Essays on Adapting to Extreme Shocks: Local Market Correlations and Global Agricultural Trade Responses to Weather and Yield Variability

This dissertation explores how extreme events, climate, and yield variability affect local agricultural markets and global agricultural trade, offering insights to improve resilience and adaptability. It comprises three chapters. The first chapter analyzes the co-movement of corn basis returns among six local market pairs in North Carolina during extreme events using Extreme Value Theory (EVT). By focusing on the basis, this paper investigates the local market correlations that reflect local market conditions. Results show stronger lower-tail correlations than upper tails, with Candor and Cofield reaching 0.76 during negative shocks, indicating asymmetric price-setting behavior. These findings highlight the reliance on shared infrastructure, emphasizing the need for coordinated risk management, supply chain resilience, and targeted insurance policies. The study also reveals non-normal, asymmetric tail distributions, underscoring the limitations of standard time series models that assume normal and symmetric residuals to capture extreme market correlations. The second chapter examines the significant direct effects of growing season, area-weighted weather shocks on wheat and corn exports and imports. A 1 ◦C rise in exporter temperatures reduces exports by 4.6%, while a 1 ◦C increase in importer temperatures raises imports by 3.7%. Similarly, a 1 mm increase in precipitation reduces exports and imports by 3%. Exporters prioritize domestic markets during weather shocks, with lower-income countries being particularly vulnerable to these disruptions. The third chapter investigates how bystander countries—unaffected exporters and import-reliant countries—adjust their trade in response to yield shocks in major wheat-exporting countries. Argentina demonstrates significant trade adjustments with its importers in response to both current and lagged yield shocks of major wheat exporters, potentially due to its export structure. Import-reliant countries with more diversified sourcing exhibit smaller trade adjustments, indicating the importance of diversification as a resilience strategy. These findings stress the importance of supportive policies and infrastructure to enhance global trade resilience and adaptation to extreme yield and weather shocks.

Name thesis:degree_name

Doctor of Philosophy

Level thesis:degree_level

doctoral

Discipline thesis:degree_discipline

Economics, Agriculture and Life Sciences

Department dc:contributor.department

Economics

Grantor dc:publisher

Virginia Tech

Year dc:date.issued

2024

Author dc:creator

• Zheng, Yixing

Chairs dc:contributor.committeechair

• Grant, Jason Hugh
• Ramsey, Ford

Committee members dc:contributor.committeemember

• Legrand, Nicolas
• Stewart, Shamar L.

• Agricultural Commodity Price Co-movement
• Extreme Value Theory
• Climate Change
• International Trade

Statement dc:rights

• In Copyright

Licence dc:rights.uri

• http://rightsstatements.org/vocab/InC/1.0/

Language dc:language.iso

en

Dc Identifier Other

vt_gsexam:42247

OAI identifier oai:identifier

oai:vtechworks.lib.vt.edu:10919/123868