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
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