Xingguo Wang 王兴国

About

Xingguo Wang specializes in applied research in agricultural, food, and climate policy, evaluating how food and nutrition policies, climate variability, and environmental conditions affect agricultural productivity, food security, and population well-being using causal inference, panel-data econometric, and machine-learning methods. His research focuses on three areas: evaluation of food and nutrition assistance programs, including SNAP, SNAP-Ed, WIC, and community-based food interventions; analysis of climate variability and climate change impacts on crop yields and agricultural risk; and examination of how economic incentives, insurance programs, and policy interventions influence producer behavior and productivity. Across these areas, his unifying contribution is the development and application of credible economic evaluation frameworks that identify causal effects and distributional consequences under real-world data and institutional constraints. His work is interdisciplinary and policy-oriented, involving collaborations with agronomists, climatologists, and public health scientists within Texas A&M AgriLife Research and partner institutions.

• Food & nutrition policy
• SNAP · WIC · SNAP-Ed
• Climate & crop yields
• Agricultural risk & insurance
• Causal inference
• Machine learning

Education

• Ph.D., Agricultural Economics, Texas A&M University, December 2023
  Dissertation co-chairs: Pourya Valizadeh and Henry Bryant
• B.S., Economics and B.S., Management Information Systems, University of Delaware, December 2017

Contact

xingguo.wang@ag.tamu.edu