Research on the efficiency of R&D resource allocation based on DEA approach

Author

Liu, Quan-le ; Han, Li-hong ; Zhuang, Wei-wei

Author_Institution

Sch. of Econ. & Manage., Hebei Univ. of Sci. & Technol., Shijiazhuang, China

Volume

2

fYear

2011

fDate

10-13 July 2011

Firstpage

621

Lastpage

626

Abstract

The R&D (Research and Development) investment in China has increased significantly and the proportion of the industrial investments in R&D activities compared with national R&D investments has increased rapidly. R&D activities play a crucial role in enhancing the ability of companies to achieve rapid and sustainable growth. To investigate the effectiveness of these R&D investments, we make use of the DEA (Data Envelopment Analysis) models to evaluate the efficiency of R&D investments using Data from 1991 to 2008. Through analyzing the input and output by DEA approach, we can draw the conclusion that the efficiency of the R&D resources allocation is relatively low which presented the tendency firstly rise then fall. The result of the present work implied that only enhancing efficiency of the R&D resources allocation, can make our country into the innovation nation.

Keywords

data envelopment analysis; innovation management; investment; sustainable development; China; DEA approach; R and D resource allocation; data envelopment analysis models; innovation nation; rapid growth; research and development investment; sustainable growth; Economic indicators; Indexes; Investments; Machine learning; Marketing and sales; Redundancy; Resource management; DEA approach; Efficiency; R&D investment; Resource allocation;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics (ICMLC), 2011 International Conference on

Conference_Location

Guilin

ISSN

2160-133X

Print_ISBN

978-1-4577-0305-8

Type

conf

DOI

10.1109/ICMLC.2011.6016801

Filename

6016801