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  3. Disruptions as Opportunities: Governing Chinese Society with Interactive Authoritarianism

Disruptions as Opportunities: Governing Chinese Society with Interactive Authoritarianism

Taiyi Sun
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Disruptions as Opportunities: Governing Chinese Society with Interactive Authoritarianism addresses the long-standing puzzle of why China outlived other one-party authoritarian regimes with particular attention to how the state manages an emerging civil society. Drawing upon over 1,200 survey responses conducted in 126 villages in the Sichuan province, as well as 70 interviews conducted with Civil Society Organization (CSO) leaders and government officials, participant observation, and online research, the book proposes a new theory of interactive authoritarianism to explain how an adaptive authoritarian state manages nascent civil society. Sun argues that when new phenomena and forces are introduced into Chinese society, the Chinese state adopts a three-stage interactive approach toward societal actors: toleration, differentiation, and legalization without institutionalization. Sun looks to three disruptions—earthquakes, internet censorship, and social-media-based guerrilla resistance to the ride-sharing industry—to test his theory about the three-stage interactive authoritarian approach and argues that the Chinese government evolves and consolidates its power in moments of crisis.
  • Cover
  • Title Page
  • Copyright Page
  • Dedication
  • Contents
  • Figures
  • Tables
  • Acknowledgments
  • Part I: Introduction
    • Chapter 1. Governing the Nascent Civil Society in China
  • Part II: The Three Stages of the Interactive Authoritarianism Model
    • Chapter 2. Stage I
    • Chapter 3. Stage II
    • Chapter 4. Stage III
  • Part III: Three “Most-Different Cases” Illustrating the Interactive Authoritarianism Model
    • Chapter 5. Case I
    • Chapter 6. Case II
    • Chapter 7. Case III
  • Part IV: Conclusion
    • Chapter 8. Governing as an Interactive Authoritarian State
  • Appendix: Eight Useful Tips of Conducting Fieldwork on China
  • Notes
  • Bibliography
  • Index
Open access version made available with the support of The Lieberthal-Rogel Center for Chinese Studies (LRCCS)
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Published: 2023
Publisher: University of Michigan Press
License: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International license
ISBN(s)
  • 978-0-472-07563-8 (hardcover)
  • 978-0-472-90330-6 (open access)
  • 978-0-472-05563-0 (paper)
Series
  • China Understandings Today
Subject
  • Political Science:Comparative Politics
  • Asian Studies:China

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Map showing counties in Sichuan province of China where post-­earthquake data was collected

The Post Treatment Study with the Wenchuan 08' and Lushan 13' Earthquakes

From Introduction

Figure 1. The region covered in the post-treatment study.

Map showing counties in southern Sichuan province of China where data was collected concerning the epicenter of the 2014 Ludian earthquake.

The Difference-in-Difference Study with the Ludian Earthquake

From Introduction

Figure 2. The region covered in the difference-in-difference study.

Histogram showing the distribution of the number of days it took for officials in Sichuan province to respond to emails.

Response Frequency by Number of Days

From Chapter 3

Figure 3.1. Response frequency by number of days

Illustration showing the changes of citizen preferences of service provision before and after the Ludian earthquake, comparing regions directly hit by the earthquake and regions not hit.

Changes of Preferences for Service Provision before and after the Ludian Earthquake

From Chapter 5

Figure 5.1. Changes of preferences for service provision before and after the Ludian earthquake

Illustration showing confidence intervals of variables of the bench, basic, and full model, including controls such as age, education, gender, monthly income, religious affiliation, and clan membership. There was a decrease in preference of service provided by social organizations in the quake-­stricken region after the Ludian earthquake across models.

Confidence Interval of Variables based on different Models regarding Preference of Services Provided by Social Organizations

From Chapter 5

Figure 5.2. Confidence interval of variables based on different models

Illustration showing confidence intervals of variables of the bench, basic, and full model, including variables such as gender, age, education, monthly income, and the number of dependents. Older people significantly preferred social organizations less for service provisions.

Confidence Interval of Variables based on different Models regarding Preference of Services Provided by Social Organizations in Sichuan

From Chapter 5

Figure 5.3. Confidence interval of variables based on different models

Graph of dynamic state-­CSO relations in China based on goal alignment and whether the government is effective in providing services. The short-­run and long-­run results could vary from competition, complementarity, confrontation, cooperation, co-­optation, and destruction.

The Dynamic Conceptual Framework of State-CSO Relations in China

From Chapter 5

Figure 5.4. The dynamic conceptual framework of state-CSO relations in China. Note: Numbers here indicate specific scenarios in this dynamic framework to which the following discussions will refer.

Line chart showing the number of articles attempted for publication each month from January 2017 to August 2019 on Global China.

Articles attempted for publication each month (Global China)

From Chapter 6

Figure 6.1. Articles attempted for publication each month (from January 2017 to August 2019)

Histogram showing the percentage of unpublished and deleted articles by month due to censorship.

Percentage of articles censored by month

From Chapter 6

Figure 6.2. Percentage censored by month (from January 2017 to August 2019)

Line chart showing frequency of labor protests in China from 2011 to 2017 by industry. Organized labor protests in the manufacturing industry and construction industry are, in general, more frequent than those in the transportation industry, especially with the drastic increase of labor protests in those industries since 2014.

Labor Protests in China from 2011-2017 by Industry

From Chapter 7

Figure 7.1. Labor protests in China from 2011 to 2017 by industry. Chart compiled based on raw data provided by the China Labor Bulletin. See China Labor Bulletin’s interactive data here: http://maps.clb.org.hk/strikes/zh-cn#/

Histogram showing the frequency of voice messages by month.

Frequency of Voice Messages by month

From Chapter 7

Figure 7.2. Frequency of voice messages

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