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 14101–14120 of 19140 papers
Andersson F. .
This study examines how Swedish firms and financial institutions integrate climate change and biodiversity into their business strategies and governance structures, moving beyond mere reporting. It identifies key practices and challenges, o…
Gurol B.
This study analyzes the impact of women board members on ESG disclosure, specifically environmental and social dimensions, in the European banking sector. Findings suggest that increasing women board representation may enhance ESG disclosur…
Susanti B.A.
This study assesses the impact of ESG disclosures on financial performance in Taiwan's semiconductor sector from 2020 to 2022. It likely examines the relationship between ESG disclosure scores and financial metrics such as ROA.
Yung-Shuen Shen, Guan-Ting Huang, Lance Hongwei Huang +3
This study integrates well-to-wheel LCA with system dynamics to compare BEVs and hydrogen FCEVs under Taiwan's 2050 net-zero pathway. Results show limited health impacts but significant emission reductions; green hydrogen FCEVs could achiev…
Rauf F.
This study examines how AI adoption improves corporate ESG disclosure quality, analyzing the moderating role of institutional quality. Empirical findings show that AI enhances transparency and comprehensiveness, with strong institutional fr…
Anggit Raksajati, Sanggono Adisasmito, Veri Hendrayawan
This study evaluates retrofitting CCS in Indonesian coal-fired power plants. For a 3x330 MW plant, LCoE rises to 124 USD/MWh. CCS becomes viable with a carbon tax of 76 USD/tCO2 or carbon market revenue of 75 USD/tCO2. Mid-aged plants are m…
Wang L.L.
This paper examines how ESG disclosure regulations propagate through bank lending networks, affecting lending decisions and systemic risk. It provides empirical evidence on transmission channels, highlighting implications for sustainable fi…
Ni M.
This paper empirically analyzes how ESG disclosure requirements influence corporate human capital upgrading in China, suggesting that disclosure mandates can drive improvements in human resource management and employee skill development.
Guojian Li, Xueyu Tan, Yongbo He +1
This study develops a dynamic stock-energy-carbon framework for urban residential buildings in southern China's hot-summer warm-winter region (Guangdong, Guangxi, Fujian, Hainan) from 2010 to 2060. Using EnergyPlus simulations, it shows tha…
Temiz H.
This study examines the relationship between ESG disclosure and foreign ownership, and how information and governance environments moderate this relationship. It provides empirical evidence on the role of disclosure in attracting foreign in…
Chen K.
This study uses international data to analyze how mandatory ESG disclosure affects trade credit between firms. It provides empirical evidence that disclosure mandates alter supply chain credit behavior, highlighting the economic relevance o…
O’Born R.
This paper presents a life cycle assessment (LCA) of the Oslo fjord crossing road infrastructure project in Norway, quantifying energy demand and greenhouse gas emissions. The study provides insights into the environmental impacts of large-…
Kommalapati R.
This paper reviews life cycle greenhouse gas emissions of photovoltaic and concentrating solar power systems, comparing emission intensities across technologies and providing insights for scaling up solar energy deployment.
Ruiz Duarte J.L.
This paper analyzes how the operation of onsite renewables in data centers impacts greenhouse gas emission reductions. It proposes optimal operational strategies to balance efficient renewable energy use and emission reduction.
Maximin N.E.S.
This paper quantifies greenhouse gas emissions from the Figuil cement plant in Cameroon from 2016 to 2020 using a Genetic Algorithm-Gaussian coupling model, offering a novel approach for emission factor estimation in the cement industry.
Qian D.
This case study examines PepsiCo's carbon management strategies for achieving its net zero emissions pledge, likely covering specific reduction measures and measurement approaches.
De Faria F.A.M.
This study estimates greenhouse gas emissions from future Amazonian hydroelectric reservoirs. It projects emissions using modeling and assesses the climate impact of planned hydropower projects.
Anarbaev A.
This paper analyzes the impact of renewable energy technology adoption in Uzbekistan's agricultural sector on greenhouse gas emission reduction, demonstrating that renewable energy can enhance agricultural sustainability.
Gong H.
Evaluates the impact of different combinations of organic fertilizer and tillage management on greenhouse gas emissions. Suggests that organic fertilizer combined with no-till farming achieves the highest emission reduction.
Cai Z.
This study validates the DNDC model for predicting greenhouse gas emissions from East Asian cropping systems. Using field measurements, it assesses model accuracy and applicability, providing insights for region-specific emission factors.
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