Aggregating the DEA prospect cross-efficiency with an application to state key laboratories in China

Hui-hui Liu, Yao-yao Song, Xiao-xiao Liu and Guo-liang Yang

Socio-Economic Planning Sciences, 2020, vol. 71, issue C

Abstract: With growing investments in the state key laboratories (SKLs) of China, it is essential to assess the efficiency of the administrative departments regarding managing the SKLs of China. However, few studies have been conducted about the evaluation of the performance of Chinese administrative departments in managing SKLs. To fill this gap, this paper investigates the performance within 22 SKL administrative departments in China, based on a data envelopment analysis cross-efficiency prospect aggregation approach incorporating the risk preference of decision maker. The empirical results show the major findings: (a) serious imbalance exists regarding the investment of 22 SKL administrative departments; (b) there are great differences among the performance of 22 SKL administrative departments; (c) some SKL administrative departments face an insufficient situation regarding the outputs; (d) different risk attitudes of decision maker have the significant impact on the evaluation results of the 22 SKL administrative departments. Based on these findings, we provide several policy suggestions for the development of SKLs in China.

Keywords: Data envelopment analysis; Prospect theory; Cross-efficiency; Aggregation (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:soceps:v:71:y:2020:i:c:s0038012119300242

DOI: 10.1016/j.seps.2020.100809

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