TY - JOUR
T1 - An advanced data analytic approach for reallocating green gas emissions in cap-and-trade context
AU - Saen, Reza Farzipoor
AU - Moghaddas, Zohreh
AU - Azadi, Majid
N1 - Publisher Copyright:
© The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.
PY - 2024/2/28
Y1 - 2024/2/28
N2 - The swift economic growth experienced by nations has exacerbated the challenge of global warming over the years. Cap-and-trade stands out as the most effective approach for managing and reducing greenhouse gas emissions. This study aims to construct a data envelopment analysis model to redistribute authorized emissions among decision-making units (DMUs). Notably, the model accounts for the intricate relationship between the production of desirable and undesirable outputs within the cap-and-trade framework. Furthermore, the model adapts the current mathematical modelling by addressing undesirable output as an inherent by-product of the desirable output. Emphasis is placed on maximizing the collective efficiency scores of all DMUs. Additionally, to confront the presence of multiple potential optimal solutions in the cap-and-trade context, the model computes the efficiency interval of DMUs. Finally, the paper showcases the model's capabilities by presenting a comprehensive case study, demonstrating its practical application and effectiveness in addressing emissions reallocation within the cap-and-trade system.
AB - The swift economic growth experienced by nations has exacerbated the challenge of global warming over the years. Cap-and-trade stands out as the most effective approach for managing and reducing greenhouse gas emissions. This study aims to construct a data envelopment analysis model to redistribute authorized emissions among decision-making units (DMUs). Notably, the model accounts for the intricate relationship between the production of desirable and undesirable outputs within the cap-and-trade framework. Furthermore, the model adapts the current mathematical modelling by addressing undesirable output as an inherent by-product of the desirable output. Emphasis is placed on maximizing the collective efficiency scores of all DMUs. Additionally, to confront the presence of multiple potential optimal solutions in the cap-and-trade context, the model computes the efficiency interval of DMUs. Finally, the paper showcases the model's capabilities by presenting a comprehensive case study, demonstrating its practical application and effectiveness in addressing emissions reallocation within the cap-and-trade system.
KW - Cap-and-trade
KW - Data envelopment analysis (DEA)
KW - Efficiency
KW - Reallocation
KW - Undesirable outputs
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UR - https://www.mendeley.com/catalogue/c9161045-791b-36b7-b1c9-97067cac1e92/
U2 - 10.1007/s10479-024-05877-x
DO - 10.1007/s10479-024-05877-x
M3 - Article
AN - SCOPUS:85186216538
SN - 0254-5330
JO - Annals of Operations Research
JF - Annals of Operations Research
ER -