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 :
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