Xiaohui Tian

Xiaohui Tian is an associate professor at the School of Agriculture Economics and Rural Development, Renmin University of China in Beijing, China. She earned her PhD Degree in the Department of Agricultural, Environmental, and Development Economics at The Ohio State University in 2014.

Her research interests are Resource and Environmental Economics, Land Use, Climate Change and Forest Economics. She is currently a Consultant for Research Triangle Institute International (RTI International). She served as a PhD intern at the Resources for the Future and Economic Research Service, USDA during 2011 and 2012.

Education

• Doctor of Philosophy (PhD) The Ohio State University (2009 — 2014)
• Master of Arts (M.A.) The Ohio State University (2009 — 2013)
• Bachelor of Arts (B.A.) China Agricultural University (2005 — 2009)

Companies

• Associate Professor Renmin University of China (2017)
• Assistant professor Renmin University of China (2014)
• Ph.D candidate The Ohio State University (2012 — 2014)
• Research Assistant The Ohio State University (2010 — 2014)
• Summer Intern USDA-ERS (2012 — 2012)
• Summer Intern USDA-ERS (2011 — 2011)
• Internship Resources for the Future (2011 — 2011)

The world has been facing its greatest challenge so far in using its fixed land resources to feed rising population and produce energy from biomass while conserving forests to provide carbon offsets and sustain ecosystem service. How can we manage our current forests and agriculture land to meet demands for timber and wood biomass, without meanwhile impoverishing future generations from food and timber resources or exposing them to more vulnerable ecosystems and drastic climate changes? The transition to an efficient and sustainable land use pattern involves important inter-temporal tradeoffs.

My research focuses on the links between the economic systems, ecosystems and climate system from the perspective of land use changes. Rooted in economics, the research integrates theoretical and empirical efforts. As the problems are interdisciplinary and dynamic, I have had to develop and use a wide range of computational tools of dynamic optimization to conduct policy analysis.