Hostname: page-component-74656f9884-j7cmm Total loading time: 0 Render date: 2026-11-09T22:57:38.998Z Has data issue: false hasContentIssue false

Adapt or Voice: Class, Guanxi, and Protest Propensity in China

Published online by Cambridge University Press:  18 March 2013

Abstract

We study the propensity for protest in the context of individuals’ alternative choices in urban China. Depending on the number and quality of social ties (or guanxi in Chinese), individuals may resort to one of two alternatives: to engineer life-changing events through personal connections or to join others in labor protest. We call one “adaptation” and the other “voice.” As our working hypothesis, we first expect them to be mutually exclusive. That is, adaptation through guanxi networks may help diffuse the will to protest, as those who enjoy better guanxi networks would advance their class status through such networks. With data from a national survey, our analysis rejects this working hypothesis. Those who are better connected are not only more likely to adapt but also more inclined to voice, and the effect of social ties on protest is significantly smaller for those who are connected to people with power. The implications are twofold. First, our data not only confirm the well-known effect of social connections on protest, but also specify the effects caused by high-class versus low-class connections. Second, in a comparative vein, the individual decision making on adaptation and/or voice offers a glimpse into the intertwining domains of social space in contemporary China.

Information

Type
Research Article
Copyright
Copyright © The Association for Asian Studies, Inc. 2013
Figure 0

Figure 1. Two Models Predicting Protest Propensity in China.

Figure 1

Table 1. Level of Propensity for Joining a Hypothetical Protest among China's Urban Residents.

Figure 2

Table 2. Mean Income Per Capita by Class Status among China's Urban Residents.

Figure 3

Table 3. Percent of Individuals Who Would Actively Participate in Protest by Class Status and Guanxi Ties.

Figure 4

Table 4. Coefficients of Logistic Models Predicting Protest Propensity in Urban China.

Figure 5

Table 5. Percent of Those Who Got Help in Finding Their Last Job by Class Status and Guanxi Ties.

Figure 6

Table 6. Coefficients of Logistic Models Predicting Getting Help for Jobs in Urban China.

Figure 7

APPENDIX 1. Explanations and Descriptive Statistics of Variables for Logistic Regression Models Predicting Protest Propensity and Social Adaptation, China