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Articles

Measuring S&T Efficiency and its Decomposition using a Two-stage DEA Model with Nested Parallel Structure

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  • 1. Institutes of Science and Development, Chinese Academy of Sciences, Beijing 100190, China;
    2. School of Public Policy and Management, University of Chinese Academy of Sciences, Beijing 100049, China

Received date: 2017-05-24

  Revised date: 2017-10-29

  Online published: 2019-04-28

Abstract

Existing studies have applied the two-stage DEA model to the innovation activities and divided it into two stages:R&D process and transformation process.In order to obtain more information about different modes of transformation efficiency, the traditional two-stage DEA model is extended with the parallel structure inside,which is comprised of internal and external transformation. 14 institutes of the Chinese Academy of Sciences are selected as DMUs, and the weighted addition decomposition method is applied to calculate the overall efficiency and the efficiency of each stage.By contrasting to the traditional two-stage DEA model,the former model underestimates the transformation efficiency. The results show:The mean of total S&T innovation is at a low level and the R&D process efficiency is higher than the transformation efficiency,so it still needs to improve the efficiency of transformation.In the second process,internal transformation efficiency is higher than external, which contributes to the low transformation efficiency.Finally, all DMUs are divided into four categories and the realization path about how to improve S&Tinnovation is analyzed, by proposing the key breakthrough mode and the gradual breakthrough mode.

Cite this article

XIONG Xi, GUAN Zhong-cheng, YANG Guo-liang, ZHENG Hai-jun . Measuring S&T Efficiency and its Decomposition using a Two-stage DEA Model with Nested Parallel Structure[J]. Chinese Journal of Management Science, 2019 , 27(3) : 206 -216 . DOI: 10.16381/j.cnki.issn1003-207x.2019.03.021

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