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 30141–30160 of 37257 papers
D. Leshchenko
This paper specifies the role of internal audit in ensuring reliability and transparency of sustainability reporting in aviation enterprises. It systematizes key ESG indicators (CO2, green fuel, noise) and proposes an internal audit matrix …
Ibham Veza, T. W. Riyadi, Sri Mumpuni Ngesti Rahaju +3
This study performs techno-economic optimization of PV-hydrogen systems in five Indonesian cities (Jakarta, Bandung, Surabaya, Medan, Makassar). Results show distinct geographical differences: Makassar and Surabaya achieve the lowest leveli…
V. Heggade
This paper proposes an ILCCA framework combining lifecycle economic cost and monetized carbon cost into a unified metric. A case study of two bridge alternatives shows that concrete has lower integrated cost, but higher carbon price narrows…
Junbo Wang, Zhenyu Ma, Xiayang Fan
This study quantitatively evaluates the welfare and carbon abatement effects of the EU Carbon Border Adjustment Mechanism (CBAM) using a multi-country general equilibrium model. It finds that CBAM improves welfare in the EU, Japan, South Ko…
Sebastian Steinmeier, Chantal Rietdorf, Michael Rentschler +1
This paper proposes a strategic framework for effectively managing Scope 3 emissions in industrial supply chains, focusing on procurement processes. It integrates emission reduction into supplier engagement and collaboration, providing prac…
Fang Yang, Sisi Zhang
This study investigates the nonlinear causal relationship between industrial robot imports and renewable energy transition in Belt and Road countries using a Panel Smooth Transition Regression (PSTR) model. It examines heterogeneity across …
Jiyou Yuan, Yun Wang
This study investigates how long-term nitrogen inputs affect soil microbial communities and carbon cycling in subtropical forests, finding reduced carbon emissions and enhanced soil carbon sequestration, offering insights for forest managem…
Qianhui Wu, Rongda Zhang, L Y Zhou +10
This paper proposes an integrated multi-technology mitigation decision framework to optimize China's coal power transition pathways. It explores how combining different technology options can balance costs and emission reductions, offering …
Xuntao Qiu, Yuanwen Lai, Jianzheng Lin +6
This study develops a multiobjective optimization model to determine the optimal urban passenger transport modal structure that minimizes carbon emissions while balancing costs for stakeholders. Using a life-cycle assessment, it shows fuel-…
Shuai Wang, Yanjun Chang
This study uses double machine learning to analyze the impact of China's new energy demonstration city policy on energy transition, finding that multi-stakeholder collaboration enhances policy effectiveness.
Seyedeh Azadeh Alavi-Borazjani, Dr Muhammad Noman Shafique, Shehar Yar Khan
This paper reviews the application of AI (machine learning, deep learning, reinforcement learning) to enhance CCUS processes including capture, utilization, and storage. It identifies benefits such as optimization, materials discovery, and …
Gulsanam Тursunova, Farrukh Atabaev, Gulrukh Begzhanova +4
This paper investigates the thermal activation of local margels from Karakalpakstan to enhance pozzolanic properties for low-carbon composite Portland cement. The study contributes to cement decarbonization by utilizing regional materials a…
Rui Feng
The advancement of global climate governance and China's 'dual carbon' strategy have highlighted the importance of corporate environmental social responsibility. In the context of a low-carbon economy, enterprises should foster low-carbon p…
Tatsuya Doi
This paper reviews research and development on applied magnetics technologies in energy conversion systems, discussing their potential to contribute to carbon neutrality. It highlights how high-efficiency motors and generators can reduce CO…
Haisai Wang
This paper provides early empirical evidence on how the EU Carbon Border Adjustment Mechanism (CBAM) affects trade margins and supplier selection. Using transaction data, it shows firms avoid high-carbon-cost suppliers, altering trade patte…
Emin Yıldız, Ahmet Ozan Gezerman
This paper examines the limitations of the Carbon Border Adjustment Mechanism (CBAM) and its impact on international trade in the fertilizer industry. It discusses the implications of carbon-based tariffs, the selection of high-emission sec…
Krishnashis Das, Subhrakamal Banerjee
This report analyzes Citigroup's FY2023 ESG performance using official reports and third-party ratings, with 26 data visualizations. Key findings include $441 billion in cumulative sustainable finance, 49% reduction in Scope 2 emissions (ex…
João Vyctor Brás dos Santos, Tiago F. A. C. Sigahi, Deoclécio Júnior Cardoso da Silva +4
This study evaluates the maturity of supplier-related environmental disclosures in sustainability reports of top ESG-performing Brazilian firms. Using CRITIC weighting and Grey Fixed Weight Clustering on 67 reports, it finds that nearly 60%…
Huajian Jiang
ESG-DocQA is a validated benchmark dataset for evidence-grounded question answering over corporate ESG reports. It includes 300 samples, annotation guidelines, and experimental results, focusing on document-image grounding. The dataset is a…
Huajian Jiang
We present ESG-DocQA, a benchmark dataset for evidence-grounded question answering over corporate ESG reports, with 300 validated samples annotated by three annotators, enabling document-image grounding.
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