Inverse Frontier-based Benchmarking for Investigating the Efficiency and Achieving the Targets in the Vietnamese Education System

Minh Hanh Le, Mohsen Afsharian and Heinz Ahn

Omega, 2021, vol. 103, issue C

Abstract: This paper extends the theory of inverse frontier-based benchmarking to address the issue of effectiveness when investigating the efficiency of household expenditure in the case of the Vietnamese education system. Enhancing the conventional efficiency measurement approach by Data Envelopment Analysis (DEA), our study focuses on the derivation of meaningful benchmarks – in terms of the required level of inputs and outputs – for performance improvement. The proposed inverse optimization problem identifies the essential household education expenditures for 63 provincial education systems at different efficiency levels while the university entrance threshold for exam results is satisfied as an effectiveness constraint. The results strongly recommend including this constraint into the action plans of improving the educational achievements in all provinces across Vietnam. Besides revealing policy implications in the specific case, the proposed approach adds to current DEA literature by suggesting complementary measures such as effectiveness and feasibility to strengthen performance assessment.

Keywords: Data Envelopment Analysis; Vietnamese education system; Inverse optimization; Linear and mixed-integer programs (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (4)

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DOI: 10.1016/j.omega.2021.102427

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