A Spatial and Temporal Model of the North American Pork Sector for the Evaluation of Policy Alternatives

Larry Martin and Anthony C. Zwart

American Journal of Agricultural Economics, 1975, vol. 57, issue 1, 55-66

Abstract: A quarterly recursive quadratic programming model of the North American pork sector is constructed to explain spatial and temporal variations in the sector and to evaluate the repercussions of policy changes. The model incorporates econometric supply, demand for consumption and demand for storage equations for Eastern and Western Canada and the United States. It is then run over a forty-one quarter period to evaluate its ability to simulate the sector. A policy experiment is conducted which assesses a change in tariff policies between Canada and the United States to illustrate the model's application for policy analysis.

Date: 1975
References: Add references at CitEc
Citations: View citations in EconPapers (12)

Downloads: (external link)
http://hdl.handle.net/10.2307/1238840 (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:57:y:1975:i:1:p:55-66.

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 ().