A lifecycle-integrated GHG management framework: Long-term allocation mechanism to prevent abatement misreporting

While emission trading schemes (ETSs) have contributed to greenhouse gas (GHG) emission abatement achievement in some countries, current free allocation systems still contain baseline problems caused by measuring differences between baseline settings and actual emissions. Notably, existing grandparenting and benchmarking methodologies for the baseline setting would induce market participants to inflate their project baselines to overestimate emission reduction allowances. To mitigate overreporting risks above, this study introduces a GHG allocation model (GMD) applying the Macaulay duration (MD) financial concept. It addresses to incentivize honest GHG disclosure and promote carbon neutrality approaches, by avoiding limitations of traditional baseline setting. Suggested GMD model focuses on the GHG emission lifecycle similar to issuance and redemption of bonds. Mathematical derivation of the model is designed gradual emission reductions throughout project lifecycles. And honest disclosure of actual emissions represents the optimal strategy for agents. This model has two key novelties compared with other mechanisms: preventing baseline overestimation and ensuring continuous progress toward carbon neutrality. And additional simulation using initial realistic emission data shows how GMD model induces accurate emission reporting while naturally decreasing allowances over time. The simulation suggest that GMD model is more effective to avoid misreporting while maintaining flexibility by each project characteristic. Furthermore, policymakers can adjust project GHG emissions by setting simple GMD values according to operational periods. This presents a pathway enabling economic subjects to establish emission plans autonomously while achieving long-term abatement. GMD framework and modeling provides lifecycle-integrated GHG management for accurate report and net zero action. • GHG management of long-term projects need ensuring equity of abatement performances. • An allocation methodology need preventing strategic misreports to expend quotas. • It develops GMD to advance baseline-setting issues using Macaulay Duration model. • GMD allows to mitigate oversupply of allowances and incentivize proactive abatement. • GMD enables autonomous allocation and honest baseline declaration within policy-goal.

Authors

Institutions

Publication Details

Journal
Environmental Impact Assessment Review
Published
2026-01-21
DOI
https://doi.org/10.1016/j.eiar.2026.108354
Primary Topic
Climate Change Policy and Economics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A lifecycle-integrated GHG management framework: Long-term allocation mechanism to prevent abatement misreporting

Hyungsu Kang, Sumin Jeon, Hyunmin Daniel Zoh
Environmental Impact Assessment Review
Climate Change Policy and Economics
article

A lifecycle-integrated GHG management framework: Long-term allocation mechanism to prevent abatement misreporting

Hyungsu Kang, Sumin Jeon, Hyunmin Daniel Zoh
article en

Abstract

While emission trading schemes (ETSs) have contributed to greenhouse gas (GHG) emission abatement achievement in some countries, current free allocation systems still contain baseline problems caused by measuring differences between baseline settings and actual emissions. Notably, existing grandparenting and benchmarking methodologies for the baseline setting would induce market participants to inflate their project baselines to overestimate emission reduction allowances. To mitigate overreporting risks above, this study introduces a GHG allocation model (GMD) applying the Macaulay duration (MD) financial concept. It addresses to incentivize honest GHG disclosure and promote carbon neutrality approaches, by avoiding limitations of traditional baseline setting. Suggested GMD model focuses on the GHG emission lifecycle similar to issuance and redemption of bonds. Mathematical derivation of the model is designed gradual emission reductions throughout project lifecycles. And honest disclosure of actual emissions represents the optimal strategy for agents. This model has two key novelties compared with other mechanisms: preventing baseline overestimation and ensuring continuous progress toward carbon neutrality. And additional simulation using initial realistic emission data shows how GMD model induces accurate emission reporting while naturally decreasing allowances over time. The simulation suggest that GMD model is more effective to avoid misreporting while maintaining flexibility by each project characteristic. Furthermore, policymakers can adjust project GHG emissions by setting simple GMD values according to operational periods. This presents a pathway enabling economic subjects to establish emission plans autonomously while achieving long-term abatement. GMD framework and modeling provides lifecycle-integrated GHG management for accurate report and net zero action. • GHG management of long-term projects need ensuring equity of abatement performances. • An allocation methodology need preventing strategic misreports to expend quotas. • It develops GMD to advance baseline-setting issues using Macaulay Duration model. • GMD allows to mitigate oversupply of allowances and incentivize proactive abatement. • GMD enables autonomous allocation and honest baseline declaration within policy-goal.

Environmental Impact Assessment ReviewVol. 119
Urbana University (US), Yonsei University (KR), Korea Institute of Civil Engineering and Building Technology (KR), University of Illinois Chicago (US)
Responsible consumption and production
Openalex Percentile: Top 86%
Climate Change Policy and Economics
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.