Measurement and Analysis of Well-Being in Developed Regions in China

Heshmati, Almas; Su, Biwei; Kim, Seon-Ae

doi:10.1142/s1793969015500065

Cited by 2 publications

(5 citation statements)

References 40 publications

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“…It is an exploratory parametric statistical technique used for reducing the dimensionality of data (Hess and Hess 2018). Reduced dimensionality of the data leads to loss of within dimensional variations but eliminates the problem of collinearity (Heshmati et al 2015).…”

Section: Methodsmentioning

confidence: 99%

“…Each principal component is a linear combination of the original indicators with coefficients equal to the eigenvectors of the correlation of the covariance matrix. The principal components are sorted according to the declining scale of eigenvalues, which is equal to the variance of the component (Heshmati et al 2015). The principal component analysis allows adding new components from theories of identity, values, and beliefs to multidimensional well-being.…”

Section: Methodsmentioning

confidence: 99%

“…The control variables are age, health situation, number of houses that people have, and income, all of which are related to material and health well-being (Heshmati et al 2015). Most of the variables are categorical but age, number of houses, and income are count or continuous variables.…”

Section: Independent Variablesmentioning

confidence: 99%

“…The weighted index in comparison to the traditional indices which are based on only the first principal component has the advantage that it utilizes information from different subsets of correlated indicators influencing well-being. The weights of the components are their share of total variance explained by each component (Heshmati et al 2008(Heshmati et al , 2015. Together they explain 57.9% of the total variations in well-being.…”

Section: Multidimensional Index Of Well-beingmentioning

confidence: 99%

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Relationship between education and well-being in China

Liu¹

2022

J. Soc. Econ. Dev.

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Well-being is often quantitatively measured based on individuals’ income or health situation but the relationship between education and well-being has not been fully investigated. It is also important to compare well-being using different individual characteristics especially gender. This paper analyzes well-being using a unique dataset from the Chinese General Social Surveys in 2012, 2013, and 2015. Two measures of well-being are used: self-assessed unidimensional subjective well-being and parametrically estimated multidimensional objective well-being. Objective well-being is a composite parametric index with contributions from different domains of education influenced by identity, capability, and material well-being. These help in understanding the differences between and compare subjective and objective well-being. The results of our descriptive and regression analysis suggests that the multidimensional well-being index differs from subjective well-being in ranking individuals grouped by important common characteristics. These differences are captured by our study which helps to broaden the measurement and analysis of the multidimensionality of the well-being index. Education influences well-being positively, conditional on controlling for identity, capability, material and marital status, and Confucianism. Investments in education and female empowerment which target well-being measures will help reduce the dimensionality of the gender gap in rural China, in particular those attributed to Confucianism.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Independent Variablesmentioning

confidence: 99%

Section: Multidimensional Index Of Well-beingmentioning

confidence: 99%

See 2 more Smart Citations

Relationship between education and well-being in China

Liu¹

2022

J. Soc. Econ. Dev.

Self Cite

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show abstract

“…Principal Component analysis was originally developed by Pearson (1901) and further improved by Hotelling (1933). As to the literature on factor analysis, see, among others Agénor, 2003; Andersen and Herbertsson, 2003;DeVellis, 2003;Dien et al, 2005;Finch, 2006;Hambleton et al, 1991; Heshmati and Oh, 2007;Heshmati et al, 2008; Heshmati, 2006a;Kang, 2002;Kieffer, 1998;McDonald, 1997;McLeod et al, 2001. Promax factor analysis emerges as the most suitable method.…”

mentioning

confidence: 99%

Towards New Maps of Global Human Values, Based on World Values Survey (6) Data

Tausch

2015

SSRN Journal

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Measurement and Analysis of Well-Being in Developed Regions in China

Cited by 2 publications

References 40 publications

Relationship between education and well-being in China

Relationship between education and well-being in China

Towards New Maps of Global Human Values, Based on World Values Survey (6) Data

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