Estimating undisclosed corporate greenhouse gas emissions using energy consumption data as privileged information
Authors:
- Haonan WenHWHaonan Wen
- Yingjie TianYingjie Tian
- Kun GuoKGKun Guo
- 11 December 2025
- journal article
- Published by Elsevier in International Review of Financial Analysis
- Vol. 110
Abstract
No abstract availableFunding Information
- Fundamental Research Funds for the Central Universities
- National Natural Science Foundation of China (12071458)
This publication has 18 references indexed in Scilit:
- Driving green development: The influence of green credit and informatization-industrialization integration on reducing corporate carbon emissionsInternational Review of Financial Analysis, 2025
- Adapting machine-learning estimators to account for the downward bias of reported greenhouse gas Scope 3 emissionsJournal of Cleaner Production, 2025
- Multi-step ahead prediction of carbon price movement using time-series privileged informationExpert Systems with Applications, 2024
- Coarse-grained privileged learning for classificationInformation Processing & Management, 2023
- Predicting corporate carbon footprints for climate finance risk analyses: A machine learning approachEnergy Economics, 2021
- The impact of renewable energy use on firm profitEnergy Economics, 2020
- Carbon accounting and the construction of competenceJournal of Cleaner Production, 2012
- The disclosure of industrial greenhouse gas emissions: a critical assessment of corporate sustainability reportsJournal of Cleaner Production, 2012
- A new learning paradigm: Learning using privileged informationNeural Networks, 2009
- Support-Vector NetworksMachine Learning, 1995