Regular Variable Returns to Scale Production Frontier and Efficiency Measurement

• 成果类型: Article
• 署名作者: Li, Sung Ko; Tsang, Chun Kei; Lee, Shu Kam; He, Xinju
• 署名单位: Hong Kong Shue Yan University; Hefei University of Technology; Hong Kong Baptist University; Guangxi University; Guangxi University
• 刊物名称: OPERATIONS RESEARCH
• ISSN/ISSBN: 0030-364X
• DOI: 10.1287/opre.2021.0470
• 发表日期: 2025
• 关键词: nonparametric deterministic technologies; ultra passum law; Technical efficiency; convex input; S-curve; DEA; determinants; models; size

摘要

The most frequently used empirical production frontier in data envelopment analysis, the variable returns to scale frontier, has a convex technology set and displays a special structure in economics, called the regular variable returns to scale in this paper; the production technology exhibits increasing returns to scale at the beginning of the production process followed by constant returns to scale and decreasing returns to scale. When the assumption of convexity is relaxed, modeling regular variable returns to scale becomes difficult, and currently, no satisfactory solution is available in multioutput production. Overcoming these difficulties, this paper adopts a suggestion in literature to incorporate regular variable returns to scale into the free disposal hull frontier under multiple outputs. We establish a framework for analyzing regular variable returns to scale and recommend an empirical production frontier for measuring technical efficiency with such pattern and multiple outputs. In the presence of regular variable returns to scale without convexity, the value of the technical efficiency measure computed from this new frontier is closer to the true value than that from the free disposal hull frontier, and the conventional variable returns to scale frontier may cause misleading implications.