Xiaonan Wang

Xiaonan Wang

Assistant Professor

City University of New York - Baruch College

Welcome!

I am an Assistant Professor of Political Science at the City University of New York – Baruch College. During 2022-2023, I am also a Postdoctoral Fellow at Columbia-Harvard China and the World Program. I received my Ph.D. from the Department of Government and Politics at the University of Maryland.

I study political economy and bureaucratic politics, with a regional specialization in China. Part of my research focuses on the political control of bureaucrats and the quality of government. My dissertation, also my book project, studies the politics of appointing insiders and outsiders in China’s provincial government agencies. Part of my research focuses on Chinese overseas investment, especially on how Chinese investment affects local public opinion.

My contact information: xiaonan.wang@baruch.cuny.edu

Download my curriculum vitae.

Interests
  • Bureaucratic Politics
  • State-Business Relations
  • China’s Outward FDI
  • Causal Inference
Education
  • Ph.D. in Political Science, 2022

    University of Maryland at College Park

  • M.A. in Public Policy, 2016

    Tsinghua University

  • B.A. in Philosophy and Economics, 2013

    Peking University

Dissertation

The Politics of Appointing Insiders and Outsiders
My dissertation studies the politics of appointing insiders and outsiders in China’s provincial government agencies. This study is motivated by the following puzzles: why are most agency heads appointed from outside of the agency instead of from the inside, and why has the trend of appointing outsiders increased over time? I develop and empirically test a theoretical framework that draws insights from the literature on delegation and bureaucratic embeddedness. Provincial leaders face an information-collusion trade-off in appointing agency heads: while agency heads with prior experience inside the agency help reduce performance uncertainty, they can also use their information advantages to engage in corruption, especially the type of corruption that involves collusion with colleagues and business clients. Whether to appoint insiders or outsiders is a function of balancing the risk of performance uncertainty and collusive corruption. I argue that how provincial leaders balance the trade-off depends on two factors. First, provincial leaders’ information on and connections with the candidates of appointees help mitigate the problems of adverse selection and moral hazard. Second, according to the delegation model, increased monitoring capacity should alleviate provincial leaders’ concerns about corruption risks at the appointment stage. However, authoritarian monitoring has distinctive features, including top-down control, uncertainty, and intra-party propaganda, that could lead provincial leaders to take more preventive measures by appointing more agency heads without inside-agency experience.

Publications

Peer-reviewed

(2022). Does Chinese Investment in Africa Inspire Support for a China Model of Development?. World Development.

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(2022). Too Cynical: Why Stock Market in China Dismissed Anti-corruption Signals. Journal of Chinese Political Science.

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(2020). Seeking Credibility from Uncertainty: How Formal Cooptation Institution Unleashes Outspoken NGOs. VOLUNTAS: International Journal of Voluntary and Nonprofit Organizations.

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(2019). Wire-Walking: Risk Management and Policy Experiments in China from a Comparative Perspective. Journal of Comparative Policy Analysis: Research and Practice.

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(2017). Political Incentives and Local Policy Innovations in China. Journal of Chinese Political Science.

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(2015). Patterns of “Experimentation Point”: Evidence from People’s Daily’s 1992--2003 Reports on Policy Experimentation Point. Journal of Public Administration [in Chinese].

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Work in Progress

  • The Professionalization of China's Government Agencies (book project)
  • The Political Influence of FDI in Africa from China and the United States (with Margaret Pearson and John McCauley)
  • Teaching

    Graduate Level

    Quantative Methods

    • Causal Inference Using Panel Data (with Kee Hyun Park), Methods Workshop for the Department of Government and Politics, University of Maryland, Spring 2021

    • Modeling Data: Theoretical Principles and Tidyverse Tools, Methods Workshop for the Department of Government and Politics, University of Maryland, Fall 2020

    • Causal Inference in Time-Series Cross-Sectional Data, Methods Workshop for the Department of Government and Politics, University of Maryland, Spring 2019

    Undergraduate Level

    Quantative Methods

    • GVPT201 Scope and Methods for Political Science, Teaching Assistant for Undergraduates, University of Maryland, Fall 2017

    International Relations

    • GVPT289J Uncertain Partners: The United States and China in a Changing World, Teaching Assistant for Undergraduates, University of Maryland, Spring 2017 and Spring 2018