Directional scale elasticity considering the management preference of decision-makers

Autor:	Tiantian Ren, Wenbin Liu, Ruiyang Li, Zhongbao Zhou
Rok vydání:	2021
Předmět:	Returns to scale Scale (ratio) Basic research Computer science Elasticity (data store) Econometrics Data envelopment analysis Point (geometry) Management Science and Operations Research Chinese academy of sciences Preference Computer Science Applications Theoretical Computer Science
Zdroj:	RAIRO - Operations Research. 55:2861-2881
ISSN:	1290-3868 0399-0559
Popis:	Most data envelopment analysis (DEA) studies on scale elasticity (SE) and returns to scale (RTS) of efficient units arise from the traditional definitions of them in economics, which is based on measuring radial changes in outputs caused by the simultaneous change in all inputs. In actual multiple inputs/outputs activities, the goals of expanding inputs are not only to obtain increases in outputs, but also to expect the proportions of such increases consistent with the management preference of decision-makers. However, the management preference is usually not radial changes in outputs. With the latter goal into consideration, this paper proposes the directional SE and RTS in a general formula for multi-output activities, and offers a DEA-based model for the formula of directional SE at any point on the DEA frontier, which is straightforward and requires no simplifying assumptions. Finally, the empirical part employs the data of 16 basic research institutions in Chinese Academy of Sciences (CAS) to illustrate the superiority of the proposed theories and methods.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::fe81db261ddd8e8802756c54b363a546 https://doi.org/10.1051/ro/2021131 Zobrazit plný text záznamu