Resource and emission savings from material efficiency strategies for passenger vehicles in China's provinces

To quantify the resource and emission savings potential of material efficiency (ME) strategies for the passenger vehicle sector in China's provinces, we updated the RECC v2.5 dataset with China-specific data. The RECC database includes 122 parameters across multiple levels: function (passenger-kilometers), product stock operation (vehicle-kilometers), product stocks (passenger vehicles), materials (e.g., automotive steel), energy (e.g., electricity), as well as process and direct GHG emissions. These parameters combine province-specific and generic values, enabling comprehensive and accurate modeling of ME strategies and their associated benefits across Chinese provinces. For details about the RECC model, see DOI https://doi.org/10.6094/UNIFR/242061, and the RECC model landing page: https://www.industrialecology.uni-freiburg.de/odym-recc The following data are included in this dataset: The entire model input database The master classification file RECC_Classifications_Master_V2.0.xlsx The model config file RECC_Config.xlsx The list of scenario configurations RECC_ModelConfig_List.xlsx The result compilation and exporting configuration file RECCv2.5_EXPORT_Combine_Select.xlsx The main result summary file The model itself is available as Python code from https://github.com/IndEcol/RECC-ODYM