Replication package for Container shipping disruptions and the economics of decarbonization

This is the complete replication package for the paper "Container shipping disruptions and the economics of decarbonization" (Hugo Morão, 2026). It contains all MATLAB code, input data, intermediate estimation output, and final figures needed to reproduce every result in the paper (Figures 1–32). The study estimates a suite of Bayesian vector autoregressions (BVARs) to trace how container-shipping disruptions propagate to global macroeconomic variables and to climate-finance and decarbonization outcomes. The package is self-contained: it bundles the required third-party toolboxes (BEAR 5.2.2, the Empirical Macro Toolbox BVAR_, and export_fig) and provides cached posterior draws so all figures can be rebuilt in minutes, or re-estimated from scratch. A single driver script (main_replication.m) runs the whole workflow. See README.pdf for full instructions and a figure-by-figure map to the code and data. Licensed under CC BY 4.0.