DocumentCode
1839896
Title
Forecasting research about cotton planting desire of farmers in America—Combination qualitative analysis with quantitative analysis
Author
Xiaofei, Cao ; Hongbin, Li
Author_Institution
Sch. of Manage., Wuhan Univ. of Sci. & Technol., Wuhan, China
Volume
1
fYear
2011
fDate
13-15 May 2011
Firstpage
172
Lastpage
175
Abstract
The cotton planting desire of farmers in America can largely affect the cotton market supply in American, even the whole world. So knowing the change of cotton planting desire of American farmers can help us to forecast the supply trend of the global cotton market. By analyzing the data of United States Department of Agriculture (USDA) of the last thirty years, three regression models were constructed. The optimal regression model was got by comparing the three models. Qualitative analysis was carried out on the basis of the former research. The result of quantitative analysis showed that the cotton planting desire of American farmers was largely affected by the cotton planting desire of last year, and the results of combination qualitative analysis with quantitative analysis were remarkable superior to the simple quantitative analysis.
Keywords
cotton; farming; forecasting theory; regression analysis; supply and demand; America; cotton market supply; cotton planting desire; forecasting research; global cotton market; optimal regression model; qualitative analysis; quantitative analysis; supply trend forecasting; Analytical models; Biological system modeling; Correlation; Cotton; Earth Observing System; Predictive models; America; Cotton planting desire; Qualitative analysis; Quantitative analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Business Management and Electronic Information (BMEI), 2011 International Conference on
Conference_Location
Guangzhou
Print_ISBN
978-1-61284-108-3
Type
conf
DOI
10.1109/ICBMEI.2011.5916899
Filename
5916899
Link To Document