Improving on Shadow Price Information for Identifying Critical Farm Machinery

Bruce McCarl, D. Earl Kline and Donald A. Bender

American Journal of Agricultural Economics, 1990, vol. 72, issue 3, 582-588

Abstract: A method is presented for identifying critical farm machinery in a linear programming context. The method uses a technical coefficient sensitivity analysis formula that overcomes problems associated with direct use of shadow prices for critical machinery identification. Case studies show the formula identifies the benefits of altering machinery generally with less than 10% error.

Date: 1990
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://hdl.handle.net/10.2307/1243027 (application/pdf)
Access to full text is restricted to subscribers.

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:oup:ajagec:v:72:y:1990:i:3:p:582-588.

Access Statistics for this article

American Journal of Agricultural Economics is currently edited by Madhu Khanna, Brian E. Roe, James Vercammen and JunJie Wu

More articles in American Journal of Agricultural Economics from Agricultural and Applied Economics Association Contact information at EDIRC.
Bibliographic data for series maintained by Oxford University Press ().