According to the connotation of the scientific outlook on development: "insisting on human-oriented, creating the comprehensive, coordinated and sustainable outlook on development, and promoting the overall development of economy, society and human", this paper establishes an indicators system to evaluate science and technology (S&T) among Chinese provinces based on the R cluster and factor analysis. According to the evaluation principles which include the S&T output, the influence of S&T on economy and society and the S&T input, by using value change of each indicator to determine their weights, this paper constructs the S&T evaluation model based on the indicator value change, and then carries out an empirical study of 14 typical provinces of China in 2009. The contribution and special features of this paper lie in two aspects. Firstly, this paper determines the weight of indicators by comparing the result of clustering between the original indicator values and the changed ones. It reflects the idea that the greater the indicators' impact on the evaluation results is, the bigger their weights should be. This changes the situation that existing researches neglect indicators change's impact on evaluation result when determining their weights. Secondly, the five main influential indicators of S&T development are comprehensive energy consumption per ten-thousand-yuan GDP, the contribution rate of S&T progress, the comprehensive utilization rate of industrial solid waste, export of high-tech products and the gross yield proportion of high-tech industries and total industries. These five indicators play an important role on the S&T development and the sum of their weight is up to 0.6150.
Key words
scientific outlook on development /
S&T evaluation /
change of indicators’value /
empirical study
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