v1.0.0 — Code for "International Trade in Air-Quality-Related Mortality"

This release captures the exact version of the code used to produce all results in the manuscript "International (Fair) Trade in Air-Quality-Related Mortality."

It includes the full Python workflow for estimating production- and consumption-based PM₂.₅ concentrations, health impacts, and economic externalities associated with international trade, based on multi-regional input–output (MRIO) data (GTAP and EORA) and InMAP simulations.

Included components

1_Country_Emission: Prepare inputs and generate emission maps for InMAP.

2_Concentration_Factors: Derive consumption-based concentration fields.

3_Mortality: Estimate PM₂.₅-related mortality attributable to production and consumption.

4_Result_Interpretation: Analyze economic externalities and distributional inequalities.

5_Plot_generation: Generate all figures for the main text and supplementary.

6_Model_assessment: Perform model validation and uncertainty analysis.

Running this release will reproduce the analytical results and figures presented in the manuscript.