I am a Postdoctoral Associate in the Leitner Program of Political Economy, MacMillan Center, Yale University. My research focuses on business-government relations, bureaucracy, good governance, and authoritarian politics with a regional interest in China. Methodologically, I am interested in the “Big Data” analysis of state-business relations. For my dissertation and other research projects, I develop automated methods for collecting and matching extensive administrative data and create two original databases: the Chinese Revolving-Door Officials Database and the Chinese Public-Private Partnership Database.
You can reach me via email: firstname.lastname@example.org.
PhD in Political Science (Political Economy Track), 2021
MPhil in Social Science, 2016
Hong Kong University of Science & Technology
LLB in Political Science, 2014
Institutionalized Rent-Seeking: The Political-Business Revolving Door in China
Scholars contend that in a weak institutional context, firms enter the political marketplace primarily through bribery or entrepreneurs running for public office. My dissertation challenges this conventional understanding by arguing that revolving-door channels have become a prevalent means of rent-seeking when within-government career opportunities are rare for public officials and the private sector is profitable. This dissertation proposes a theoretical framework for understanding the emergence of revolving-door officials in authoritarian regimes and tests this framework through a rigorous inquiry of firms in China. The three papers that constitute this work analyze the pattern, formation, and economic outcome of hiring revolving-door officials. I show the distortionary impact of post-government career concerns on public resource allocation, a mixed revolving-door recruitment strategy adopted by firms seeking both political power and regulatory expertise, and the salient signaling effect of revolving-door connections on financial investors.
Chinese Revolving-Door Officials Database
The Chinese Revolving-Door Officials Database contains extensive demographic and career information of over 15,000 government officials who serve on the board of all Chinese publicly listed firms since the 2000s. The database is consist of three parts:
The database is supported by grants from the National Science Foundation (administered by American Political Science Association), the Department of Political Science at Duke University and Duke Asian Pacific Studies Institute.
Chinese Public-Private Partnership Database
The Chinese Public-Private Partnership Database provides detailed information of all Public-Private Partnership (PPP) projects contracted by various levels of governments in China from 2013. The database includes:
Probability and Regression*, Lab Instructor and TA, Fall 2019.
Handouts and Code
Quantitative Analysis in Social Science*, Lab Instructor and TA, Fall 2019, Hong Kong University of Science and Technology.
Handouts and Code
Prisoner’s Dilemma and Distributive Justice, Teaching Assistant, Fall 2018; Spring 2021, Duke University.
Global Corruption, Teaching Assistant, Spring 2019, Duke University.
World of Politics, Teaching Assistant, Fall 2016, Hong Kong University of Science and Technology.
Introduction to Economics, Teaching Assistant, Spring 2015, Hong Kong University of Science and Technology.