Instrument breadth, function span and design depth in coal-power transitions: processed data, code and reproducibility materials

作者：Alireza Daneshi, Hossein Azadi, Soraya Yaghobi, Imaneh Goli, Anwar Eziz, Frank Witlox · 发表于：Zenodo (CERN European Organization for Nuclear Research) · 年份：2026 · DOI：10.5281/zenodo.21768683 · 研究领域：Computer science、Data mining、Algorithm、Programming language、Engineering drawing、Information retrieval、Computer engineering、Software engineering

This record provides the processed data, executable code, locked numerical outputs and scientific figure source files accompanying the manuscript “Instrument breadth, function span and design depth in coal-power transitions”. The study distinguishes instrument breadth, function span and conditional design depth in electricity-policy portfolios and relates these constructs to later coal-electricity shares across 49 economies. The archive supports standalone processed-input-to-result reproduction. It contains a processed policy panel exposing all six primary instrument-score fields and function activations; a separate coal-model panel; five executable analysis and figure scripts; a one-command run-all workflow; exact tested software requirements; 2,000-draw country-block decomposition outputs; 4,999-draw restricted wild-cluster bootstrap-t inference; leave-one-country diagnostics; function-span construct validation; figure-source data; locked numerical outputs; and SHA-256 integrity manifests. The exact identity aggregate stringency = instrument breadth × conditional design depth is reproduced from the supplied processed inputs. Function span is treated as a separate construct-differentiation measure and is not included in the identity. Its coal-share estimates are statistically uncertain and approach zero after wider-policy adjustment. All reported associations are observational and are not interpreted as causal effects. The package requires no internet connection, Google Driv...