Data and computational materials for an auditable assessment of China's emerging energy technology portfolios to 2035
Description
This dataset provides the data and computational materials supporting the study “Prioritizing emerging energy technology portfolios for China to 2035: An auditable ranking and tiered policy framework”. It contains the assessment matrix for seven emerging energy technology tracks and eight indicators, evidence-to-score documentation, indicator definitions, CRITIC-TOPSIS calculations, robustness and sensitivity analyses, threshold-technology assessment data, and computational code for reproducing the reported analyses. The materials support verification of the baseline ranking, local perturbation tests, joint stress tests, alternative weighting and ranking specifications, candidate-set tests, component-share sensitivity, and technology-class sensitivity analyses. The dataset is intended to improve transparency, reproducibility, and traceability of the policy assessment.
Files
Steps to reproduce
Download and extract the dataset archive. Python 3.12 was used for the archived calculations. Install the required package versions by running python -m pip install -r requirements.txt. Then run python reproduce_analysis.py --outdir reproduced_results. The script reproduces the baseline CRITIC–TOPSIS calculation, CRITIC intermediate quantities, 105 local perturbations, two 10,000-scenario joint stress tests, six alternative weighting-ranking specifications, leave-one-track-out analyses, threshold-technology class stability, 125 component-share specifications, and nine class cut-point specifications. The default joint stress-test settings use fixed random seeds 2035 and 2036. Reproduced outputs are written to the specified output directory.
Institutions
- Xi'an University of Architecture and TechnologyShaanxi, Xi'an
Categories
Funders
- Shaanxi Province Postdoctoral Research ProjectGrant ID: 019/1608725012
- Natural Science Basic Research Program of Shaanxi ProvinceGrant ID: 2025JC-YBQN-738