DocumentCode :
2582054
Title :
Empirical analysis of R&D capability in China’s automotive firms
Author :
Lee, Xianjun ; Xie, Nanxiang ; Pang, Li
Author_Institution :
Dept. of Automotive Eng., Tsinghua Univ., Beijing
fYear :
2008
fDate :
27-31 July 2008
Firstpage :
294
Lastpage :
303
Abstract :
R&D capability is the core of technological capability. At present, China has become the second largest market and the third largest automaker country in the world. But the quantitative and systematic research on the R&D capability of automotive firms in China is not enough. In this paper, we synthetically evaluate the R&D capability of China´s 18 main automotive films who own independent brand instead of foreign brand by using input-output model and analytical hierarchy process, entropy weight coefficient method and regression analysis method. The relationship between the capabilities of R&D input and R&D output is investigated as well. It is found that there is nonequilibrium and big difference among R&D capability of China´s automotive firms, in which the R&D capability of traditional big firms is weaker than that of the later comer. According to the R&D capability scores calculated through the mathematical model established in the paper, three gradients of firms are drawn. Enterprises with strong R&D capability insist on pursuing the road of independent R&D primarily and cooperation as auxiliary.
Keywords :
automobile industry; regression analysis; research and development; China; R&D; analytical hierarchy process; automaker country; automotive firms; entropy weight coefficient method; foreign brand; independent brand; regression analysis method; Africa; Analytical models; Automobiles; Automotive engineering; Cities and towns; Laboratories; Performance analysis; Productivity; Research and development; Safety;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Management of Engineering & Technology, 2008. PICMET 2008. Portland International Conference on
Conference_Location :
Cape Town
Print_ISBN :
978-1-890843-17-5
Electronic_ISBN :
978-1-890843-18-2
Type :
conf
DOI :
10.1109/PICMET.2008.4599635
Filename :
4599635
Link To Document :
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