Trade flows and carbon emissions: can we achieve climate targets?

Date

2023-07-05

Supervisor/s

Journal Title

Journal ISSN

Volume Title

Publisher

Emerald

Department

Type

Conference paper

ISSN

Format

Citation

Moghtader B, Ulengin F, Gundes EH, et al., (2023) Trade flows and carbon emissions: can we achieve climate targets? In: 30th EurOMA Conference, 3-5 July 2023, Leuven, Belgium

Abstract

Policymakers have been calling for actions to meet the UN targets to reduce emissions to 1990 levels. Aligned with the aim of this study, we use a range of machine learning methods to predict the carbon emissions of 30 countries and establish those that are on track to achieve the UN targets. We provide a breakdown of the forecasted freight modal emissions of 23 countries using trade flows. We segment them using K-Means clustering to compare their CO2 emanations. Our findings indicate that only three countries are in line with the mentioned targets. Thus, we propose actions for those that are not.

Description

Software Description

Software Language

Github

Keywords

trade flows, carbon emissions, prediction

DOI

Rights

Attribution-NonCommercial 4.0 International

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