Equivalence and implementation of alternative methods for determining returns to scale in data envelopment analysis

被引：83

作者：

Banker, RD

Chang, HH

Cooper, WW

机构：

[1] UNIV TEXAS, GRAD SCH BUSINESS, AUSTIN, TX 78712 USA

[2] UNIV MINNESOTA, CARLSON SCH MANAGEMENT, MINNEAPOLIS, MN 55455 USA

[3] NATL CHENGCHI UNIV, COLL COMMERCE, TAIPEI, TAIWAN

来源：

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH | 1996年 / 89卷 / 03期

关键词：

data envelopment analysis; returns to scale; most productive scale size;

D O I：

10.1016/0377-2217(95)00044-5

中图分类号：

C93 [管理学];

学科分类号：

12 ; 1201 ; 1202 ; 120202 ;

摘要：

This paper discusses alternative methods for determining returns to scale in DEA. The methods for estimating returns to scale in DEA, as developed by Banker (1984), Banker, Charnes and Cooper (1984) and Banker and Thrall (1992), are proved to be conceptually equivalent to the two-stage methods of Fare, Grosskopf and Lovell (1985) when their assumptions apply. Here the emphasis is on the CCR model of DEA and very simple methods are introduced for determining returns to scale locally with this model by reference to Banker's concept of Most Productive Scale Size.

引用

页码：473 / 481

页数：9

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