DocumentCode :
3245322
Title :
Empirical analysis on input-output efficiency of advanced equipment manufacturing industry based on DEA method
Author :
Wang, Guozhen ; Wu, Jingru
Author_Institution :
Coll. of Econ. & Manage., Hebei Univ. of Sci. & Technol., Shijiazhuang, China
fYear :
2012
fDate :
15-17 July 2012
Firstpage :
321
Lastpage :
326
Abstract :
As one of the strategic new industries, advanced equipment manufacturing industry is the key point of modern industrial system. The level of input-output efficiency is related closely to resource allocation of equipment manufacturing industry and modern industry transformation and upgrading. This article uses DEA method to make positive measure of technical and scale validity of input-output efficiency in advanced equipment manufacturing in Hebei Province, China, in 2007 and 2009. 37 subclasses are classified into different types which refer to the characteristics of input-output efficiency in different types of industry. The result shows that the technical validity of input-output efficiency of various industries is related to scale validity. Subclasses in different industries should take effective measure to improve input-output efficiency based on their own situations.
Keywords :
data envelopment analysis; manufacturing industries; pattern classification; resource allocation; strategic planning; DEA method; Hebei province; advanced equipment manufacturing industry; input-output efficiency; modern industry transformation; resource allocation; Decision making; Indexes; Instruments; Manufacturing; Manufacturing industries; Production; Advanced equipment manufacturing industry; DEA method; Input-output efficiency;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wavelet Analysis and Pattern Recognition (ICWAPR), 2012 International Conference on
Conference_Location :
Xian
ISSN :
2158-5695
Print_ISBN :
978-1-4673-1534-0
Type :
conf
DOI :
10.1109/ICWAPR.2012.6294801
Filename :
6294801
Link To Document :
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