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To protest or not to protest? Migrant workers’ participation in protests in China

Published online by Cambridge University Press:  14 March 2023

Yen-Hsin Chen*
Affiliation:
The Department of Behavioral and Social Sciences, Sul Ross State University, East Highway 90, Alpine, Texas 79832, USA
T. David Mason
Affiliation:
The Department of Political Science, University of North Texas, 1155 Union Circle #311277, Denton, Texas 76203-5017, USA
*
*Corresponding author. E-mail: Yen-Hsin.Chen@sulross.edu
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Abstract

We present a theoretical explanation for why migrant workers in China should be less likely to participate in protests than other categories of workers. While grievance-based theories of protest would suggest that migrant workers have more incentive to protest than other categories of workers, resource mobilization theory suggests that their capacity to mobilize for collective action is impeded by the conditions of their work situation and their residence. Using survey data from CGSS 2010, we test propositions derived from this framework. We find that a greater sense of relative deprivation is associated with a greater likelihood of participating in protest across all categories of workers. However, we also find that migrant worker status functions as a moderator between grievances and protest participation: compared to urban registered workers, migrant workers are significantly less likely to take part in protest activities when both of them have high levels of perceived unfairness. These findings are robust across all models.

Information

Type
Research Article
Copyright
Copyright © The Author(s), 2023. Published by Cambridge University Press
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Table 1. Working condition of migrant workers

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Figure 1. Total number of migrant workers by years (in million) (statistics before 2008 are not available).Source: National Bureau of Statistics of China, various years (http://www.stats.gov.cn/tjsj/zxfb/201704/t20170428_1489334.html), accessed on 06/16/2022.

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Table 2. Average and median tenures of urban residents and migrant workers in 1999

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Table 3. Data description

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Table 4. Data summary

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Figure 2. Predict probabilities of protest participation by unfairness (from model A).

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Table 5. Predictors of individual protest participation

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Figure 3. Predict probabilities of protest participation by unfairness (from model D).

Supplementary material: File

Chen and Mason supplementary material

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