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 361–380 of 4285 papers
万杨, 邹报, 宋相海 +5
This review systematically organizes recent advances in photocatalytic, thermocatalytic, electrocatalytic, biocatalytic, and synergistic catalytic technologies for plastic waste upcycling. It compares reaction mechanisms, catalyst design st…
Chen Zhang, Rongrong Li, Qiang Wang
This paper examines how geopolitical risks affect the resilience of energy transition, and analyzes the moderating role of artificial intelligence. It suggests that AI technologies can contribute to enhancing the stability of energy systems…
Jianda Wang, Kun Wang, Senmiao Yang
This study distinguishes realized energy transition (RET) from energy transition capacity (ETC) and analyzes their effects on economy-wide employment using panel data from 78 countries. Both positively affect employment but through differen…
Sukhendu Dey, Megha Santra, Apurba Ratan Ghosh +1
This perspective provides an integrated framework linking circular economy principles and low-carbon process engineering for carbon-neutral chemical manufacturing. It evaluates alternative carbon sources (biomass, captured CO2), process int…
Abhishek Yadav, Anil Kumar, Rajeev Kumar Mishra
This review assesses CCUS technologies for decarbonizing the cement sector, which accounts for ~7% of global CO2 emissions. It compares amine scrubbing, oxy-fuel combustion, calcium looping, DAC, and LEILAC by TRL, reporting potential CO2 r…
Hunter Hughes
This monograph comprehensively assesses CCUS and DAC for residual emissions from cement, steel, and chemicals that electrification cannot abate. It evaluates capture technologies, costs ($25-40/t for high-purity streams to $350-650/t for DA…
Shujaat Abbas, Zahoor Ahmed
This study analyzes the impact of environmental management practices on competitive advantage in low-carbon technologies using panel data from 37 OECD countries (1995-2023). Employing instrumental variable quantile regression, it finds hete…
Chenyi Liu, Bingwen Wang, Yarui Li +4
This study develops low-carbon alkali-activated binders using industrial by-products red mud and fly ash. It analyzes hydration kinetics and gel evolution, and evaluates the carbon footprint, demonstrating potential as a sustainable alterna…
Baptiste Rigaux, Mark Vergouwen
DETeCT proposes a data-efficient method for classifying low-carbon technologies into multiple categories. It achieves high classification performance with limited data, aiming to automate technology classification. This can support corporat…
Jake Reynolds, Joe Gladstone
This paper uses a conjoint experiment (N=499, 21,000 choices) to test how reframing fund carbon emissions—via visual/numeric labels or verbal analogies to personal carbon footprints—affects sustainable investment. A 5-star visual eco-label …
Jialiang Sun, Guoqiang Gao, Junhao Liang +4
This study develops a day-ahead MILP model for an electricity-hydrogen-heat integrated energy system in a highway service area under a stepped carbon trading mechanism. Introducing waste-heat-rejection flexibility reduces operating cost by …
Xiaolong Lu, Hao Li, Yuelan Cheng +3
This study uses a structural quantitative trade model to analyze the impact of the EU CBAM on trade and welfare in developing countries. It finds significant negative effects on exports of steel, fertilizer, cement, and aluminum from BRICS …
Patrick Stuhm, Manuel Baumann, Marcel Weil
Using a representative German telephone survey (N=1155) and mixed methods, this study analyzes how trust in government and corporations affects renewable energy acceptance. Trust in government increases perceived benefits and reduces percei…
M Pattanaik, Jitendra Mahakud
This study examines the impact of board gender diversity (BGD) on renewable energy consumption using firm-level data from 18 G20 countries (2010-2022). Findings show BGD positively influences renewable energy consumption, with stronger effe…
Maren Ludwig, Stephen Jarvis
Using appliance ownership and hourly electricity demand data across many countries, this study estimates temperature effects on electricity demand globally. Combining with climate and development projections, it shows that air conditioning …
Olga Janikowska, Agnieszka Generowicz, Joanna Kulczycka
This paper conceptualizes cascading lock-ins in post-mining regions' energy transition, identifying how infrastructural, technological, institutional, and social constraints interact and reinforce each other across domains. Through literatu…
Heather Sutherland, Kevin Kim, Molly Ramsay +1
This study conducts a cradle-to-grave LCA comparing the Ford Transit ICEV and EV for UBC's campus fleet, using OpenLCA and Ecoinvent. Under low-carbon grid and short-distance driving, EVs reduce GHG emissions but increase other environmenta…
Gordon C. Rausser, Wadim Striełkowski, Lukáš Prokop
This paper proposes a reproducible framework for assessing Positive Energy Districts (PEDs), combining bibliometric and NLP analysis with a PyPSA-compatible linear capacity-expansion and dispatch model and a corrected cost-benefit analysis.…
Sara Ghaboulian Zare, Frédéric Babonneau, Olivier Bahn +4
This paper extends the ETEM model to assess hydrogen integration in metropolitan energy systems, applying it to Montréal. Under full carbon neutrality, hydrogen reaches ~7% of final energy by 2050, with production exceeding 33 PJ, but uptak…
Daichen Guo, Sanglin Zhao
This study empirically examines the impact of corporate digital transformation (DX) on carbon emissions and the mediating role of ESG performance, using Chinese A-share listed companies from 2010 to 2023. DX reduces carbon emissions by impr…
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