Title :
Forecast on Shanghai´s Input-Intensity of R&D Based on the Model DGM (1, 1)
Author :
Hu, Bin ; Qin, Yinglin
Author_Institution :
Manage. Sch., Shanghai Univ. of Eng. Sci., Shanghai, China
Abstract :
According to the statistical data of R&D input-intensity from 1995 to 2007 in Shanghai, the paper forecasts the medium-term and long-term R&D input-intensity in Shanghai based on a kind of improving form of grey forecasting model GM(1,1), that is DGM(1,1) model. The calculation results show that DGM (1, 1) model has some advantages, so as higher predicting precision, the better fitting with actual situation and so on. The construction and application of the model have a positive reference value to Shanghai´s future strategic decision-making in science and technology investment.
Keywords :
decision making; forecasting theory; grey systems; investment; research and development; strategic planning; R&D input-intensity; Shanghai; grey forecasting model; model DGM (1, 1); science and technology investment; strategic decision-making; Accuracy; Data models; Economics; Forecasting; Investments; Mathematical model; Predictive models;
Conference_Titel :
Management and Service Science (MASS), 2011 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-6579-8
DOI :
10.1109/ICMSS.2011.5997901