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Mechanical Responsiveness: China’s Online Petition System

Published online by Cambridge University Press:  13 May 2025

Jieren Hu
Affiliation:
Law School, Hangzhou City University, Hangzhou, Zhejiang Province, China
Xuan Gong
Affiliation:
Guanghua Law School, Zhejiang University, Hangzhou, Zhejiang Province, China
Yun Zhao*
Affiliation:
Faculty of Law, The University of Hong Kong, Hong Kong SAR, China
*
Corresponding author: Yun Zhao; Email: zhaoy@hku.hk
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Abstract

Using quantitative analysis and qualitative in-depth interviews conducted in China in 2022–2024, this study explores a new form of grievance expression and dispute resolution adopted by the Chinese Communist Party (CCP): the online petition. While digital technology can receive and handle public complaints more efficiently, local officials under intense top-down pressure and increased accountability often only address citizens’ demands performatively to satisfy the political needs of their superiors. The study of “mechanical responsiveness” reveals that the CCP’s reinforced scrutiny of petitioners as well as local officials not only fails to prevent and resolve disputes at the source but also may lead to increased social discontent and pent-up resentments in the long run when the government fails to live up to its promises. Citizens will also lose faith in the institution and become politically disengaged if grassroots officials are always trying to curry favour with their superiors and avoid punishment rather than address public demands.

摘要

摘要

本研究通过在 2022 至 2024 年期间在中国开展的一系列定量分析与定性深度访谈, 探讨中国用于诉求表达与解决争端的一种新型模式——网上信访系统。尽管数字技术可以大大促进地方政府更高效地接收和处理公众的信访诉求, 但面对艰巨的工作任务和严厉的问责机制, 地方官员往往选择以应付方式来回应公民的诉求, 其目的是为了更好地完成上级领导交代的政治任务和要求。本文通过对“机械性回应”的研究发现, 中国政府对访民和地方官员越来越紧的管控不仅未能从源头上预防和解决矛盾纠纷, 反而可能在政府无法兑现承诺时导致更大程度的社会不满。而且如果基层官员更关注上级领导的旨意, 在处理民众投诉时尽可能避免被问责而不是满足百姓的实际需求, 也会导致民众对政府的信任度下降, 使网上信访机制丧失其原有效用。

Information

Type
Research 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 (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Author(s), 2025. Published by Cambridge University Press on behalf of SOAS University of London.
Figure 0

Figure 1. The Online Citizen Complaint Process

Source: Designed by authors.
Figure 1

Table 1. Number, Percentage and Evaluation Rate of Online Petition Responses

Figure 2

Table 2. Number, Percentage and Evaluation Rate of Different Types of Complaints

Figure 3

Figure 2. Total Number of Online Petition Cases in F District, 2020–2024

Source: Data collected during fieldwork.