Policy and temperature associations with gas-specific G7 transport emissions: Temporal predictability and geographic transportability

This repository contains the processed datasets, metadata, analysis code, and replication materials for the study “Policy and temperature associations with gas-specific G7 transport emissions: Temporal predictability and geographic transportability.” The study examines annual transport-sector CO₂, CH₄, and N₂O emissions across Canada, France, Germany, Italy, Japan, the United Kingdom, and the United States. The replication package includes the complete climate–emissions panel for 2002–2024 and the balanced Environmental Policy Stringency (EPS) analysis panel for 2002–2020, together with variable definitions and data-source documentation. It also contains scripts for two-way fixed-effects estimation, small-cluster wild-bootstrap inference, robustness and temporal-falsification analyses, distributed-lag models, panel-adjusted quantile-on-quantile regression, population-weighted climate sensitivity, leakage-safe machine-learning validation, cross-fitted SHAP attribution, spatial summaries, and mechanism-consistency analyses. Model settings, random seeds, software dependencies, and instructions for reproducing the principal tables and figures are provided. Raw source data remain available from their original repositories, including the World Development Indicators, OECD Environmental Policy Stringency database, Copernicus ERA5, and GPWv4.

Authors

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-08-27
DOI
https://doi.org/10.5281/zenodo.22126619
Primary Topic
Atmospheric and Environmental Gas Dynamics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Policy and temperature associations with gas-specific G7 transport emissions: Temporal predictability and geographic transportability

George Darko, Ishmeal Quist, Augustine O.K.N. Mensah, Joseph Fuseini et al.
Zenodo (CERN European Organization for Nuclear Research)
Atmospheric and Environmental Gas Dynamics
article

Policy and temperature associations with gas-specific G7 transport emissions: Temporal predictability and geographic transportability

George Darko, Ishmeal Quist, Augustine O.K.N. Mensah, Joseph Fuseini, Liang Li, Zhao Qun, Long Xingle
article en

Abstract

This repository contains the processed datasets, metadata, analysis code, and replication materials for the study “Policy and temperature associations with gas-specific G7 transport emissions: Temporal predictability and geographic transportability.” The study examines annual transport-sector CO₂, CH₄, and N₂O emissions across Canada, France, Germany, Italy, Japan, the United Kingdom, and the United States. The replication package includes the complete climate–emissions panel for 2002–2024 and the balanced Environmental Policy Stringency (EPS) analysis panel for 2002–2020, together with variable definitions and data-source documentation. It also contains scripts for two-way fixed-effects estimation, small-cluster wild-bootstrap inference, robustness and temporal-falsification analyses, distributed-lag models, panel-adjusted quantile-on-quantile regression, population-weighted climate sensitivity, leakage-safe machine-learning validation, cross-fitted SHAP attribution, spatial summaries, and mechanism-consistency analyses. Model settings, random seeds, software dependencies, and instructions for reproducing the principal tables and figures are provided. Raw source data remain available from their original repositories, including the World Development Indicators, OECD Environmental Policy Stringency database, Copernicus ERA5, and GPWv4.

Zenodo (CERN European Organization for Nuclear Research)
Jiangsu University (CN), Nanjing University of Information Science and Technology (CN), Nanjing University of Science and Technology (CN)
Climate action
Openalex Percentile: Top 12%
Atmospheric and Environmental Gas Dynamics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.