Proceedings of the 7th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention

The Research of the Interactive Relationship Based on the VAR Model between the Prices of Pork, Soybeans and Corn

Authors
Siyu Mo, Wen Han
Corresponding Author
Siyu Mo
Available Online November 2016.
DOI
https://doi.org/10.2991/rac-16.2016.119How to use a DOI?
Keywords
VAR model; pork price; soybean price; corn price; interactive relationship; Guizhou province
Abstract
The research of the interactive relationship based on the VAR model between the prices of pork, soybeans and corn in Guizhou, provides reasonable reference to make effective policy of adjusting pork price regularly, and establish the necessary warning system for the production of the pigs. The article take the example of the prices of pork, soybeans and corn from August 1th, 2014 to April 30th, 2015 in Guizhou uses the Vector Auto regression model, and through the impulse response function and the variance decomposition and other methods to systematically analyzes the mutual influence between the prices. The results shows that the pork price is influenced most by itself, but it is influenced relatively less by the prices of corn and soybean .The prices between corn and soybean have interactive effect but the degree is small. Finally, we propose method to maintain the stability of the pork market price in Guizhou.
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Proceedings
7th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention (RAC-2016)
Part of series
Advances in Intelligent Systems Research
Publication Date
November 2016
ISBN
978-94-6252-242-8
ISSN
1951-6851
DOI
https://doi.org/10.2991/rac-16.2016.119How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Siyu Mo
AU  - Wen Han
PY  - 2016/11
DA  - 2016/11
TI  - The Research of the Interactive Relationship Based on the VAR Model between the Prices of Pork, Soybeans and Corn
BT  - 7th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention (RAC-2016)
PB  - Atlantis Press
SP  - 739
EP  - 745
SN  - 1951-6851
UR  - https://doi.org/10.2991/rac-16.2016.119
DO  - https://doi.org/10.2991/rac-16.2016.119
ID  - Mo2016/11
ER  -