Supplementary Data: Multi-Level TOPSIS Stability Benchmarking Framework for SDG-Based Sustainability Assessment (38 OECD Countries, 2015–2024)

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🔬研究者:This dataset enables replication and extension of the MCDM-based sustainability assessment methodology, useful for comparative studies of OECD countries.

🏛政策担当者:The framework offers a structured approach for evaluating national sustainability performance across multiple dimensions, informing policy prioritization and international benchmarking.

This repository contains the complete supplementary dataset for the work "A Decade of Air Pollution Sustainability Progress across OECD Countries: A Stability-Benchmarked, Two-Level Hierarchical Longitudinal MCDM Framework" It providing all data, calculation steps, formulas, and analysis outputs necessary for replicating the study's methods and results. The dataset covers 38 OECD countries across 9 SDG indicators spanning 2015–2024 , structured into five integrated files: 1. Annual_DM_Normalizations.xlsx Annual decision matrices (raw data) and five normalization schemes (N1–N5: Sum, Vector, Min-Max, Maximum, and Composite) for each year. This file constitutes Phase 1 of the TOPSIS benchmarking framework, establishing the standardized input matrices for subsequent weighting and evaluation. 2. Annual_Entropy_Weightings.xlsx Annual Entropy weighting results derived from each normalization method (N1–N5), presenting objective indicator weights based on information entropy theory. Includes Level 1 (indicator-level), Level 2 (domain-level: ET, EE, HSCV), and Global (combined) weight structures for 2015–2024. 3. Annual_CRITIC_Weightings.xlsx Annual CRITIC weighting results using the Criteria Importance Through Intercriteria Correlation method, applied across all five normalization schemes. Provides contrast-intensity and correlation-based indicator weights at three hierarchical levels for each year. 4. Annual_Integrated_E_C_Weightings.xlsx Integrated Entropy-CRITIC weighting results combining 5 Entropy normalization schemes with 5 CRITIC normalization schemes, yielding 25 hybrid weighting combinations (E-N1_C-N1 through E-N5_C-N5). Includes Coefficient of Variation (CV) tests for weight stability validation across methods and years, supporting robustness assessment of the integrated approach. 5. TOPSIS_Results.xlsx Complete multi-criteria evaluation outputs , including two-level evaluation rankings, performance clustering, periodic (long-term) performance indices, rank stability and temporal dynamics analyses (2015–2024) across four dimensions (ET, EE, HSCV, APS), and inter-dimensional correlation analysis. Data Scope: 38 OECD countries | 9 SDG indicators (I1–I9) | 3 domains (Energy Transition, Environmental Exposure, Health System Capacity & Population Vulnerability) | 10 years (2015–2024) Methodological Coverage: Decision matrix construction, five normalization techniques, Entropy and CRITIC objective weighting, 25 integrated hybrid weighting schemes, CV stability testing, two-level TOPSIS evaluation, rank clustering, temporal stability analysis, and inter-dimensional correlation analysis.

• Zenodo https://zenodo.org/records/20646829first seen 2026-06-12 04:17:23 · last seen 2026-06-15 04:14:02