The effect of internet usage on perceptions of social fairness: Evidence from rural China

Zhu, Zhongkun; Ma, Wanglin; Sousa‐Poza, Alfonso; Leng, Chenxin

doi:10.1016/j.chieco.2020.101508

Cited by 65 publications

(40 citation statements)

References 35 publications

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“…It is a publicly available dataset, and the authors are not involved in the CSS design or fieldwork [ 33 ]. The CSS is a nationally representative repeated cross-sectional survey project initiated by the Chinese Academy of Social Sciences in 2006 and has been widely used in cross-sectional and trend analysis of China’s social and economic issues [ 34 – 37 ]. All participants were informed about the research questions and study objectives and written informed consents were obtained from all respondents [ 38 ].…”

Section: Methodsmentioning

confidence: 99%

How do Chinese people perceive their healthcare system? Trends and determinants of public satisfaction and perceived fairness, 2006–2019

Zhu

et al. 2022

BMC Health Serv Res

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Background The public’s perception of the health system provides valuable insights on health system performance and future directions of improvement. While China’s health care reform was a response to people’s discontent in the health care system due to the lack of accessibility and affordability, little is known on changes in public perception of China’s health system. This paper examines trends in public perception of the health system between 2006 and 2019 and assesses determinants of public perception in China’s health system. Methods Seven waves of the China Social Survey, a nationally representative survey, were used to examine trends in public satisfaction with health care and perceived fairness in health care. Chi-square tests were used to examine differences across waves. Logistic regression models were used to explore determinants of public perception, including variables on sociodemographic characteristics, health system characteristics, and patient experience. Results Satisfaction with health care increased from 57.76% to 77.26% between 2006 and 2019. Perceived fairness in health care increased from 49.79% to 72.03% during the same period. Both indicators showed that the major improvement occurred before 2013. Sociodemographic characteristics are weakly associated with public perception. Financial protection and perceived medical safety are strongly associated with public perception, while accessibility is weakly associated with public perception. Patient experience such as perceived affordability and quality in the last medical visit are strongly associated with public perception of the health care system, while the accessibility of the last medical visit shows no impacts. Conclusion Public satisfaction on health care and perceived fairness in health care in China improved over 2006–2019. The main improvement occurred in accordance with huge financial investments in public health insurance before 2013. Financial protection and perceived quality play significant roles in determining public perception, whereas accessibility and sociodemographic characteristics have limited influence on people’s perception of China’s health system. To achieve higher satisfaction and a higher sense of fairness in health care, China’s health system needs to continue its reforms on hospital incentives and integrated delivery system to control health expenditure and improve health care quality.

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Section: Methodsmentioning

confidence: 99%

How do Chinese people perceive their healthcare system? Trends and determinants of public satisfaction and perceived fairness, 2006–2019

Zhu

et al. 2022

BMC Health Serv Res

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“…Based on the aforementioned literature analysis, the impact of Internet use on older adults' life satisfaction is mainly through two aspects: First, Internet use may reduce the social interactions in the real life; second, Internet use distorts the perception of social fairness by expanding social comparison objects, thus reducing the life satisfaction ( 64 ). Therefore, we, respectively, selected the frequency of gathering with friends and sense of social fairness as mediating variables to analyze the influence mechanism of Internet use on life satisfaction.…”

Section: Methodsmentioning

confidence: 99%

Section: Mechanism Analysismentioning

confidence: 99%

“…Internet use has a significant negative impact on older adults' life satisfaction, but the channels through which affects older adults' life satisfaction require further analysis. The aforementioned literature analysis found that the negative effect of Internet use on older adults' life satisfaction is mainly through two aspects: First, Internet use may reduce offline social interactions; second, Internet use affects perceptions of social fairness and life satisfaction by expanding the social comparison target ( 64 ). Based on the two possible channels of the negative effects and the availability of data, in the first channel, we selected the frequency of gathering with friends as a mediating variable to characterize social interactions, and in the second channel, we selected the sense of social fairness as a mediating variable to characterize the perception of fairness in socioeconomic status, to analyze the possible influence mechanisms of Internet use on life satisfaction.…”

