Maximizing Efficiency and Mobility in Education Funding: A Three-Stage Centralized Data Envelopment Analysis Model
Bo Hsiao () and
Kok Fong See
Additional contact information
Bo Hsiao: National Yunlin University of Science and Technology
A chapter in Advances in the Theory and Applications of Performance Measurement and Management, 2024, pp 261-277 from Springer
Abstract:
Abstract Financial resource planning is essential for resource allocation and overall university performance enhancement. Allocating financial resources across universities by the central government can be a complex and time-consuming task, particularly when the Ministry of Education is responsible for coordinating and monitoring a group of universities in China. In addition, education funding from the central government is always limited, and therefore, such funding must be allocated efficiently. However, the importance of the mobility of these financial resources across universities is often ignored. To address this issue, this chapter proposes a three-stage centralized data envelopment analysis method to analyze university efficiency from the financial resource perspective, focusing on the transfer-out and transfer-in of different universities. This approach aims to maximize the efficiency of individual universities while also considering overall adjustments. The results can provide an essential reference for the overall planning of financial resources policies, timely adjustment of the organization's operating conditions, and enhancement of the organization's ability to adapt to changes in the financial resources environment to improve operational performance and maintain sustainable management.
Keywords: Centralized DEA; Education funding; Resource allocation; China (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
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:lnopch:978-3-031-61597-9_20
Ordering information: This item can be ordered from
http://www.springer.com/9783031615979
DOI: 10.1007/978-3-031-61597-9_20
Access Statistics for this chapter
More chapters in Lecture Notes in Operations Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().