Unveiling environmental resilience: A data-driven multi-criteria decision-making approach


Ozdemir S.

ENVIRONMENTAL IMPACT ASSESSMENT REVIEW, vol.108, 2024 (SSCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 108
  • Publication Date: 2024
  • Doi Number: 10.1016/j.eiar.2024.107607
  • Journal Name: ENVIRONMENTAL IMPACT ASSESSMENT REVIEW
  • Journal Indexes: Social Sciences Citation Index (SSCI), Scopus, International Bibliography of Social Sciences, PASCAL, Aerospace Database, Aquatic Science & Fisheries Abstracts (ASFA), CAB Abstracts, Chimica, Communication Abstracts, Compendex, Environment Index, Greenfile, Metadex, Pollution Abstracts, Public Affairs Index, Veterinary Science Database, DIALNET, Civil Engineering Abstracts
  • Kayseri University Affiliated: Yes

Abstract

Environmental resilience is essential for protecting social and economic well-being against both present and future unforeseen challenges. Notably, countries characterized by high greenhouse gas emissions play a substantial role in contributing to environmental stress and climate change. A limited assessment of environmental resilience in the most polluting countries could leave them highly vulnerable to managing present and future climate risks and threats. To this end, this study investigates the environmental resilience of the most polluting countries using data-driven multicriteria decision-making methods, Integrated Determination of Objective CRIteria Weights (IDOCRIW) and COmbined COmpromise Solution (CoCoSo). Furthermore, the study conducts comparative analysis and Spearman's correlation test to assess the consistency and reliability of the proposed method. As a result of IDOCRIW weighting technique, fossil fuel subsidies, resource productivity, and water stress were identified most significant criteria while pesticide use was the least significant criterion to achieve environmental resilience. Additionally, the Borda method was applied to derive a single ranking result. The Borda method demonstrated that Switzerland, the United Kingdom, and the EU-27 emerged as the most environmentally resilient alternatives, whereas Russia, T & uuml;rkiye, and China were identified as the least environmentally resilient countries. The overall findings suggest a pattern wherein developing and most polluting countries generally exhibit lower environmental resilience, while developed countries tend to demonstrate higher environmental resilience. This proposed approach assists policymakers in identifying key indicators of environmental resilience, addressing policy regulations, and facilitating a more sustainable environmental transformation.