An evaluation of R&D efficiencies of industrial clusters through the three-stage benevolent DEA

Science Research Management ›› 2017, Vol. 38 ›› Issue (7): 54-61.

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An evaluation of R&D efficiencies of industrial clusters through the three-stage benevolent DEA

Li Ye¹, Wang Yanzhang¹, Cui Qiang²

1. Faculty of Management and Economics, Dalian University of Technology, Dalian 116023, Liaoning, China; 
2. School of Economics and Management, Southeast University, Nanjing 211189, Jiangsu, China

Received:2014-12-11 Revised:2016-04-22 Online:2017-07-20 Published:2017-07-11

Abstract

Abstract: In recent years, R&D efficiency has aroused wide concern among researchers, but few studies have involved the R&D efficiency of industry clusters. This paper selects internal R&D expenditure and number of R&D personnel as an input, and number of invention patents authorization is chosen as an output. Then this paper proposes the three-stage benevolent DEA model considering cooperation between decision-making units and calculates the R&D efficiencies of 10 industrial clusters during 2008-2012. The results verify the feasibility of the model and show that: (1) R&D efficiencies have increased obviously after the environmental factors and random factors are eliminated; (2) urban per capita GDP and number of graduates have a significant positive impact on the input redundancy of internal R&D expenditure and number of R&D personnel. The proportion of government R&D funds in urban total R&D expenditure has a positive influence in the input redundancy of internal expenditure of R&D while it has a negative influence in the number of R&D personnel.

Key words: industrial cluster, R&D efficiency, three-stage benevolent DEA

Li Ye, Wang Yanzhang, Cui Qiang. An evaluation of R&D efficiencies of industrial clusters through the three-stage benevolent DEA[J]. Science Research Management, 2017, 38(7): 54-61.

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An evaluation of R&D efficiencies of industrial clusters through the three-stage benevolent DEA

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