A proposed fixed-sum carryovers reallocation DEA approach for social scientific resources of Chinese public universities

Xi Xiong (), Guo-liang Yang (), Kai-di Liu () and Zhou De-qun ()
Additional contact information
Xi Xiong: Nanjing University of Aeronautics and Astronautics
Guo-liang Yang: Chinese Academy of Sciences
Kai-di Liu: Shandong University
Zhou De-qun: Nanjing University of Aeronautics and Astronautics

Scientometrics, 2022, vol. 127, issue 7, No 18, 4097-4121

Abstract: Abstract How to evaluate and optimize the allocative efficiency of multiple research resources is of great importance for decision-makers and has great practical application value. This is especially true in the case of unbalanced allocation and inefficient utilization of research resources in Chinese higher education institutions (HEIs). Data Envelopment Analysis (DEA) brings a new perspective on the resource allocation problem. However, the conventional paradigm of the resource allocation model in DEA assumes that inputs or outputs can be expanded freely when projecting decision-making units (DMUs) onto the efficient frontier. Thus, it is very difficult to deal with a situation where there is a trade-off between the evaluated units with the fixed-sum output. Considering a common resource allocation problem that occurs in multi-period activities where a carry-over indicator has the fixed-sum characteristic, we extend the study of Yang et al. (Eur J Oper Res 246(1):209–217, 2015) into a dynamic framework by taking the time dimension into account. The proposed approach is applied to reallocate the social scientific resources of Chinese HEIs from 2017 to 2019. The results show that all DMUs are in effective condition after reallocation and the optimal adjustments of newly approved projects can be obtained.

Keywords: Resource allocation; Data envelopment analysis; Multi-period activities; Social scientific resources; Higher education institutions (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://link.springer.com/10.1007/s11192-022-04411-9 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:scient:v:127:y:2022:i:7:d:10.1007_s11192-022-04411-9

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11192

DOI: 10.1007/s11192-022-04411-9

Access Statistics for this article

Scientometrics is currently edited by Wolfgang Glänzel

More articles in Scientometrics from Springer, Akadémiai Kiadó
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().