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 241–260 of 4132 papers
P. Bryant, J. Hondros
This article reviews environmental radiological impacts across the nuclear fuel cycle, from mining to decommissioning and waste management. It argues that over-application of the ALARA principle leads to resource misallocation and distorted…
T. Saji, George Paul, M. Nagalingam
Using US data from 1990-2023 and a NARDL model, this study reveals asymmetric impacts on renewable energy consumption. Positive energy innovation shocks boost consumption, but negative shocks have nearly twice the adverse effect. Green fina…
Xiaoxiao Tan, Xiangyang Xu, Hao Liu
This study forecasts demand for lithium, cobalt, nickel, and manganese for China's new energy batteries from 2010 to 2060 using dynamic material flow analysis and scenario analysis. Demand is projected to rise significantly by 2060, with li…
Jingyan Yang, Shangheng Yao, Chaojun Li +4
A spatiotemporal life cycle assessment quantifies wind power's carbon mitigation benefits. Historical net mitigation reached 3,690 Mt CO2e (2014-2023), with emissions at 8.5% of direct displacement benefits. Climate-priority deployment coul…
Xuelong Zhang, Xiaoling He, Mei Li +3
Using panel data of Chinese listed energy firms (2010-2023), this study shows AI adoption significantly reduces carbon emission intensity. Executive digital background strengthens the effect, and low-carbon city pilots provide complementary…
Yizhi Guan
This study compares ESG disclosure quality between 10 traditional energy and 34 new energy companies using content analysis. New energy firms adopt more frameworks, achieve higher MSCI ratings, and include Scope 3 in net-zero commitments mo…
YunWei Shen
Using panel data of Chinese A-share listed firms from 2011 to 2023, this study finds that ESG disclosure significantly reduces stock price synchronicity, with stronger effects in non-manufacturing and state-owned enterprises. Environmental …
Ángela García‐Alaminos, Jorge Zafrilla, Marina Sánchez-Serrano +3
This chapter addresses the lack of standardized methods for Scope 3 emissions calculation by introducing a tiered hybrid model. Using a real case study of an academic event, it provides a structured approach for companies and consultants to…
Katarzyna Chojnacka, Dawid Skrzypczak
This paper conducts a sustainability assessment of biogas production using carbon footprint (CFP) and life cycle assessment (LCA). It quantifies environmental burdens from feedstock to energy conversion, examining greenhouse gas reduction p…
Chen Zhou, Yingjun Ruan, Hua Meng +2
This study develops a probabilistic carbon-aware optimization framework for residential 24/7 carbon-free electricity under uncertain load, PV, and grid carbon intensity. Using KDE-Copula scenarios and ARMA residuals, a two-stage MILP jointl…
Vanessa Weiss, Lydia Maria Lienhart, Rebekka Thieringer +1
This two-pager summarizes key takeaways from an Invest4Nature webinar on making Nature-based Solutions (NbS) finance-relevant. Representatives from insurance, banking, asset management, and corporate finance discussed private investment, Nb…
Zhiping Cheng, Hao Fu, Zhongwen Li +2
This paper proposes a low-carbon economic dispatch model for integrated energy systems, incorporating multi-time-scale energy storage and refined hydrogen utilization. It optimizes hydrogen production, storage, and use to balance renewable …
Jacob Kwakye
This critical review examines the concept of 'decarbonized oil' used by oil and gas actors to reconcile production with net-zero goals. It argues that technologies like methane abatement and CCS reduce only operational emissions, not full l…
Saad Khan, Ahmed A. Aboushady, Firdous Nazir +1
This study proposes a privacy-preserving framework to detect, classify, and localize unregistered behind-the-meter low-carbon technologies (PV, EVs, heat pumps) in low-voltage networks. Using GDPR-compliant measurements, it combines LSTM au…
Aurélien Saussay, Misato Sato, Francesco Vona
Using U.S. online job vacancy data, this paper develops a skill-based NLP method to identify low-carbon jobs within occupations. Low-carbon job creation is prevalent in low-skilled occupations but requires more complex skills, yielding a mo…
Haider Mahmood, Khaled Malfi Alharbi, Amber Pervaiz +1
This study jointly examines the effects of geopolitical risk (GPR), renewable energy investment (IRE), and green finance on carbon neutrality. Findings show GPR significantly increases CO2 emissions, while IRE and green finance effectively …
Issam Benhayoun
This study analyzes factors determining ISSB adoption intention among 335 Moroccan accounting professionals. It demonstrates that institutional pressures influence adoption intention only through perceived usefulness and ease of use. Using …
Kishore Kumar, Susela Devi Suppiah, Preeti Bhaskar +1
This paper examines policy architectures for governing AI to facilitate circular economy transitions, focusing on challenges and opportunities in emerging economies. It discusses how AI technologies can support circular economy principles a…
Amirmahdi Habibi, Zahra Adel Barkhordar
This study assesses how material constraints affect renewable energy system performance and resilience during low-carbon transitions. A bottom-up energy system model simulates pathways from 2026 to 2050, linking technology deployment to mat…
Bhuvaneshwar Doorgakant, Tulsi Pawan Fowdur
This chapter provides a comprehensive overview and derivation of power consumption modeling for 6G networks, covering terrestrial and non-terrestrial segments. It proposes analytical frameworks with mathematical formulations and empirical r…
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