A spatial analysis of corn and soybean yields and weather relations

This thesis studied the relationship between corn and soybean yields and weather conditions in U.S. Corn Belt area. Three statistical models were tested, including two fixed effect models and one geographically weighted regression. Due to different underlying assumptions and specifications of each model, results indicated different implications. Major findings included severe weather conditions during plant.s reproductive stage had much greater impact than vegetative stage; the favorable effect of moderate heat could not compensate the yield loss caused by extreme heat at the same magnitude; and heterogeneous crop-weather relations across crop reporting district prevented further aggregation of cropping region. As another objective of this thesis, predictive powers of each model were also studied.

Name thesis:degree_name

M.S.

Level thesis:degree_level

Thesis

Discipline thesis:degree_discipline

Agricultural & Applied Econ

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2012

Author dc:creator

• Yang, Di

Contributors dc:contributor

• Irwin, Scott H.

• Crop Yield
• Weather
• Spatial Econometrics

Statement dc:rights

• Copyright 2011 Di Yang

Language dc:language

en

Handle dc:identifier

http://hdl.handle.net/2142/29414

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/29414