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Administrative Litigation in China: Assessing the Chief Officials’ Appearance System

Published online by Cambridge University Press:  08 February 2024

Tianhao Chen
Affiliation:
School of Public Policy and Management, Tsinghua University, Beijing, China
Wei Xu
Affiliation:
School of Public Policy and Management, Tsinghua University, Beijing, China,
Xiaohong Yu*
Affiliation:
Department of Political Science, Tsinghua University, Beijing, China
*
Corresponding author: Xiaohong Yu; Email: xyu@tsinghua.edu.cn
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Abstract

The Chief Officials’ Appearance System (COAS), introduced in 2015, requires government leaders to appear in court and explain their actions. Unlike other post-2014 legal reforms aimed at reducing political influence in administrative litigation, the COAS uniquely actively involves political officials. This approach is based on the belief that increased participation will help officials to gain a better understanding of public concerns and improve administrative litigation quality. However, few studies have examined the system's effectiveness, and existing research relies on anecdotal evidence with limited analysis. To address this gap, we conducted a systematic empirical inquiry using 1,551 administrative litigation cases filed in a Beijing local court and extensive field research in 12 other provinces. Contrary to official expectations, we found the system reproduced the administrative grievances it was tasked with resolving. Moreover, when chief officials appear in court, administrative litigation is characterized by a renewed triad of apathetic state agencies, increasingly agitated plaintiffs and strategically empowered courts.

摘要

摘要

2015 年引入的行政机关负责人出庭应诉制度 (COAS) 要求行政机关负责人在行政诉讼中出庭应诉。迥异于 2014 年后其他旨在减少行政诉讼中政治影响的改革措施,行政应诉制度主动要求行政官员参加诉讼,认为这将有助于官员更好的理解公众关切,并提升行政诉讼效果。虽然这一制度引发了普遍的讨论,研究者却对该制度的有效性莫衷一是。既有研究主要依赖文本与个案证据,为弥补这一不足,我们利用北京某地方法院的 1551 起行政诉讼案件进行了系统的实证分析,并在 12 个省份进行了广泛的田野调查。与官方的预期相反,我们发现行政应诉制度再生产了其本应解决的行政争议。当行政机关负责人出庭时,冷漠的行政机关、日益激动的原告和策略性赋权的法院共同构成了行政诉讼新三方关系。

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
Copyright © The Author(s), 2024. Published by Cambridge University Press on behalf of SOAS University of London
Figure 0

Figure 1. Regional Distribution of Published ALCs, GDP per Capita, and Legal Environment Ranking in 2016Sources: Data regarding the number of ALCs were retrieved from China Judgements Online (https://wenshu.court.gov.cn). Data on GDP per capita were collected from the China Statistical Yearbook 2017. Data on legal environment ranking were collected from the 2017 “Report of the NERI index of marketization of China's provinces.”Notes: Circle size represents the legal environment ranking: the higher the ranking, the larger the circle. Beijing is ranked second out of 31 provinces.

Figure 1

Figure 2. Number of ALCs and Plaintiff Win Rate in China and Beijing, 1988–2018Source: Zhongguo falü nianjian (Law Yearbook of China), various years.Notes: Only in four years (2013–2016) did the authorities report the win rates of plaintiffs in ALCs in Beijing. Please refer to Appendix B for the calculation of the plaintiff win rate and the original data. Since 2017, the Law Yearbook of China no longer reports the case disposition of ALCs.

Figure 2

Table 1. Regression Results

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Figure 3. Number of ALCs and Plaintiff Win Rate by District in Beijing, 2015–2018Source: COAS Databank.Notes: The bars here represent the number of ALCs; the lines represent the plaintiff win rate; and the vertical dashed lines represent the timing of each court appearance by chief officials.

Figure 4

Figure 4. Timing of Chief Officials’ Court AppearancesSource: COAS Databank.

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Figure 5. Frequency of Chief Officials’ Court Appearances in Daxing District, 2010–2019Sources: Internal documents provided by the interviewee.

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Figure 6. Rank of the Presiding JudgesSource: COAS Databank.

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Figure 7. Scatter Plot of Chief Officials’ Tenures and Case OutcomesSources: Case outcome data are from COAS Databank; chief officials’ tenure and age data are from official government websites.

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Figure 8. Scatter Plot of Chief Officials’ Ages and Case OutcomesSources: Case outcome data are from COAS Databank; chief officials’ tenure and age data are from official government websites.

Figure 9

Figure 9. COAS Cases Involving City-level Officials, 2015–2018Source: CJPD.Notes: The dark bars represent the number of COAS cases that plaintiffs won, and the light bars represent the number of COAS cases that the relevant public agency won. The vertical dashed line marks the average number of COAS cases across the 31 provinces. The data tabs show the total number of COAS cases for each province. The plaintiff win rate is in parentheses.

Figure 10

Figure 10. All COAS Cases, 2015–2018Source: CJPD.Notes: The dark bars represent the number of COAS cases that plaintiffs won, and the light bars represent the number of COAS cases that the relevant public agency won. The vertical dashed line marks the average number of COAS cases across the 31 provinces. The data tabs show the total number of COAS cases for each province. The plaintiff win rate is in parentheses.

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