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Data · dataset · 2026

Replication package for Container shipping disruptions and the economics of decarbonization

Listed in Teesside University Research Data Repository

This is the complete replication package for the paper "Container shipping disruptions and the economics of decarbonization" (Hugo Morão, 2026).

Description

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.

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Licensed under CC BY 4.0.

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Where it is published

Catalogue records · 1

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Inferred from text
Climate change science 70%
Provenance · 1 source records, 12 field assertions
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