The influence of weather extremes on the spatial correlation of corn yields

Jesse Tack () and Matthew Holt

Climatic Change, 2016, vol. 134, issue 1, No 21, 299-309

Abstract: Abstract Annual production shocks at the farm-level are driven by year-to-year weather variability. While identifying drivers of these shocks is important and well-researched, little attention has been paid to the extent to which these shocks aggregate up to the regional or national level. Here, we provide a method for simultaneously modeling the mean, variance, and spatial correlation of crop yields in the presence of evolving technology. Our approach allows one to condition spatial correlations on variables of interest—such as weather—in a straightforward manner. An application to state-level Iowa and Illinois corn yields provides evidence that spatial correlations roughly double in both good and bad weather years relative to normal years. Furthermore, we consider several functional forms for conditioning spatial correlations on weather and find that less flexible relationships generate misleading results as they vastly underestimate the degree of correlation in bad weather years. These findings have important implications for the climate change, food price volatility, crop insurance, and yield modeling literatures.

Keywords: Entanglement; Standard quantum teleportation and controlled quantum teleportation; Bell states; Measurement bases; Unitary transformations (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

Downloads: (external link)
http://link.springer.com/10.1007/s10584-015-1538-4 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
Journal Article: The influence of weather extremes on the spatial correlation of corn yields (2016)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:climat:v:134:y:2016:i:1:d:10.1007_s10584-015-1538-4

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/10584

DOI: 10.1007/s10584-015-1538-4

Access Statistics for this article

Climatic Change is currently edited by M. Oppenheimer and G. Yohe

More articles in Climatic Change from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().