EconPapers    
Economics at your fingertips  
 

Economic Value of Information: Wheat Protein Measurement

Ruiqing Miao and David Hennessy

No 103974, 2011 Annual Meeting, July 24-26, 2011, Pittsburgh, Pennsylvania from Agricultural and Applied Economics Association

Abstract: In this paper we study U.S. wheat farmers’ willingness to pay for near infrared (NIR) sensor that can segregates wheat grains according to their protein concentration. We first develop a microeconomic optimization model of wheat farmers’ segregating and commingling decisions. Then we use U.S. wheat prices and stocks to estimate a wheat protein stock demand system. This allows us to establish the effects of changes in the protein profile of wheat stocks on protein premiums. The paper’s simulation section combines the results from the microeconomic optimization model and from the econometric estimations to simulate wheat farmers’ WTP for the sorting technology. Preliminary findings from the simulation show that a typical hard red winter (hard red spring) wheat farmer’s WTP for the sorting technology is 5.6 (4.8) cents per bushel.

Keywords: Crop Production/Industries; Production Economics (search for similar items in EconPapers)
Pages: 54
Date: 2011
New Economics Papers: this item is included in nep-cmp
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://ageconsearch.umn.edu/record/103974/files/W ... _AAEA_May3rd2011.pdf (application/pdf)

Related works:
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:ags:aaea11:103974

DOI: 10.22004/ag.econ.103974

Access Statistics for this paper

More papers in 2011 Annual Meeting, July 24-26, 2011, Pittsburgh, Pennsylvania from Agricultural and Applied Economics Association Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search ().

 
Page updated 2025-03-22
Handle: RePEc:ags:aaea11:103974