Kaijuan Li李凯娟

I study how globalization and technological change reshape contemporary political behavior — with a focus on the political participation of technology firms and the institutional role of Chinese central state-owned enterprises.

Incoming PhD, Political Science · Fudan University · 2026 cohort

About

A political scientist trained between SJTU and Fudan, working at the intersection of comparative political economy, technology politics, and computational social science.

I am completing my MA in Political Science at Fudan University, School of International Relations and Public Affairs (SIRPA), and will continue at Fudan as a PhD student in Political Science (2026 cohort). I hold a BA in Administrative Management from Shanghai Jiao Tong University (School of International & Public Affairs, 2019–2023), where my training in political theory, public policy, and quantitative methods laid the foundation for my current research.

My work asks how globalization and technological change reshape political behavior — at the level of voters, firms, and the state itself. I study these forces through original data work and computational text analysis, with a current emphasis on the political participation of US technology firms and the political reconfiguration of Chinese central state-owned enterprises (SOEs) in local governance.

I have presented at the 28th IPSA World Congress (Seoul, 2025), the POMS International Conference (2022), and the Fudan "AI & Political Science" International Conference (2025). My master's thesis on US tech firms' political participation received the third prize at the SJTU Doctoral Forum (2025).

Research Agenda

Three lines of inquiry, organized around how political behavior responds to globalization, technology, and state governance.

Stream I.

The political participation of technology firms.

How do US technology firms allocate political effort — through lobbying, campaign contributions, regulatory engagement, and elite ties — across three decades of expansion, regulation, and decoupling? My master's thesis builds a "four-quadrant" framework of corporate political postures based on 1990–2024 data, and I extend this work toward computational text analysis of trade-remedy and lobbying disclosures.

Corporate political activity Lobbying & donations US–China decoupling Tech regulation
Stream II.

Globalization, automation, and the radical right.

My working paper Globalization Meets Automation uses cross-national election surveys, China-shock trade exposure, and automation exposure measures to model how the dual shocks of trade and technology reshape support for radical-right parties across European regions. The work was accepted for an oral presentation at the 28th IPSA World Congress in Seoul (2025).

International political economy China shock Automation exposure Radical right
Stream III.

Central SOEs and the institutional architecture of Chinese governance.

This emerging line — and a core direction for my doctoral training — asks how China's central state-owned enterprises are being institutionally re-positioned within the national governance system. As local governments face fiscal tightening, debt constraints, and politically rigid mandates, central SOEs increasingly serve as resource-mobilizing partners in delivering "stable growth" and "stable employment." I read this not merely as economic cooperation but as a structural reconfiguration of central–local relations and state capacity. The project will combine document analysis, original case studies, and quantitative tracking of SOE involvement in local fiscal and policy delivery.

Central SOEs Local governance Central–local relations State capacity Mixed-ownership reform

Publications & Working Papers

Working papers, conference papers, and published work.

4 items
2025
Working paper · IPSA 2025

Globalization Meets Automation: How Trade and Technological Shocks Reshape Radical Right Support in Europe

Li, Kaijuan; Xiao (co-authors)

Accepted for oral presentation, 28th IPSA World Congress, Seoul

BibTeX

This paper combines cross-national election surveys with regional measures of China-shock trade exposure and automation exposure to estimate the joint impact of trade and technological shocks on radical-right support across European regions. Using a region-by-individual modeling strategy, I show that the political effects of globalization and automation are neither independent nor additive: they interact with local labor-market structure to reshape who turns toward the radical right and along which dimensions of grievance. The paper contributes a unified empirical framework for thinking about how the twin shocks of the past two decades have rewritten Europe's political map.

IPSA 28
2025
RA project · in progress

Beyond Tariffs: US Trade Remedies in Text Data

Stone, Randall (Rochester); Wang, Yu (Fudan); Li, Kaijuan (RA)

Presented at Fudan "AI & Political Science" International Conference, 2025

Code

This project uses Python and large language models to structure, classify, and analyze approximately 600,000 textual records from US trade-remedy investigations. As research assistant, I designed and implemented the data-cleaning pipeline, performed topic identification, and built a structured feature database of US trade-policy text. Preliminary results were presented at Fudan's "AI & Political Science" International Conference in 2025; co-authored manuscript in preparation.

