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 30401–30420 of 37257 papers
Kristina Rudžionienė, Diana Bachtijeva
This paper evaluates the quality of environmental and social disclosure among large Lithuanian firms from 2017-2024. Content analysis shows a rise in numerical information from 12% to over 70%, indicating that stricter regulation promotes q…
Suham Cahyono, Ardianto Ardianto, H. Djajadikerta
This study examines the relationship between ESG disclosure and accounting conservatism using a global sample of 13,398 firm-year observations. It finds that higher ESG disclosure is associated with lower conservatism, and investor trust in…
Supri Yanto, Putri Irmala Sari
This study examines how ESG disclosure and sales growth affect stock returns in Indonesia's non-financial firms, with firm size as a moderator. Results show both ESG disclosure and sales growth positively impact stock returns, and firm size…
Huixin Feng
This paper reviews the challenges ESG information disclosure poses to traditional audit models, including verification scope, evidence collection, and professional judgment. It proposes improvement paths aligned with regulatory trends like …
Dylan Hübner, A. Moghayedi, Kathy Michell
This study investigates how affordable housing in South Africa can transition to net-zero carbon. Using mixed methods including life cycle assessment, it finds that combining passive design with on-site PV can reduce lifecycle emissions by …
Nayana Jagadish Raikar, Prasasthi Sanjana Chekuri, R. Prathiksha +3
This paper proposes ClimateAuditX, a heterogeneous graph neural network framework for detecting carbon leakage and attributing Scope 3 emissions across supply chains. By modeling inter-firm transactions as a graph, it traces indirect emissi…
Junyi Tian, Guixian Tian
This study evaluates the impact of climate finance on renewable energy transitions in low- and middle-income countries (2002-2022) using MMQR and GMM methods. Results show that climate finance significantly promotes renewable energy adoptio…
Xingang Zhou, Cancheng Zeng, Ying Xu +2
This study proposes a model to predict land use changes and associated carbon emissions under multiple Shared Socioeconomic Pathway scenarios. Using Chinese data, it quantifies the impact of different development paths on carbon sinks and e…
Yuanyuan Hao, Yifei Jiang
Using Chinese data from 2000-2024, this study applies BMA and ARDL models to examine how climate policy uncertainty affects energy transition. It finds a strong short-term inhibitory effect, but also an indirect promoting effect through str…
Aurora Bertini, Muheeb Al-Obaidy, Maxime Dasse +3
This study proposes an integrated framework combining life cycle impact assessment (LCIA) and building performance simulation (BPS) to evaluate whole-life GHG emissions of renovation strategies. Using a Belgian house case study, six scenari…
Ning Yu, Lan Xia, Zhiyi Ran +1
This study conducts a life cycle carbon footprint analysis of power batteries, incorporating changes in the electricity mix over time. It assesses carbon emissions across the battery's life cycle, from manufacturing to disposal, and evaluat…
Shengman Zhang, Chen Cai, Gao B +6
This review positions biochar as a critical 'bridge' between microbial and mineral carbon pumps for synergistic soil carbon sequestration. Biochar not only provides recalcitrant carbon but also enhances microbial habitats and forms stable o…
Han Fu, Zhe Zhao, Genji Yao +3
This review provides a comprehensive framework for solar-driven microbe-nanomaterial hybrids (MNHs) for CO2 conversion, covering the biotic-abiotic interface, photocatalytic materials, microbial engineering, and reactor design. It identifie…
D Trigaux, L Mouton, E Van de moortel +1
This study assesses the environmental impact of bio-based construction materials in Belgium using LCA. Comparing with conventional materials, it finds that bio-based materials can reduce climate change impacts but may increase other impacts…
Muya Cai, Hongya Wang, Fengyin Zhou +9
This paper discusses the potential of electrochemical metallurgy powered by renewable energy for metal extraction, reducing CO2 emissions while enabling energy storage. It highlights the growing demand for bulk materials like Fe, Al, Zn, an…
Yishuang Liu, Xiujie Tan
Using matched supplier-customer data for Chinese A-share manufacturing firms (2009-2021), this study examines whether corporate ESG performance promotes green innovation within firms and across supply chains. It finds that downstream ESG pe…
Zhengfei Zhang, Mengru Ma, Yimin Xiao
This paper explores solutions for transitioning rural energy structures in plateau mountainous climate regions through field surveys. It identifies region-specific challenges and opportunities, offering insights for sustainable energy trans…
Jarmo Kikstra, Zebedee Nicholls, Annika Högner +27
This pre-release provides harmonized and infilled emissions data for CMIP7 marker scenarios, developed by seven IAM teams. It includes climate outcomes from the MAGICC emulator. The data supports integrated research on climate system conseq…
Baoquan Li, Wang Yang, An Shi +5
This study proposes a dual-use underground logistics system (DULS) framework combining robust layout optimization with simulation. Using a Wasserstein-based distributionally robust optimization and AnyLogic discrete-event simulation, the ca…
Dong Guo, Wei Yet Tan
This study uses structural equation modeling to examine how five sustainable supply chain practices (green procurement, production, logistics, collaboration, and information sharing) affect perceived low-carbon development efficiency in man…
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