Efficiency Analysis of Higher Education Institutions Using the BCC Model of DEA: A Case Study of Colleges in Guangdong, China
- DOI
- 10.2991/978-94-6463-568-3_44How to use a DOI?
- Keywords
- Higher Education Efficiency; BCC Model; DEA (Data Envelopment Analysis)
- Abstract
The efficiency of three provincial public colleges in Guangdong Province (Case A, Case B, and Case C) is assessed using the BCC model of Data Envelopment Analysis (DEA). Despite their similar institutional status, the colleges differ in location, history, disciplinary focus, and resource availability, which influence their operational efficiency. Case A demonstrates both pure technical efficiency (PTE = 1.00) and scale efficiency (SE = 1.00), indicating optimal resource use and scale management. Case B shows full technical efficiency (PTE = 1.00) but inefficiencies in scale (SE = 0.90), suggesting room for improvement in scale adjustments. Case C operates near the efficient frontier with a BCC efficiency score of 0.97, indicating a 3% potential for improvement. These findings offer valuable insights for policymakers to enhance efficiency in Guangdong’s higher education system. Future research could broaden the scope by including more institutions and exploring dynamic efficiency changes over time.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Fangjun Song AU - Yichia Lin AU - Haijin Xiong PY - 2024 DA - 2024/11/27 TI - Efficiency Analysis of Higher Education Institutions Using the BCC Model of DEA: A Case Study of Colleges in Guangdong, China BT - Proceedings of the 2024 5th International Conference on Modern Education and Information Management (ICMEIM 2024) PB - Atlantis Press SP - 356 EP - 361 SN - 2667-128X UR - https://doi.org/10.2991/978-94-6463-568-3_44 DO - 10.2991/978-94-6463-568-3_44 ID - Song2024 ER -