Environment. Jul2011, Vol. 32 Issue 4, p353-375. 23p. 4 Charts.
Subject Terms: *Environmental impact analysis, *Cities & towns, *Traffic congestion, Well-being, Environmental aspects, Health status indicators, Job satisfaction testing, Atmospheric temperature standard deviations
Geographic Terms: China
Abstract: We examine the relationship between atmospheric and water pollution, traffic congestion, access to parkland and personal well-being using a survey administered across six Chinese cities in 2007. In contrast to existing studies of well-being determinants by economists which typically employ single-item indicators, we use the Personal Well-being Index (PWI). We also employ the Job Satisfaction Survey (JSS) to measure job satisfaction, which is one of the variables for which we control when examining the relationship between environmental surroundings and personal well-being. Previous research by psychologists has shown the PWI and JSS to have good psychometric properties in western and Chinese samples. A robust finding is that in cities with higher levels of atmospheric pollution and traffic congestion, respondents report lower levels of personal well-being ceteris paribus. Specifically, we find that a one standard deviation increase in suspended particles or sulphur dioxide emissions is roughly equivalent to a 12-13% reduction in average monthly income in the six cities. [ABSTRACT FROM AUTHOR]
Copyright of Population & Environment is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: We examine the relationship between atmospheric and water pollution, traffic congestion, access to parkland and personal well-being using a survey administered across six Chinese cities in 2007. In contrast to existing studies of well-being determinants by economists which typically employ single-item indicators, we use the Personal Well-being Index (PWI). We also employ the Job Satisfaction Survey (JSS) to measure job satisfaction, which is one of the variables for which we control when examining the relationship between environmental surroundings and personal well-being. Previous research by psychologists has shown the PWI and JSS to have good psychometric properties in western and Chinese samples. A robust finding is that in cities with higher levels of atmospheric pollution and traffic congestion, respondents report lower levels of personal well-being ceteris paribus. Specifically, we find that a one standard deviation increase in suspended particles or sulphur dioxide emissions is roughly equivalent to a 12-13% reduction in average monthly income in the six cities. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Population & Environment is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1007/s11111-010-0123-z
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      – SubjectFull: Traffic congestion
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      – SubjectFull: Well-being
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      – SubjectFull: Atmospheric temperature standard deviations
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      – SubjectFull: China
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              Text: Jul2011
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