2020
DOI: 10.1177/2378023120915382
|View full text |Cite
|
Sign up to set email alerts
|

Revisiting China’s Social Volcano: Attitudes toward Inequality and Political Trust in China

Abstract: Existing literature suggests that despite rising inequality in China, Chinese people tend to tolerate inequality, so it would be unlikely that rising inequality would cause sociopolitical instability. Few studies, however, have systematically explained Chinese people’s attitudes toward inequality, analyzed attitudinal changes over time, or examined the relationship between such attitudes and political trust. The author’s analysis of national surveys in 2004, 2009, and 2014 yields three findings. First, critica… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
25
0
1

Year Published

2021
2021
2024
2024

Publication Types

Select...
7
1

Relationship

0
8

Authors

Journals

citations
Cited by 20 publications
(26 citation statements)
references
References 58 publications
0
25
0
1
Order By: Relevance
“…The findings of the present study have important implications for the growing body of research on citizens' inequality beliefs worldwide (Castillo 2011;Hunt 2007;McCall 2013;Mijs 2019) and with a focus on China (Chen, Tam, and Chiang 2019;Lei 2020;Xian and Reynolds 2017;Xie 2016). This study has shown that the relationship between academic success and meritocratic beliefs is not bidirectional as theorized, but rather, these factors justify such a relationship.…”
Section: Discussionmentioning
confidence: 70%
See 1 more Smart Citation
“…The findings of the present study have important implications for the growing body of research on citizens' inequality beliefs worldwide (Castillo 2011;Hunt 2007;McCall 2013;Mijs 2019) and with a focus on China (Chen, Tam, and Chiang 2019;Lei 2020;Xian and Reynolds 2017;Xie 2016). This study has shown that the relationship between academic success and meritocratic beliefs is not bidirectional as theorized, but rather, these factors justify such a relationship.…”
Section: Discussionmentioning
confidence: 70%
“…In the case of China, a high level of inequality (Xie and Zhou 2014) and social fluidity (Zhou and Xie 2019), by international standards, brings the justificatory role of meritocratic narratives, alongside their hypothesized motivational effect, into sharper relief. Empirical evidence has also challenged the conventional portrayal of Chinese people as accepting inequalities (Lei 2020): in 2014, most people in contemporary China believe that inequalities are large and economic distribution unfair. I expand this literature and incorporate the Chinese case in the literature of meritocratic beliefs through a focus on the educational system.…”
mentioning
confidence: 99%
“…By our estimates, saving flows explain 50 to 60 percent of the rise in the wealth-income ratio since 1978, while the increase in relative asset prices accounts for the remaining 40 to 50 percent. 31 That is, equity and housing prices have increased above and beyond the rise in consumer prices.…”
Section: B Decomposing Wealth Accumulationmentioning
confidence: 99%
“…Hence the bottom 50 percent earns 15 percent (30 percent times 50 percent) of total income. By contrast, the average income of the top 10 percent is more than 4 times the average income in 31 See online Appendix Tables A40 to A49, where we present detailed decompositions of wealth accumulation into volume and price effects for the 1978-2015 period, following the methodology used by Piketty and Zucman (2014) in rich countries. 32 Similarly, our series do not allow us to take a stance on the (arguably even more complicated) issue of dynamic efficiency in China.…”
Section: A Income Inequalitymentioning
confidence: 99%
“…In specifications of this type, either ordinal variables (Marien & Hooghe, 2011;Zhou & Jin, 2018;Wu & Wilkes, 2017) or a pool of binary variables (Lei, 2020) are used to transform all qualitative factors (such as education, the level of trust in other people, the frequency of using a particular source of information) into quantitative ones. We prefer the first approach because it is generally accepted in the literature and based on the Likert scale embedded in the surveys we use.…”
Section: Data Hypotheses Development and Methodsmentioning
confidence: 99%