A review of inverse data envelopment analysis: origins, development and future directions

A Emrouznejad, GR Amin, M Ghiyasi… - IMA journal of …, 2023 - academic.oup.com
Data envelopment analysis (DEA) is a widely used mathematical programming approach for
assessing the efficiency of decision-making units (DMUs) in various sectors. Inverse DEA is …

[HTML][HTML] A survey and analysis of the first 40 years of scholarly literature in DEA: 1978–2016

A Emrouznejad, G Yang - Socio-economic planning sciences, 2018 - Elsevier
In recent years there has been an exponential growth in the number of publications related
to theory and applications of Data Envelopment Analysis (DEA). Charnes, Cooper, and …

Managing bank performance under COVID‐19: A novel inverse DEA efficiency approach

S Boubaker, TDQ Le, T Ngo - International Transactions in …, 2023 - Wiley Online Library
The evolution of the COVID‐19 pandemic is highly unpredictable; however, its impacts are
limited to neither a single sector nor a single country. This study evaluates the performance …

A novel inverse DEA model with application to allocate the CO2 emissions quota to different regions in Chinese manufacturing industries

A Emrouznejad, G Yang, GR Amin - Journal of the Operational …, 2019 - Taylor & Francis
This paper aims to address the problem of allocating the CO2 emissions quota set by
government goal in Chinese manufacturing industries to different Chinese regions. The CO2 …

Efficiency and allocation of emission allowances and energy consumption over more sustainable European economies

F Cucchiella, I D'Adamo, M Gastaldi… - Journal of Cleaner …, 2018 - Elsevier
Efficient use of energy, reduction in fossil fuel dependence and control of CO 2 emissions
are all fundamental to development of a sustainable economy. Competitiveness in energy …

A generalized inverse DEA model for firm restructuring based on value efficiency

J Gerami, MR Mozaffari, PF Wanke… - IMA journal of …, 2023 - academic.oup.com
We present a novel general inverse data envelopment analysis model for assessing the
restructuring of decision-making units (DMUs) while observing predetermined value …

A common-weights DEA model for centralized resource reduction and target setting

A Hatami-Marbini, M Tavana, PJ Agrell, FH Lotfi… - Computers & Industrial …, 2015 - Elsevier
Abstract Data Envelopment Analysis (DEA) is a powerful tool for measuring the relative
efficiency for a set of Decision Making Units (DMUs) that transform multiple inputs into …

Inverse DEA: review, extension and application

S Ghobadi, S Jahangiri - International Journal of Information …, 2015 - World Scientific
This paper deals with inverse DEA from both theoretical and applied viewpoints. First, some
methodological approaches and theoretical results are outlined; and then an application of …

A new inverse DEA cost efficiency model for estimating potential merger gains: a case of Canadian banks

GR Amin, M Ibn Boamah - Annals of Operations Research, 2020 - Springer
Estimating potential gains from mergers is an important strategic decision-making problem.
This paper introduces a new inverse data envelopment analysis (DEA) based on a cost …

Allocation of carbon dioxide emission permits with the minimum cost for Chinese provinces in big data environment

Q An, Y Wen, B Xiong, M Yang, X Chen - Journal of cleaner production, 2017 - Elsevier
The environmental problem and global warming have drawn many governments' attention.
In order to solve the problem, reasonable allocation of carbon dioxide emission (CDE) …