Undesirable factors in stochastic DEA cross-efficiency evaluation: An application to thermal power plant energy efficiency

M. Khodadadipour, A. Hadi-Vencheh, M.H. Behzadi and M. Rostamy-malkhalifeh

Economic Analysis and Policy, 2021, vol. 69, issue C, 613-628

Abstract: In this study using an input-oriented data envelopment analysis (DEA) model with undesirable outputs a new stochastic model called Expected Ranking Criterion is proposed. The proposed model employs statistical techniques to evaluate the efficiency of decision making units (DMUs) with stochastic data. Based on the proposed model, a stochastic DEA (SDEA) cross-efficiency model is suggested for ranking and discrimination of DMUs. Then, given the non-uniqueness of resulting optimal solution, a stochastic model is introduced for rating priorities by which cross-efficiency evaluation is performed using aggressive approach. Finally, the proposed models are implemented for evaluating 32 thermal power plants. The results show the applicability of the proposed models.

Keywords: Stochastic data envelopment analysis; Stochastic cross-efficiency evaluation; Undesirable outputs; Expected ranking criterion; Stochastic ranking priority (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (16)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0313592621000138
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:ecanpo:v:69:y:2021:i:c:p:613-628

DOI: 10.1016/j.eap.2021.01.013

Access Statistics for this article

Economic Analysis and Policy is currently edited by Clevo Wilson

More articles in Economic Analysis and Policy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().