A Validated Multidimensional Framework for Benchmarking Carbon Vulnerability across 56 Higher Education Institutions from 2007 to 2024

This deposit contains the complete dataset and analysis code supporting the manuscript: A Validated Multidimensional Framework for Benchmarking Carbon Vulnerability across 56 Higher Education Institutions from 2007 to 2024 Submitted to: Discover Sustainability (Springer Nature) Authors: Kaze Pascale Blanche, Lombo Baluma Didier, Minghui Guo, Northeast Forestry University, Harbin, China Contents: CTEP_Complete_Dataset_56HEIs.xlsx Harmonised dataset of 56 HEIs from 28 countries with all raw variables, computed diagnostic indices (Index A, B, C), composite vulnerability scores (V), sensitivity scenarios, and data dictionary CTEP_complete_analysis.py Complete reproducible Python analysis pipeline generating all statistics and figures reported in the manuscript Key variables: Scope 1/2/3 emissions, per-capita CO2e, HDI, grid carbon intensity, Herfindahl-Hirschman indices, composite vulnerability score V (OECD composite indicator methodology, AHP-validated weights) Software requirements: Python 3.11+, pandas, numpy, scipy, matplotlib, seaborn, openpyxl All analyses are reproducible by running: python CTEP_complete_analysis.py