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 701–720 of 6957 papers
Shunsuke Managi, Qiang Ji, Dayong Zhang +1
Matching an urban energy transition index with China Family Panel Studies data, this paper finds that energy transition raises residents' happiness. The effect works not through changed energy habits but through lower perceived wealth gaps …
Siyu Wang, Peipei Zhang, Yicheng Yang +7
A review of municipal wastewater reclamation assessing water quality, energy, resource recovery and GHG mitigation. It evaluates emerging configurations—membrane bioreactors with RO, algal–bacterial membranes, nutrient-retaining and non-RO …
Becky P.Y. Loo, Yiqing Liang
This study evaluates an electric cable car freight system (iLogistics) in Anyuan County, China, using transaction data from Dec 2020 to Jul 2023. The existing system reduced CO2, NOx, and PM2.5 emissions by ~8%, transport time by 18.09%, an…
Zehra Funda Akbulut, Soner Güler, Yassir M. Abbas +3
A critical review of traditional and emerging supplementary cementitious materials (SCMs) for decarbonizing concrete. It surveys how SCMs can cut cement-related CO2 and the barriers to their wider adoption.
Mehmet Hakan Morcalı
A critical review of current advances in nickel laterite processing. It examines the energy- and carbon-intensive nature of laterite refining amid rising EV battery demand, and outlines technological pathways toward low-carbon production an…
Kongqing Li, Jiacong Li
Using panel data from 282 Chinese cities (2008–2022), this study tests whether urban–rural industrial synergy raises carbon emission efficiency. Fixed-effects estimates show a positive association, with industrial structure upgrading and pa…
Canyang Huo, Ling Li, Wenhao Zhao
Using panel data from 30 Chinese provinces (2015–2024), this study applies dynamic fsQCA to examine how AI and multi-dimensional green factors jointly drive regional energy low-carbon transition (RECT). Grounded in dual-axis transition theo…
K. John
A co-optimization model of day-ahead arbitrage and reserve capacity (FCR, aFRR) for battery storage in Germany and Sweden, using official 2020–2025 market data. It evaluates project finance, stress scenarios and Monte Carlo simulation to as…
Rehab H. Mahmoud, Hassan M. M. Mustafa, Ilunga Alain Kamika +2
This review evaluates microalgae as a multifunctional microbial cell factory for renewable energy and climate mitigation, leveraging high lipid content and rapid growth. It assesses conversion pathways for biodiesel, bioethanol, biohydrogen…
Ömer Faruk Altunç, Sıddıka Öztekin
Using Turkish data from 1990–2023, this ARDL study examines how hydropower generation affects energy supply security. It finds hydropower reduces energy imports in the long run, enhancing security, while economic growth raises imports in th…
Gazi Polat
Using 2000–2023 World Bank data for MINT countries, this study applies Kernel Regularized Least Squares (a machine-learning method) to examine nonlinear links among renewable energy, carbon emissions, health expenditure, tourism, and growth…
Brunilde Verrier, Benjamin Kenneth Sovacool, William J. Grace +4
This conceptual paper applies Senge and Meadows' systems archetypes—such as policy resistance, growth and underinvestment, and tragedy of the commons—as diagnostic tools to anticipate bottlenecks in sustainability and energy transitions. It…
Joshua Lappen, Emily A. Grubert, J. Mijin Cha
Drawing on the decline of the US coal industry, this paper extracts lessons for the rapid, coordinated retirement of fossil fuel infrastructure. It argues market-mediated transition is inadequate given rising risk tolerance among successive…
P. Kalpanadevi, Asha R Nair
A historical-analytical study tracing household energy transitions in Pathanamthitta district, Kerala, across four phases from biomass (1950-80) to electrification, LPG, and rooftop solar (2015-25). It links the shift to rural electrificati…
María Cecilia Ruiz Cardona, Carlos Humberto González Escobar
The paper builds TEJI, a composite index of eleven sub-indicators across five energy-justice dimensions, calibrated on six Colombian mega-projects (wind, solar, green hydrogen, hydro, gas). Aggregate scores are low (9.2–35.8/100), with rest…
Abdel Nasser Ahmed Hussein Omar
This study analyzes Saudi Arabia's and the UAE's accelerated clean-energy shift through a 'strategic competition' lens, comparing Saudi Vision 2030 with UAE Energy Strategy 2050. It argues the transition is not merely economic diversificati…
Chia-yi Lee
This article introduces 'two-way energy diplomacy' to explain how China simultaneously manages fossil-fuel vulnerabilities and expands its role in green energy markets. Comparing oil and gas with wind, solar, and lithium-ion battery supply …
Beo labs
An independent, non-peer-reviewed commentary re-examining Wang et al. (Nature, 2026), which models global PV waste through 2060 and evaluates 1,708 recycling/trade/subsidy scenarios for economic-climate equity. It identifies five logical ga…
Božana Vrhovac, Marina Frolova, Adrienne Grêt‐Regamey +1
This study examines social learning in a participatory regional visioning process in Knonauer Amt, Switzerland, comparing pre/post survey perspectives of participants (N=46) with non-participating residents (N=703). Participants' views on s…
Xin Wen, Nik Zielonka, Sanni Kunnas +1
This study empirically quantifies the implementation feasibility of modeled solar PV targets across 143 Swiss districts for 2035 and 2050, combining a spatially explicit cost-optimization electricity model with a hindcasting-based probabili…
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