Section: Mechanism Analysismentioning

confidence: 99%

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Internet Use, Life Satisfaction, and Subjective Well-Being Among the Elderly: Evidence From 2017 China General Social Survey

Yang

Lin

et al. 2021

Front. Public Health

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Purpose: The research objectives of this study are to test the scientific propositions of whether Internet use promotes life satisfaction among the elderly, whether there is variability in the effect of Internet use on the well-being of the elderly, and through what channels Internet use affects the elderly's life satisfaction.Method: Using data from the 2017 Chinese General Social Survey (CGSS), this paper employed linear regression, ordered logit model, and the propensity score matching (PSM) approach to investigate the association of Internet use with life satisfaction among the elderly in China.Results: The results show that Internet use was significantly and negatively associated with the life satisfaction of the Chinese elderly. Further analysis on group heterogeneity demonstrates that the negative association was more prominent among the participants who were males, at a lower age, had lower income and education, non-agricultural registered, and relatively healthy. Finally, the mediating effect indicates that Internet use may affect life satisfaction among the elderly through the channel of reducing their perceptions of social justice.Conclusions: In order to avoid the negative effects of using the Internet, the following policy suggestions are put forward: Improve the elderly's attitudes toward Internet use; pay attention to the sense of fairness of the elderly to improve life satisfaction; guide the elderly to reduce the time of using the Internet.

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“…Higher means of 5 items indicated higher degrees of social fairness (Cronbach’s α = 0.808). The analogous measurement has been utilized by Zhu et al (2020) .…”

Section: Methodsmentioning

confidence: 99%

Social Security Satisfaction and People’s Subjective Wellbeing in China: The Serial Mediation Effect of Social Fairness and Social Trust

2022

Front. Psychol.

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ObjectiveTo test the relationship between social security satisfaction, social fairness, social trust, and people’s subjective wellbeing (SWB) in China and the serial mediation effect in this study.MethodsWe utilized the data (N = 7,978) from Chinese Social Survey (CSS) in 2017 and 2019, involving 31 provinces across the country. There were 5,398 samples in 2017CSS and 2,580 samples in 2019CSS selected by the research objectives. There were 4,269 women and 3,709 men with the average age of participants being 43 (SD = 14.41).ResultsThe results showed that the actual status of social security satisfaction, social fairness and trust, and SWB were greater than the theoretical status overall. Social security satisfaction [β = 0.454, p < 0.001, 95% CI = (0.377, 0.423)], social fairness [β = 0.065, p < 0.001, 95% CI = (−0.039, 0.124)], and social trust [β = 0.108, p < 0.001, 95% CI = (0.237, 0.397)] positively influenced people’s SWB, respectively. Social fairness had a positive effect on social trust (β = 0.298, p < 0.001). Social fairness and social trust partly mediated the relationship between social security satisfaction and SWB, respectively. Social security satisfaction indirectly influenced SWB through the serial effect of social fairness and social trust. The total effect of SWB explained is 47% in the serial mediation model.ConclusionSatisfactory social security is likely to cause a high level of people’s SWB, social fairness, and social trust. It is beneficial to form a virtuous circle in society. Allowing people to obtain satisfactory social security is conducive to social equity, promoting social trust, and improving people’s SWB.

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The effect of internet usage on perceptions of social fairness: Evidence from rural China

Cited by 65 publications

References 35 publications

How do Chinese people perceive their healthcare system? Trends and determinants of public satisfaction and perceived fairness, 2006–2019

How do Chinese people perceive their healthcare system? Trends and determinants of public satisfaction and perceived fairness, 2006–2019

Internet Use, Life Satisfaction, and Subjective Well-Being Among the Elderly: Evidence From 2017 China General Social Survey

Social Security Satisfaction and People’s Subjective Wellbeing in China: The Serial Mediation Effect of Social Fairness and Social Trust

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