Replication Data and Code for “Digital Export Expansion and Supply-Chain Decarbonization in China: Interprovincial Embodied Carbon Transfers and Structural Drivers”
Description
This dataset supports the article “Digital Export Expansion and Supply-Chain Decarbonization in China: Interprovincial Embodied Carbon Transfers and Structural Drivers.” It contains province- and sector-level estimates of domestic production-based Scope 1 CO₂ embodied in China’s international exports of digital-economy core industries for 2012–2016, 2019, and 2020. The dataset includes source-province-by-exporting-province carbon flows, provincial transfer balances, annual and sectoral summaries, a four-factor Dietzenbacher–Los structural decomposition, sector concordances, digital-sector splitting coefficients, validation reports, and Python analysis code. Data for 2017 and 2018 are excluded because sufficiently detailed industrial statistics are unavailable for constructing reliable splitting coefficients. Raw CEADs and EMIIOT source files are not included and should be obtained from their original providers subject to the applicable access conditions.
Files
Steps to reproduce
Python 3.10 or later is recommended. Install the required packages listed in requirements.txt. The raw CEADs provincial emission inventories and EMIIOT source tables are not included and must be obtained from their original providers. Configure the local input-data paths as described in README.md. If necessary, first run rebuild_emiiot_2019.py to reconstruct the 2019 split table. Then run build_emission_satellite_accounts.py, compute_digital_export_embodied_carbon.py, summarize_carbon_transfers_and_audit_2013.py, audit_2013_emiiot_export_structure.py, SDA.py, and prepare_paper_tables_and_figures.py in this order. Each script performs input and numerical validation before saving its outputs.