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Prioritizing the European Investment Sectors Based on Different Economic, Social, and Governance Factors Using a Fuzzy-MEREC-AROMAN Decision-Making Model

This study tackles the challenge of identifying optimal investment sectors amid the growing importance of environmental, social, and governance (ESG) factors, which are often complex and conflicting. This research aims to effectively evaluate and prioritize ten investment sectors based on twelve ESG...

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Published in:Sustainability 2024, Vol.16 (17)
Main Authors: Olteanu (Burca), Andreea Larisa, Ionascu, Alina Elena, Cosma, Sorinel, Barbu, Corina Aurora, Popa, Alexandra, Cioroiu, Corina Georgiana, Goswami, Shankha Shubhra
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container_issue 17
container_start_page
container_title Sustainability
container_volume 16
creator Olteanu (Burca), Andreea Larisa
Ionascu, Alina Elena
Cosma, Sorinel
Barbu, Corina Aurora
Popa, Alexandra
Cioroiu, Corina Georgiana
Goswami, Shankha Shubhra
description This study tackles the challenge of identifying optimal investment sectors amid the growing importance of environmental, social, and governance (ESG) factors, which are often complex and conflicting. This research aims to effectively evaluate and prioritize ten investment sectors based on twelve ESG criteria by integrating expert evaluations with two advanced multi-criteria decision-making (MCDM) methods. Three expert teams assessed each sector’s performance based on these criteria using fuzzy logic to manage uncertainties in expert judgments. The MEREC (MEthod based on the Removal Effects of Criteria) identified biodiversity and land use as the most critical factor, while transparency and disclosure was least significant. The AROMAN (Alternative Ranking Order Method Accounting for two-step Normalization) method was further used to rank the ten alternative sectors, with impact investing funds emerging as the top choice, followed by renewable energy and sustainable responsible investment funds. Conversely, ESG-compliant stocks, ESG-focused exchange-traded funds, and ESG-focused real estate investment trusts ranked the lowest. The study’s findings were validated through comparisons with other MCDM tools and sensitivity analysis, confirming the robustness of the proposed model. This research offers a valuable framework for investors looking to incorporate ESG considerations into their decision-making, promoting sustainable and responsible investing practices.
doi_str_mv 10.3390/su16177790
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language eng
recordid cdi_gale_infotracacademiconefile_A808809307
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subjects Corporate governance
Corporate social responsibility
Environmental aspects
Environmental sustainability
Fuzzy algorithms
Fuzzy logic
Fuzzy systems
Investments
Management
Multiple criteria decision making
Social aspects
title Prioritizing the European Investment Sectors Based on Different Economic, Social, and Governance Factors Using a Fuzzy-MEREC-AROMAN Decision-Making Model
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