Paper Title:
Using Grey Prediction Theory to Forecast Expenditure for Science & Technology Activities in China
  Abstract

Based on the statistical data during the period from 2003 to 2008 released by National Bureau of Statistics of China, this paper aims to predict the amount of expenditure for science & technology activities in China by the usage of GM (1,1) model with the six items. The results of this empirical study is that the grey prediction theory can fit the expenditure for science & technology activities amount development trend precisely in China. The accuracy of the prediction result is above 95% and corresponds with a distinction, which the grey theory can meet expectations with small samples or data. Research results show that this GM (1,1) model established in this paper could provide valuable information for policy makers in their efforts to make appropriate technological policies.

  Info
Periodical
Edited by
Yanwen Wu
Pages
504-509
DOI
10.4028/www.scientific.net/AMR.187.504
Citation
W. W. Li, "Using Grey Prediction Theory to Forecast Expenditure for Science & Technology Activities in China", Advanced Materials Research, Vol. 187, pp. 504-509, 2011
Online since
February 2011
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