This page provides an English interface to the gxceed GX paper corpus. The corpus aggregates papers from 13 open scholarly metadata sources and uses AI-assisted classification to identify signals related to measurement, policy narratives, outcomes, implementation, industrial adoption, and verification.
The goal is not only to discover papers, but to observe how GX research is distributed across research substance, implementation narratives, external expectations, implementation substance, and judgment formation.
Summaries are AI-assisted. Always refer to the original paper for authoritative conclusions.
Showing 1441–1460 of 1617 papers
Maya Dasgupta
This paper comprehensively evaluates the role of green finance in mitigating climate-related financial risks (physical and transition) and fostering financial stability. It examines instruments like green bonds and loans, highlighting chall…
Xiaoqing Li, Jingjing Deng
Using panel data from 2008-2023 on Chinese A-share listed firms, this study demonstrates that green finance significantly enhances firms' synergistic performance in pollution and carbon abatement. The effect operates through resource reallo…
Fauzan Anditya Hafids, Mas Agus Mardyanto, Adhi Yuniarto +2
This study evaluates GHG emission reduction at PT X, an Indonesian medical device manufacturer, using SBTi near-term targets. It inventories Scope 1-3 emissions, compares actual vs. BAU, and applies MACC and AHP to prioritize mitigation str…
Cristiana Tudor, Aura Girlovan, Robert Sova +2
This paper analyzes how emissions trading systems (ETS) transmit macroeconomic shocks using monthly data from seven jurisdictions. Using PVAR-CCE and XGBoost, it finds that ETS returns have spillover effects on unemployment and inflation, w…
Maciejowski, Jan, Leonelli, Manuele
This paper uses Bayesian networks to analyze drivers of EUA futures prices under the EU ETS, covering 2013-2025. Energy commodities (coal, oil) are the most influential, while stock market sentiment affects prices indirectly. The dynamic mo…
Ana Beatriz Leite, Teresa Ponce De Leão
This paper analyzes the EU Carbon Border Adjustment Mechanism (CBAM) as a carbon pricing policy for imports to prevent carbon leakage and ensure fair competition. It examines integration with the EU ETS, MRV systems, and a steel sector case…
Do Phu Hai
This study empirically evaluates the EU's CBAM and ETS linkage using gravity models and CGE simulations for six developing-country exporters. It finds carbon-intensive exports decline by 9–21% and EU welfare losses nearly double compared to…
Zhipeng Han, Liguo Wang
This study combines partial equilibrium modeling with empirical analysis to show that emissions trading systems (ETS) significantly promote green transformation of industrial enterprises by incentivizing low-carbon innovation and alleviatin…
C. José García, Begoña Herrero, Francisco Morillas‐Jurado
This study examines the impact of carbon prices under the EU Emissions Trading System (EU-ETS) on firm-level GHG emissions and environmental innovation. Findings show carbon prices have a negative relationship with corporate CO2 emissions a…
Dai, C, Pollitt, MG
This study uses triangulated institutional analysis (policy archaeology, cognitive mapping, quantitative validation) of 346 documents and 22 expert interviews to examine the integration of China's national carbon market (CN-ETS) with local …
Lai Nam Tuan
This study analyzes the effectiveness of Emission Trading Systems (ETS) in reducing CO2 emissions across 11 Asian countries using a high-dimensional fixed effects regression. Results show that ETS effectiveness is highly contingent on count…
Wang, Baixue, Quan, Yifei, Duan, Maosheng
This study provides the first comprehensive ex-post evaluation of China's national ETS after three compliance periods, based on a nationwide survey. It examines allowance allocation, trading behavior, emissions accounting, and reduction act…
Kohlscheen, Emanuel, Moessner, Richhild, Takats, Elod
Using dynamic panel regressions on 121 countries, this study finds that higher carbon taxes and ETS prices significantly reduce CO2 emissions. A $10/ton increase in carbon tax reduces per capita emissions by 1.3% in the short run and 4.6% i…
(著者不明)
This paper analyzes the theoretical foundations and core content of IFRS S1 (General Requirements) and S2 (Climate-related Disclosures), examining the paradigm shift in global sustainability reporting. It evaluates opportunities and challen…
Jayanthi Kumarasiri, Leanne Morrison, Laura Maran
This study examines how Australian companies prepared for voluntary climate-related risk reporting under the TCFD framework, focusing on the role of management accountants. Interviews with 18 senior managers reveal that companies faced inte…
Shiwen Zhuang, Yeqi Huang, Annie Hill +1
To support the Scotch whisky industry's net-zero target, a user-friendly carbon footprint calculator for single malt whisky production was developed. It covers distillery, maturation warehouse, and bottling hall, accounting for Scope 1, 2, …
José Antônio Puppim de Oliveira, Peter Wanke, Jorge Antunes +1
This study proposes a Two-Dimensional Fuzzy-Monte Carlo (2DFMC) framework to address uncertainty and vagueness in Scope 3 emissions data. By integrating Monte Carlo simulations with Type-2 Fuzzy Sets and testing on Brazilian GHG Protocol da…
Tianyi Ren
This paper examines how AI-powered carbon footprint tracking can reshape green investment decision-making by delivering near-real-time, high-resolution estimates of Scope 1-3 emissions, especially Scope 3. It synthesizes methods combining N…
Manjeevan Seera, Ravichandran K. Subramaniam, Shyamala Dhoraisingam Samuel
This study uses machine learning to analyze how collaboration with government agencies affects ESG performance and carbon penalties among Fortune 500 firms. It finds that Scope 3 emissions dominate carbon footprints and that active governme…
Shreyan N
Salesforce Net Zero Cloud is a cloud-based carbon accounting and ESG reporting platform that tracks Scope 1, 2, and 3 emissions, generates audit-ready reports aligned with GHG Protocol, CDP, SASB, CSRD, and TCFD, and uses AI for forecasting…
Browse by Topic