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Inequality Attribution and Political Participation: Survey Evidence from Hong Kong

Published online by Cambridge University Press:  02 March 2026

Yongshun Cai*
Affiliation:
Social Science, The Hong Kong University of Science and Technology , Hong Kong
Jennifer Sin Yu Hung
Affiliation:
Social Science, The Hong Kong University of Science and Technology , Hong Kong
*
Corresponding author: Yongshun Cai; Email: socai@ust.hk
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Abstract

Research on the relationship between inequality and political engagement has yielded varying conclusions. Some studies suggest that inequality fosters political action, while others indicate the opposite, and some find no significant connections. This study demonstrates that individuals’ reactions to inequality are influenced by their attribution of the causes of low income. Based on a survey of over 3,700 residents in Hong Kong, a region known for its high levels of inequality, this research finds that blame attribution significantly affects intentions to participate in collective action. Individuals often attribute income inequality to three types of factors: structural, fatalistic, and individualistic. Those who attribute inequality to structural factors are more likely to engage in collective and disruptive actions, whereas those who attribute it to personal factors are less likely to participate. Consequently, reducing inequality can contribute to social stability by decreasing the potential for collective action.

Information

Type
Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2026. Published by Cambridge University Press on behalf of the East Asia Institute
Figure 0

Table 1. Household monthly median income by group in Hong Kong

Figure 1

Table 2. Attribution of low income in Hong Kong

Figure 2

Table 3. Percentage of respondents showing intention to participate in peaceful across groups in Hong Kong (column percentage)

Figure 3

Figure 1. Coefficient plots from multilevel logistic regression predicting participation in protest.

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Table 4. Percentage of respondents showing intention to participate in violent action across groups in Hong Kong (column percentage)

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Figure 2. Coefficient plots from multilevel logistic regression predicting participation in violent action.

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Table A1. Comparison of socio-economic distributions between the survey and the Hong Kong 2021 Population Census (mean or proportion)

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Table A2. Multilevel linear regression for attributions and intention to participate in collective action with random district effect (peaceful protest coded as continuous [0, 1, 2, 3])

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Table A3. Multilevel linear regression for attributions and intention to participate in violent action with random district effect (violent action coded as continuous [0, 1, 2, 3])

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Table A4. Multilevel logistic regression for attributions and intention to participate in peaceful protest with random district effect, with satisfaction included

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Table A5. Multilevel logistic regression for attributions and intention to participate in peaceful protest with random district effect, with efficacy included

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Table A6. Multilevel Linear Regression for Attributions and Intention to Vote with Random district effect (Vote coded as continuous [0, 1, 2, 3])