Provincial-level SPE, SSE, GRE, and CES indicators for multi-level carbon responsibility analysis in China's power sector (2012–2017)

This dataset provides aggregated provincial-level results derived from a carbon-extended multi-level dynamic input–output shift–share (MDIOSS) framework for China’s power sector. The data are constructed based on multi-regional input–output (MRIO) tables for the benchmark years 2012, 2015, and 2017.The dataset includes key decomposition indicators, namely the structural production effect (SPE), sectoral shift effect (SSE), growth rate effect (GRE), and structural change effect (CES), calculated for each province. In addition, it provides derived ranking patterns (e.g., W>R>PW > R > PW>R>P) that characterize the relative dominance of transmission effects across the provincial, regional, and national levels, as well as pairwise differences between hierarchical components.These data support the analysis of spatial carbon responsibility allocation under production-based and consumption-based accounting perspectives, and enable the identification of multi-level transmission mechanisms and structural constraints in carbon emission dynamics.The dataset contains only aggregated and derived results and does not include the original MRIO data due to licensing restrictions. It is intended to facilitate transparency, reproducibility, and further research on spatial carbon emissions and energy system transitions.