This page provides an English interface to the gxceed GX paper corpus. The corpus aggregates papers from 14 contributing 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 28561–28580 of 32159 papers
V. Metelytsia, Vladislav Valentinov, Taras Gagalyuk
This study examines 'hidden ESG' in Ukrainian agriculture, where firms implement substantive sustainability practices but remain weakly visible in formal disclosure due to institutional fragility and conflict. Based on 53 interviews, it fin…
Yiming Xian, Mingchao Xia, Jichen Wang +2
This paper studies coordinated operation and distributed optimization of highway hybrid refueling stations integrating hydrogen, carbon, and green certificate trading. An asymmetric Nash bargaining framework is used with ADMM for distribute…
Yanpei Cheng, Xiqiang Xia, Xiandi Zeng +1
This paper analyzes the impact of China's green consumption voucher (GCV) policy on carbon emission reduction in a remanufacturing outsourcing supply chain. It finds that while GCV policy boosts manufacturers' profits, overly generous subsi…
Asia Rahman Khan Lodhi, Humayoon Khan, Agha Qaleech Khan
This paper comparatively analyzes major ESG regulations including the EU CSRD, CSDDD, IFRS Sustainability Disclosure Standards, and California climate disclosure laws, arguing that ESG regulation is transitioning from voluntary to mandatory…
Oleksiy Melnyk, Svitlana Onyshchenko, Iryna Savelieva +2
This study compares low-carbon fuels (biofuels, methanol, ammonia, hydrogen) for coastal shipping, integrating life cycle parameters and marginal abatement costs in a model with scenarios to 2050. A hybrid gradual transition from early biof…
Rahmi Çetin
This systematic literature review synthesizes 32 peer-reviewed articles on CBAM's trade implications. While a minority view CBAM as necessary to prevent carbon leakage, the majority highlight risks of global welfare losses, trade disputes, …
Галина Уманців
This paper examines the transformation of ESG reporting for concessionaires (long-term infrastructure operators) from voluntary sustainability narratives to regulated, investor-oriented disclosure. It highlights the role of ESRS double mate…
Junran Liu, Yating Sun, Sitian Jin +4
This study analyzes the synergies and trade-offs of water-energy-carbon-land nexus in wastewater treatment plants, offering insights for optimizing energy use and carbon reduction.
Xuejing Wu, Xiangyu Wang, Shudi Zuo +2
This paper examines the trade-offs between carbon and water eco-efficiency in China's low-carbon urban transition using county-level data, revealing spatial inequalities. It suggests that optimization strategies need to be tailored to local…
Fatma Bennaceur, Ali Bendob, Anwar Hasan Abdullah Othman
This study uses AI, ML, and NLP to assess ESG disclosure quality among Islamic and conventional banks in the UAE (2021-2024). Conventional banks score higher on climate risk and compliance, while Islamic banks show consistency and emphasis …
Bin Lv, Hongyan Gu, Kai Qiu
This study develops a multi-objective optimization model for construction mode configuration and an engineering-oriented genetic algorithm to balance duration, cost, and carbon emissions under feasibility constraints. Using real case data, …
Sukmawati Sukamulya, Veronica Tri Kusuma
This study examines liquidity and market microstructure of tokenized carbon assets (KLIMA, BCT, MCO2) in blockchain-based voluntary carbon markets, using mean-centered MMRM with HAC corrections and a regulation index as moderator. Results s…
Eda Oruç Erdoğan, Ozan Özdemir, M. Erdoğan
This study examines the first corporate disclosures aligned with IFRS S2 using NLP and text mining. Analyzing 2024 reports of 18 firms in Borsa Istanbul Sustainability 25 Index, it finds strong technical discipline and standard adherence bu…
Maaz Amin, Salman Wahab, Bilal Ahmed +3
This paper examines the relationship between trade-adjusted carbon emissions and renewable energy electricity output in N-11 economies using method of moment quantile regression. It accounts for emissions embodied in trade and evaluates the…
E. Dindar
This paper analyzes the first TSRS-aligned sustainability reports of eight agri-food firms listed on BIST in Turkey. Using GRI 13 and SDGs as frameworks, it finds strong climate-related disclosures but weak coverage of agro-ecological impac…
Quang Cảnh Trần
This paper introduces a quantum kernel support vector regression (QK-SVR) method for forecasting EU ETS carbon prices. It examines trading resilience during the 2020 crisis and the impact of dynamic Market Stability Reserve (MSR) reforms, d…
Shantanu Kumar, D. Rai
This paper examines how green accounting enhances the reliability of corporate sustainability reporting. It explores the quantification and reporting of environmental impacts like carbon emissions and resource use, and highlights challenges…
Tomy Rizky Izzalqurny, Tatas Ridho Nugroho, Adrian Hartanto Darma Sanputra +1
This systematic literature review examines sustainability reporting (SR) practices among technology companies in ASEAN, synthesizing 11 peer-reviewed articles from 2015-2025. Findings reveal fragmented and mostly voluntary SR adoption with …
Mirzakhalilova Damira, Musaleva Veranika
This study quantitatively assesses the potential financial burden of the EU CBAM on polyethylene exports from Uzbekistan to the EU, using 2020-2024 export data and scenario modeling. Results show additional costs up to €452k per shipment an…
Novita Dwi Anggraini, Toto Gunarto, Asih Murwiat
This study analyzes determinants of CO2 emissions in high-emitting G20 countries using panel data from 2004-2023. Fixed effects model shows trade openness, urban population, and manufacturing all positively and significantly increase emissi…
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