Regular Variable Returns to Scale Production Frontier and Efficiency Measurement

Breakthrough in Measuring Efficiency with Respect to Nonconvex Technology The variable returns to scale (VRS) frontier, commonly used in data envelopment analysis, has a convex technology set and follows a specific “regular VRS” structure in economics. This structure demonstrates increasing, constant, and then, decreasing returns to scale, and it is the standard in data envelopment analysis. When the convexity assumption is relaxed, modeling regular VRS becomes challenging, and no satisfactory solution currently exists for multioutput production. In “Regular Variable Returns to Scale Production Frontier and Efficiency Measurement,” Li, Tsang, Lee, and He introduce a new framework for analyzing regular variable returns to scale and propose an innovative empirical production frontier. This new frontier can more accurately measure technical efficiency without the convexity assumption. The implications of this research are extensive, impacting fields like manufacturing, agriculture, healthcare, banking, etc., with crucial findings for informed decision making and effective policy implementation.

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Publication Details

Journal
Operations Research
Published
2024-11-12
DOI
https://doi.org/10.1287/opre.2021.0470
Citations
3
Primary Topic
Economic Growth and Productivity
Type
article
Field-Weighted Citation Impact
3.39
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article

Regular Variable Returns to Scale Production Frontier and Efficiency Measurement

Sung Ko Li, Shu Kam Lee, Xinju He, Chun Kei Tsang
3 citations
Operations Research
Economic Growth and Productivity
3.39
article

Regular Variable Returns to Scale Production Frontier and Efficiency Measurement

Sung Ko Li, Shu Kam Lee, Xinju He, Chun Kei Tsang
article en
3 citations

Abstract

Breakthrough in Measuring Efficiency with Respect to Nonconvex Technology The variable returns to scale (VRS) frontier, commonly used in data envelopment analysis, has a convex technology set and follows a specific “regular VRS” structure in economics. This structure demonstrates increasing, constant, and then, decreasing returns to scale, and it is the standard in data envelopment analysis. When the convexity assumption is relaxed, modeling regular VRS becomes challenging, and no satisfactory solution currently exists for multioutput production. In “Regular Variable Returns to Scale Production Frontier and Efficiency Measurement,” Li, Tsang, Lee, and He introduce a new framework for analyzing regular variable returns to scale and propose an innovative empirical production frontier. This new frontier can more accurately measure technical efficiency without the convexity assumption. The implications of this research are extensive, impacting fields like manufacturing, agriculture, healthcare, banking, etc., with crucial findings for informed decision making and effective policy implementation.

Operations ResearchVol. 73(5)
Hong Kong Baptist University (HK), Guangxi University (CN), Hefei University of Technology (CN), Hong Kong Shue Yan University (CN)
Openalex Percentile: Top 6%
Economic Growth and Productivity
3.39
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