EconPapers    
Economics at your fingertips  
 

Comparing eco-efficiency with productive efficiency: Addressing the dimensionality issue

Chien-Ming Chen and Hui Wang

European Journal of Operational Research, 2024, vol. 313, issue 3, 1170-1179

Abstract: One important strategic question in sustainable operations is how explicitly internalizing the societal impact of undesirable outputs (UO) would affect a company's relative competitiveness: the discrepancy between eco-efficiency and productive efficiency. This paper presents a DEA approach to evaluating the impact of considering UO on productive efficiency. The main challenge to be overcome is that the two models have different dimensionalities: the eco-efficiency model additionally considers UO and thus is endowed with higher dimensionality. Prior research suggested that the added dimensionality alone can inflate the overall efficiency score. Thus, comparing the eco-efficiency directly with productive efficiency scores would create biased results. Moreover, the model should allow a firm's eco-efficiency to be higher or lower than its productive efficiency, depending on its relative UO performance. This paper proposes an approach to addressing these issues. More generally, our approach applies to studies that compare efficiency scores from models with different dimensions. We included several numerical examples for illustration.

Keywords: Data Envelopment Analysis; Eco-efficiency; Undesirable outputs; Dimensionality; Disposability assumption (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0377221723007038
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:ejores:v:313:y:2024:i:3:p:1170-1179

DOI: 10.1016/j.ejor.2023.09.001

Access Statistics for this article

European Journal of Operational Research is currently edited by Roman Slowinski, Jesus Artalejo, Jean-Charles. Billaut, Robert Dyson and Lorenzo Peccati

More articles in European Journal of Operational Research from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:ejores:v:313:y:2024:i:3:p:1170-1179