Xiting Zhuang
Xiting Zhuang

Research Assistant Professor

Xiting Zhuang

Department of Agribusiness & Applied Economics, North Dakota State University

I investigate how supply chain disruptions, trade policy, and economic shocks affect agricultural markets and social outcomes, combining causal inference with machine learning and NLP to turn large-scale data into evidence for policy.

Ph.D. Agricultural & Resource Economics, UConn
M.S. Computer Science, Georgia Tech
Richard H. Barry Hall 438, Fargo, ND

focus:
Google Scholaras of Sep 2026
118cites5h-index3i10

Methods & Data

RDDDIDIVEvent StudyText ClassificationLLMsNLPCustoms & Shipment MicrodataPythonRStataSQL

Research Agenda

Research highlights →
01//TRADE

Trade disruptions & tariff policy

Container shortages, port congestion, low water on the Mississippi, and the 2025 U.S.–China tariff escalation all act as trade costs, and I measure how much of each actually lands on U.S. agricultural exporters rather than on importers or farmers. Identification comes from the timing and geography of each shock, applied to shipment-level customs data, and the estimates go back out as briefs written for the people who set the policy.

Difference-in-DifferencesEvent StudiesPass-Through EstimationCustoms Microdata

Representative work

Supply chain disruptions and containerized agricultural exports from California ports

Applied Economic Perspectives and Policy, 2023

↳ all 10 papers in this strand →
02//ML

Machine learning & AI

Screening thousands of abstracts by hand is the binding constraint on systematic reviews, so I build and benchmark text-classification and LLM-based screening pipelines against human coders. A second strand asks which data-analytics competencies agricultural curricula actually require, and how to teach them.

Text ClassificationLLM EvaluationText Mining
↳ all 5 papers in this strand →
03//SOCIAL

Social outcomes & household welfare

A second line of work asks how economic conditions and social institutions shape violence and welfare inside households, mostly using large-scale Chinese survey data. Arranged marriage, parental education, work environment, and clan culture each turn out to have measurable effects on abuse and on civic commitment.

Regression DiscontinuityInstrumental VariablesSurvey Microdata

Representative work

Tradition or tragedy: Arranged marriages and domestic violence

International Review of Law and Economics, 2026

↳ all 6 papers in this strand →
04//ENVIRONMENT

Environment & trade

China's tightening environmental standards and its ban on imported waste redrew global waste flows and the backhaul leg of maritime shipping, while climate shocks such as the 2022 Mississippi River drought reroute agricultural exports outright. I estimate the trade effects of environmental policy and of climate disruption using trade flow data and quasi-experimental designs.

Environmental PolicyTrade Flow DataRegression Discontinuity
↳ all 5 papers in this strand →

Working Papers & In Progress

All 26 papers →
U.S. agricultural export losses from China's 2025/26 retaliatory tariffs

Xiting Zhuang*, Shawn Arita, & Sandro Steinbach · Submitted, Applied Economic Perspectives and Policy

Systematic mapping of threats to U.S. beef production

Zhihong Xu*, Shuai Ma, Anjorin Ezekiel Adeyemi, Jaehyun Ahn, Ashlynn Kogut, Xiting Zhuang, Guadalupe Ceja, Matt Baker, Kent Toyonaga, Tian Chen, Fahmida Husain Choudhury, & Abdul Saboor Rahmany · Revise & resubmit, Translational Animal Science

Changing tariff incidence during the 2025 China–U.S. tariff episode

Xiting Zhuang*, Carlos Zurita, & Sandro Steinbach · Under review, Economics Letters

The gift of equality: Legal recognition of same-sex unions and elder abuse

Weidong Tian & Xiting Zhuang*

Temperature, allowance, and air pollution: Evidence from regression discontinuity design

Xiting Zhuang*