Abstract

This paper mainly focuses on the relationship between the subjective evaluation of air quality and the quality of life (QOL) of middle-aged and elderly residents in China. The 2018 China Health and Retirement Longitudinal Study (CHARLS) project database is the key sources of data, from which 16,736 valid samples were used in our research. Multivariate linear regression analysis and binomial logistic regression model were applied to detect the impact of the subjective evaluation of air quality on QOL, which was evaluated in two dimensions, which are health utility and experienced utility, using the health utility EQ-5D score and the experienced utility of life satisfaction score. Our results show that there is a significant positive correlation between the subjective evaluation of air quality and the two dimensions of QOL. Age, education, marital status and sleep status also have a relatively great impact on the QOL of residents. This worked studied the overall QOL of middle-aged and elderly residents in China, while policy suggestions regarding high-quality air public goods are also given in the paper.

Highlights

  • Quality of life (QOL) is a multidimensional concept that perceives and evaluates people’s physical, psychological, social belonging and comprehensive conditions, and involves people’s living environment

  • The linear regression model was constructed by taking the significant variables of univariate analysis, air quality satisfaction, sex, age, education background, marital status, smoking status, drinking, sleeping status and individual yearly income as explanatory variables and the health utility value of QOL (EQ-5D) as the explained variable to test the effect of air quality satisfaction on the health utility of residents’ QOL, and the regression results are shown in Table 4, where Model 1 is the estimation result without introducing control variables, while Model 2 and Model 3 are the estimation results after introducing control variables and correcting for heteroskedasticity

  • This indicates that poorer air quality satisfaction can reduce life satisfaction, which means that there is a significant positive correlation between air quality satisfaction and the experienced utility level of residents’ QOL

Read more

Summary

Introduction

Quality of life (QOL) is a multidimensional concept that perceives and evaluates people’s physical, psychological, social belonging and comprehensive conditions, and involves people’s living environment. Liao Li et al [3] have pointed out, that the objective measurement of air quality indirectly affects residents’ life satisfaction. There are few studies on the relationship between the subjective assessment of air quality and the QOL of residents. This study creatively puts forward the “two-dimensional” research perspective of QOL, which divides the QOL into two different dimensions—the health utility of the QOL and the experienced utility of the QOL—and performed beneficial exploration and research into these two dimensions to investigate the correlation between the subjective evaluation of air quality and the utility value of QOL. The correlation between the EuroQol five-dimensional questionnaire (EQ-5D) [9] score of health utility of QOL and the subjective evaluation and individual characteristics of air quality was detected using the multi factor linear regression analysis model. Other explanatory variables and their related variables are significantly correlated with QOL

Data Source
Descriptive Statistics of Data
Explained Variables
Core Explanatory Variables
Control Variables
T Test and Pearson Correlation Analysis
Multicollinearity Test
Multivariate Linear Regression Model
Binomial Logistic Regression Model
Single Factor Analysis of QOL
Multi-Factor Linear Regression Analysis of Factors Influencing Health Utility
Results
Model Evaluation
Robustness Analysis
Conclusions and Discussion

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.