Hostname: page-component-74656f9884-6grmk Total loading time: 0 Render date: 2026-11-04T22:55:59.033Z Has data issue: false hasContentIssue false

Promoting Meritocracy through Recognition: The Post-recognition Career Trajectories of China’s Model County Party Secretaries

Published online by Cambridge University Press:  01 June 2026

Weilin Xiao
Affiliation:
School of Social Sciences, Tsinghua University, Beijing, China
Haoyue Hu
Affiliation:
School of International Relations and Public Affairs, Fudan University, Shanghai, China
Cai (Vera) Zuo*
Affiliation:
School of International Relations and Public Affairs, Fudan University, Shanghai, China
*
Corresponding author: Cai (Vera) Zuo; Email: czuo@fudan.edu.cn
Rights & Permissions [Opens in a new window]

Abstract

The increasingly proactive role of central authority in managing subprovincial leaders is understudied and our understanding of the function of political recognition in contemporary China remains inadequate. By adopting an expanded view of political meritocracy and using difference-in-differences analysis of original data about China’s model county Party secretaries, we demonstrate the ramifications of political recognition in generating a merit-based fast track and find that the recognition of model county Party secretaries has a lasting positive impact on recipients’ subsequent career advancement, although this impact is uneven. These findings enhance our understanding of the role of centrally bestowed political honours in promoting meritocracy, the non-institutionalized soft measures in shaping political incentives and the central–local interaction in the dynamics of political recognition in contemporary China.

摘要

摘要

中央政府在管理省以下地方领导干部中的角色日趋积极, 但相关研究仍显不足, 学界对当代中国政治表彰功能的理解亦不充分。通过拓展贤能政治的理论视角, 并运用双重差分法对原创性的 “全国优秀县委书记” 数据进行分析, 本研究揭示了政治表彰在构建基于绩效的快速晋升通道中的重要作用。研究发现, 获得 “优秀县委书记” 表彰对干部后续职业发展具有持久的正面影响, 尽管这种影响存在不均衡性。这些发现深化了我们对于中央授予的荣誉称号在推动贤能政治中的作用、非制度化的柔性措施在塑造政治激励方面的功能、以及中央与地方在当代中国政治表彰中动态互动的理解。

Information

Type
Research Article
Copyright
© The Author(s), 2026. Published by Cambridge University Press on behalf of SOAS University of London.
Figure 0

Figure 1. Distribution of MCPS WinnersFigure 1 long description.

Source: Authors’ dataset.
Figure 1

Table 1. Post-recognition Career Advancement of MCPSsTable 1 long description.

Figure 2

Figure 2. Dynamic Effect of Recognition on Administrative RankFigure 2 long description.

Source: Authors’ dataset.Notes: Panel (a) includes no control variable; Panel (b) controls for demographic control variables; Panel (c) controls for working experience variables; and Panel (d) controls for county characteristics variables, including county type dummies in 2015, as well as county, county-level city, urban district and banner (qi). We interact time-invariant variables with the time dummy variable. Robust standard errors are clustered at the county level. The blue dots represent the point estimates and the grey shaded bands are 95 per cent confidence intervals.
Figure 3

Table 2. The Effect of Recognition on Administrative RankTable 2 long description.

Figure 4

Figure 3. The Effect of Recognition on Administrative Rank in SubsamplesFigure 3 long description.

Source: Authors’ dataset.Notes: See description of southern, northern, eastern, central and western counties in Table D-1 in the online Appendix. EMR counties include counties located in ethnic minority regions. Estimations consider county Party secretary, year, province and prefecture fixed effects. Covariates include demographic and working experience control variables. We interact time-invariant variables with the time dummy variable. The sample excludes county Party secretaries who were appointed across provincial boundaries. Robust standard errors are clustered at the county level. Bars are 90 per cent and 95 per cent confidence intervals.
Figure 5

Table 3. Comparison Between Treatment Group and Control Group in Organizational CultivationTable 3 long description.

Supplementary material: File

Xiao et al. supplementary material

Xiao et al. supplementary material
Download Xiao et al. supplementary material(File)
File 2.2 MB