A novel inverse DEA-R model with application in hospital efficiency
Mojtaba Ghiyasi,
Mehdi Soltanifar and
Hamid Sharafi
Socio-Economic Planning Sciences, 2022, vol. 84, issue C
Abstract:
The inverse Data Envelopment Analysis (DEA) method is primarily used to analyze the changing relationship between the inputs and outputs of production units while preserving efficiency levels. This paper aims to perform an efficiency and post-efficiency analysis of 130 public hospitals in Iran. However, we faced with some hospital data that are only available in form of ratios. This motivates us to develop a novel and proper inverse DEA methodology capable of dealing with such cases. We develop the theoretical foundation of the inverse DEA-R model as a post-efficiency analysis approach. Both input-oriented and output-oriented inverse models are developed. In the end, we apply the proposed models for efficiency assessment and moreover inverse analysis of 130 public hospitals in Iran.
Keywords: DEA; Inverse DEA; Inverse DEA-R; Public hospitals (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0038012122002282
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:soceps:v:84:y:2022:i:c:s0038012122002282
DOI: 10.1016/j.seps.2022.101427
Access Statistics for this article
Socio-Economic Planning Sciences is currently edited by Barnett R. Parker
More articles in Socio-Economic Planning Sciences from Elsevier
Bibliographic data for series maintained by Catherine Liu ().