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 9401–9420 of 33989 papers
Jie Chen, Xudong Yin, Tianbo Zhou +3
This review comprehensively covers multiscale structural engineering of smart textiles for personal thermal management. By integrating material properties to fabric topology, it enables dynamic control of heat transfer, reducing reliance on…
Huang Qunchao
This conceptual paper examines ethical tensions in renewable energy transitions, focusing on end-of-life material risks from PV, wind blades, and batteries. Drawing on Jonas, Rawls, and Gardiner, it argues for 'bounded acceleration' linking…
Xinping Hu, Jingfu Wang, Lijuan Jia +5
Global phosphogypsum (PG) stockpiles reach 7 billion tons with utilization below 15%. This review identifies impurity removal as the key bottleneck, evaluates current pretreatment and utilization pathways (construction, soil, CO2 fixation),…
Sobia Naseem
This study examines the asymmetric effects of ICT, renewable energy, FDI, and economic growth on CO2 emissions in G-20 countries from 2000 to 2022 using DOLS and PMG-ARDL. Findings show that FDI, growth, and ICT increase emissions, while re…
Boyuan Wang, Zhifeng Sun, Yongzhi Zhou +5
This study addresses the benefit divergence between overall system and PV utilization under high-proportion building PV, proposing a framework with carbon constraints and grid absorption costs. Using a Beijing retrofit office, it compares t…
Xingyu Zhang, Rameshwari Verma, Hou Bofang +3
This review systematically organizes recent advances in MXene-based electrocatalysts for the hydrogen evolution reaction (HER), explaining innovations in catalyst design and strategies for performance enhancement. It provides materials scie…
Wenting Yan, Yongxian Su, Shiqi Jin +12
Using high-resolution building data from 331 Chinese cities, this study reveals a critical building height threshold beyond which taller buildings cool rather than intensify urban heat islands, suggesting potential for UHI mitigation throug…
Zhangsen Dong, Xiao Li, Ruixin Xu +2
This study develops an integrated framework combining emission inventories, LEAP scenario modeling, and charging demand estimation for Zhengzhou's road transport. Under the dual carbon scenario, CO2 peaks in 2030 at 36 Mt, 20% below the exi…
Shuyang Wang, Lim Thye Goh, Santha Chenayah
Using data from 32 economies (2010-2023), this study shows that EV penetration (stock and sales) significantly reduces carbon emission intensity (CEI). Effects are stronger in high-income countries, while urbanization increases CEI. Finding…
Dalia Morsy Mohammed Hassan Rasheed
This paper examines how digital transformation (DX) investment intensity affects sustainable corporate value creation, mediated by internal control quality and integrated reporting quality. It aims to empirically demonstrate that DX investm…
Kjartan Sigurðsson
This chapter analyzes AI's transformative role in sustainability reporting, particularly ESG, arguing it represents institutional change rather than mere technological improvement. It examines how blockchain, generative AI, and real-time mo…
Kjartan Sigurðsson
This paper provides an overview of the evolution of sustainability reporting, tracing its historical development and current trends. It synthesizes major frameworks and standards without presenting new empirical data, aiming to give readers…
Patrycja Hąbek, Kjartan Sigurðsson, Małgorzata Radomska
This paper examines the impact of AI on sustainability reporting. It discusses how AI can automate ESG data collection, analysis, and disclosure, enhancing efficiency and accuracy. It also addresses challenges and regulatory implications of…
Dicky Yulvarizal
This study analyzes the impact of capital structure (DER), profitability, and liquidity on firm value (PBV) and the moderating role of ESG disclosure, using 33 companies listed on the Indonesia Stock Exchange's ESG Leaders Index (IDXESGL) f…
Aamir Ali, Joel Victor Dossa, Salome Reuben Charles +5
This paper empirically examines how ESG disclosure affects market liquidity during crises, focusing on the role of information asymmetry. It suggests that counter-cyclical ESG disclosure can enhance investor confidence and improve liquidity…
Archika Reiva Sayanda
This study examines the impact of ESG disclosure, independent audit committee, and financial performance on firm value (Tobin's Q) for basic materials firms listed on the Indonesia Stock Exchange. Using panel data regression, it finds that …
Zarak Khan, Dr. Muhammad Zahid, Shahida Wizarat
This study analyzes the impact of ESG disclosure on financial performance of Pakistani banks using panel data from 2017-2024 and 2SLS regression. Results show a positive and significant effect on ROA, ROE, and Tobin's Q, supporting Stakehol…
Dajiang Liu, Tao Yu, Huiying Xu
This paper proposes a GAT-LSTM hybrid model for dynamic carbon footprint accounting in prefabricated steel structure buildings, integrating spatio-temporal data to estimate emissions across the construction process. It overcomes limitations…
Thing-Yuan Chang, Chien-Chih Chen, Chin-Hsien Hsu +2
The food supply chain emits 13.7 billion tons of CO2e annually, yet accurate Product Carbon Footprint (PCF) estimation is inaccessible to many manufacturers. This study proposes a machine learning framework combining Gaussian Mixture Model …
Pablo González-Martínez, Irantzu Goenaga, Sara León-Ecay +4
This study compares the carbon footprint (CF) of yearling bulls finished on a diet including vegetable by-products (VBP) versus a conventional diet in Navarra, Spain. The VBP diet resulted in a significantly lower CF (42.01 vs 117.84 kg CO2…
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