Title :
Statistical Monitoring Method for Science and Technology Advancement Reflecting Traditional Industry Upgrading
Author :
Dong, Shaohui ; Tian, Lina ; Li, Rongping
Author_Institution :
Sch. of Manage. & Econ., Hebei Univ. of Sci. & Technol., Shijiazhuang, China
Abstract :
In order to monitor the promoting effect of science and technology advancement on traditional industry upgrading, the logical structure of science and technology advancement reflecting traditional industry upgrading has been analyzed, and on the base of this, an evaluation index system has been proposed from perspectives of science and technology base, science and technology investment, science and technology transformation, science and technology output, and industry development. According to the statistical data from 2009 to 2010, the level of science and technology advancement reflecting traditional industry upgrading in China has been evaluated by using multi-hierarchy fuzzy comprehensive method and the result shows that it is in a low level and has a big gap between all the regions, and there is also is a scalari form situation between eastern and western regions.
Keywords :
factory automation; investment; statistical analysis; technology management; China; eastern regions; evaluation index system; industry development; logical structure; multihierarchy fuzzy comprehensive method; science and technology advancement; science and technology investment; science and technology output; science and technology transformation; statistical monitoring method; traditional industry upgrading; western regions; Cities and towns; Indexes; Industries; Investments; Monitoring; Standards; multi-hierarchy fuzzy comprehensive method; science and technology advancement monitor; traditional industry upgrading;
Conference_Titel :
Computational Sciences and Optimization (CSO), 2012 Fifth International Joint Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4673-1365-0
DOI :
10.1109/CSO.2012.123