~600k text records
2025
SJTU Doctoral Forum · Third Prize

Voice and Influence: The Political Participation of US Technology Firms, 1990–2024

Li, Kaijuan (sole author, MA thesis)

Master's thesis · SJTU 2025 Doctoral Forum, Outstanding Paper (3rd prize)

This thesis assembles a long-run record of US technology firms' political participation from 1990 to 2024, integrating lobbying, campaign donations, regulatory comment, and elite networks. I propose a "four-quadrant" theoretical framework that classifies firms' political postures along two axes — orientation toward the regulatory state and orientation toward partisan politics — and trace how individual firms migrate across quadrants in response to expansion, antitrust, and decoupling pressures. The framework offers a portable lens for comparing corporate political postures across sectors and political regimes.

3rd prize
2024
Published

Optimal Quality Inspections in Farm-to-Consumer Direct Selling: A Game-Based Approach

[Coauthor]; Li, Kaijuan (second author)

Journal of Agricultural Science and Technology, 2024 · presented at POMS 2022 (international)

DOI BibTeX

We construct a game-theoretic model of quality inspection regimes in farm-to-consumer direct-selling channels, deriving conditions under which decentralized versus centralized inspection produces socially optimal quality outcomes. The paper grew out of a Shanghai Philosophy and Social Science general project and was first presented at the POMS 2022 International Conference.

JAST 2024

Fieldwork & Practice

Five projects across four years — local governance, tech-policy, trade resilience, and social policy.

2025 · Jul–Aug

How Local Governments Serve Technology Firms — the "Modu Space" Case

Project Lead · Fudan University Graduate Social Practice Programme

Following the General Secretary's inspection of Shanghai's "Modu Space" AI hub, I led a graduate research team studying how local governments construct a "space + ecosystem + service" model of techno-governance. Designed the interview protocol, conducted on-site research, and authored the final report.

Outstanding · Univ.
2025 · Jun–Aug

Volunteer Service Office, Pudong New Area Social Work Department, CPC

Policy intern

Drafted policy materials, conducted institutional visits, and wrote analytic reports on volunteer-service systems at organizations including the Pudong Art Museum.

Internship
2024 · Jun–Aug

Modernizing Local Governance — Ning'er County, Yunnan

Team Leader · field research

Led a team conducting field research in Ning'er County: collected 100+ surveys and interview transcripts, authored a 30,000-character case report, and submitted policy recommendations to local government.

Field study
2024 · Apr–Nov

Yiwu Small-Commodity Exporters and Policy Response

Team member · trade-resilience study

Studied resilience strategies of foreign-trade firms in Yiwu under US–China competitive pressure; produced policy recommendations submitted to the local government.

Trade policy
2019–2021

Shanghai Minimum-Living-Allowance (Dibao) Field Study

Interviewer · longitudinal

Conducted home visits with low-income families across three consecutive years; completed 70+ in-depth interviews and contributed to ancillary policy-revision work.

Social policy

Talks

Selected conference and invited presentations.

2025

Globalization Meets Automation: Trade and Technological Shocks in Europe

28th IPSA World Congress · Seoul, Korea
International
2025

Voice and Influence: US Technology Firms' Political Participation, 1990–2024

Shanghai Jiao Tong University Doctoral Forum · 3rd Prize
Award
2025

Beyond Tariffs: US Trade Remedies in Text Data

Fudan "AI & Political Science" International Conference · Shanghai
Conference
2022

Optimal Quality Inspections in Farm-to-Consumer Direct Selling

POMS International Conference
International

Curriculum Vitae

A condensed summary. Download the full PDF →

Education

2026 —
PhD, Political Science · Fudan UniversitySchool of International Relations & Public Affairs (SIRPA)
2023 — 2026
MA, Political Science · Fudan University, SIRPACoursework: political theory, social science research methods, comparative politics, Chinese politics, international development
2019 — 2023
BA, Administrative Management · Shanghai Jiao Tong UniversitySchool of International & Public Affairs · Coursework included political science, statistics, big-data analysis, micro/macroeconomics

Honors & Recognition

2025
SJTU Doctoral Forum · Outstanding Paper (3rd prize)For "Voice and Influence: US Technology Firms' Political Participation, 1990–2024"
2025
Fudan University Graduate Social Practice · Outstanding Project"How Local Governments Serve Technology Firms — Modu Space"
2025
Accepted oral presentation, 28th IPSA World Congress (Seoul)

Methods & Skills

Designs
Region–individual multilevel models · trade- & automation-exposure measures · panel methods
Text
LLM-based classification of policy text (~600k records) · entity resolution · structured feature extraction
Tooling
Python · R · Stata · SQL · Git · LaTeX
Languages
Mandarin (native) · English (academic working)