DocumentCode :
3432171
Title :
An improved system dynamics model for China´s ration demand system
Author :
Yanhua Li ; Xiuxia Lu ; Bingjun Li
Author_Institution :
Coll. of Inf. & Manage. Sci., Henan Agric. Univ., Zhengzhou, China
fYear :
2011
fDate :
3-5 Aug. 2011
Firstpage :
273
Lastpage :
277
Abstract :
Based on the System Dynamics approach, a forecasting model for China´s ration demand, named SDCRD, is developed. To further improve the fitness for historical data of traditional System Dynamics model, Support Vector Machine (SVM) technique is also applied, which has the ability to increase the efficiency and accuracy of SDCRD. Considering the ration demand system and other influential factors, such as the urbanization rate, residents´ consumption habits, per capita income, and scientific-technical progress, etc. as a holistic system, SDCRD makes a more objective and accurate forecast for China´s future ration demand. The prediction results indicate that the amount of overall ration demand in China has a moderate increase from 228.935 million tons in 2011 up to 230.65 million tons in 2020, with an average annual growth rate of 0.075%. Furthermore, the proportion of urban ration demand to total consumption steadily increases by years, from 36.77% in 2011 to 43.02% in 2020, whereas the rural ration demand descends gently from 144.754 million tons in 2011 to 134.062 million tons in 2020, which reflects the trend of structural changes of China´s ration demand in coming decade.
Keywords :
forecasting theory; government data processing; support vector machines; China; forecasting model; historical data; per capita income; ration demand system; residents consumption habits; scientific-technical progress; support vector machine technique; system dynamics model; urbanization rate; Analytical models; Forecasting; Predictive models; Sensitivity; Support vector machines; Urban areas; Yttrium; forecasting model; ration demand; support vector machines; system dynamics model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science & Education (ICCSE), 2011 6th International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-9717-1
Type :
conf
DOI :
10.1109/ICCSE.2011.6028633
Filename :
6028633
Link To Document :
بازگشت