Forecast on Shanghais Input-intensity of R&D Based on the Model DGM (1,1)
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 Shanghais future strategic decision-making in science and technology investment.
Bin Hu Yinglin Qin
Management School Shanghai University of Engineering Science Shanghai, China
国际会议
International Conference on Management and Service Science(2011年第五届管理与服务科学国际会议 MASS 2011)
武汉
英文
1-4
2011-08-12（万方平台首次上网日期，不代表论文的发表时间）