Adjustment and Control the Agricultural Production with the Law of Price
Wen-xi Duan ()
Additional contact information
Wen-xi Duan: Beijing Normal University
A chapter in Proceedings of 20th International Conference on Industrial Engineering and Engineering Management, 2013, pp 1073-1083 from Springer
Abstract:
Abstract The market price of agricultural products is affected by many factors, among which the most important factor is the demand quantity and production quantity. That is to say, the market price of agricultural products is the two variables function of the quantities of the demand and production. When the demand quantity is the constant, the price function is the monotone decreasing function of the production quantity. If the production quantity is the constant, the price function is the monotone increasing function of the demand quantity. The price function for a kind of agricultural product can be approximated using the two variables linear function during a period. The approximate function can be determined using the multiple regression method. The production quantity in the future can be forecasted using production profits at the time and the agricultural production quantity in the future can be controlled with the price function law.
Keywords: Agricultural production; Demand quantity; Production quantity; Price function; Production planning (search for similar items in EconPapers)
Date: 2013
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
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:spr:sprchp:978-3-642-40063-6_105
Ordering information: This item can be ordered from
http://www.springer.com/9783642400636
DOI: 10.1007/978-3-642-40063-6_105
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().