DocumentCode :
2184501
Title :
Research on Measurement and Comparison of Technological Innovation Efficiency of Key Industries in HeBei Province
Author :
Yu Huixin ; Hao Yongjing ; Xia Zheng ; Xu Aiping
Author_Institution :
Manage. Sch., Hebei Univ. of Technol., Tianjin, China
fYear :
2010
fDate :
24-26 Aug. 2010
Firstpage :
1
Lastpage :
4
Abstract :
This paper first deals with the measurement of technological innovation output and a detailed description of two-stage approach, the least squares method adopted in the first stage can estimate Cobb - Douglas production function of the industry and the resulting residuals are considered as the output indicators of the industries´ technological innovation. In the second stage, the stochastic frontier model and the corresponding results drawn from the previous stage are used to estimate new technological innovation function of the entire industry, and the indexes of technological innovation efficiency in different industries are obtained accordingly. Subsequently, the technological innovation efficiency of the key industries in Hebei Province, including iron and steel, food, pharmaceutical, architecture and construction material, textile and garment, equipment manufacturing and petrochemical, is measured by means of this method. Lastly, the related proposals, according to the difference and developing trend of technological innovation efficiency index in different industries, on increasing technological innovation input and reasonable resources allocation are respectively put forward so as to improve the technological innovation efficiency and promote the development of key industries.
Keywords :
construction industry; food processing industry; fuel processing industries; innovation management; least squares approximations; machinery production industries; pharmaceutical industry; resource allocation; steel industry; technology management; textile industry; Cobb-Douglas production function; Hebei province; construction industry; equipment manufacturing industry; food industry; least squares method; petrochemical industry; pharmaceutical industry; resource allocation; steel industry; stochastic frontier model; technological innovation; textile industry; Economics; Industries; Iron; Materials; Production; Stochastic processes; Technological innovation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Management and Service Science (MASS), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5325-2
Electronic_ISBN :
978-1-4244-5326-9
Type :
conf
DOI :
10.1109/ICMSS.2010.5577651
Filename :
5577651
Link To Document :
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