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 2981–3000 of 26614 papers
Nurcan Kilinc, Maria Marlein Warong
An empirical study examining how energy transition progress relates to capital inflows and environmental outcomes across BRICS economies. The framing suggests green investment does not automatically attract capital or deliver environmental …
Baibhaw Kumar, Heriberto Cabezas
This review compares LCA methodologies for woody biomass-to-energy pathways (combustion, CHP, gasification, pyrolysis, torrefaction, BECCS), showing that differences in functional units, system boundaries, biogenic carbon treatment, pretrea…
Felix N. Igbeghe
This systematic review examines literature on the dual challenge of expanding energy access while transitioning to cleaner energy sources in developing countries. Using content analysis, it identifies trade-offs and synergies between energy…
Meiying Huang
This paper empirically examines whether ecological informatization supervision promotes corporate energy transition in China. The replication package includes the main Stata do-file, a randomly sampled replication dataset, and additional da…
Behzad Zamanipour, Padam Adhikari, Farzin Ahmadi +1
This paper proposes a multi-dimensional framework for modeling the resilience of energy system transitions. Without an available abstract, specific contributions and findings cannot be confirmed, but it appears to offer a methodological app…
Тетяна Курбатова, Liliana Smiech, Iryna Mykolaivna Sotnyk +3
Using OLS on Ukrainian macro data (2002–2021), this study assesses how investment, energy efficiency, energy costs, and renewables drive CO₂ emissions. Macro energy efficiency emerges as the strongest decarbonization driver, while gross cap…
Yunita Sopiana, Dyah Maharani, Sutri Destemi Elsi +2
This study analyzes Indonesia's energy policy as a contested arena where decarbonization, power relations and distributive justice collide. Coal generates state revenue and energy security while concentrating socio-ecological costs, and nic…
Lindiwe Maphalala, Lelethu Mdoda, Unathi Kolanisi +1
Using 880 smallholder households in Eswatini's Lubombo Region, this study examines how climate change affects agriculture, water, and food-nutrition security within an integrated nexus framework. Drought frequency and reduced rainfall were …
Alavi SE
This paper reviews the role of deep learning and optimization techniques in smart grids integrating IoT and AI. LSTM networks, reinforcement learning, and Particle Swarm Optimization are presented as solutions for renewable variability, pea…
Mohseni Zonouzi, Seyyed Jamaledin, Aminpour Ghahramani, Pegah
Using a balanced panel of eight high-geopolitical-risk economies (2011–2023) and a gamma log-link GLM, this study tests whether industrial robot adoption drives renewable energy uptake. Robot density, labor participation, and R&D spending s…
Soares Siqueira, Abel, Tejada-Arango, Diego A., Morales-España, Germán +7
The Tulipa Energy Model is a Julia package for energy planning that integrates electricity markets with sector coupling. As an open-source optimization tool, it supports analysis of decarbonization pathways across power and other sectors (h…
MD MISTER, Dr. AMOL BARVE, Dr. NAND KISHORE
Using public CEA/PIB data, this study assesses a virtual 113.2 MW hybrid of a 50 MW NTPC solar plant and 63.2 MW of Oil India wind assets in Madhya Pradesh. Solar CF was ~18.0% and wind ~24.8%; combined annual generation reached 216.41 GWh …
Mostafa, MD Sayeed
Replication package for a two-way fixed-effects study of land pressure and the wind–solar technology gradient across 103 low- and middle-income countries (2000–2022). It provides the cleaned panel, codebook, panel-build script, and estimati…
Kalgi, Dhanraj, Shende, Akshay
This study evaluates the ROI of ESG integration and net-zero transitions in mid-sized enterprises using a mixed-methods approach. It finds quantifiable operational efficiencies (energy, supply-chain, waste), improved access to green financi…
Tang, Juk-Sen, Gong, Jing, Fu, Yi +1
Replication package reproducing all results of a study on whether Alberta's output-based carbon pricing (SGER/CCIR/TIER) blunted the effect of Canada's rising national carbon-price floor (GGPPA, 2019) on large industrial emitters. Uses firm…
Renee Obringer, Mir Matin, Kaveh Madani
This policy brief examines how domain-informed AI can complement traditional long-term energy infrastructure planning under climate uncertainty. It argues that stationary historical weather data and rigid models expose public investments to…
Martins A.H.
A techno-economic assessment of green hydrogen production via gasification processes. It examines how feedstock and process conditions shape production costs and the conditions under which hydrogen supply becomes economically viable, inform…
Lu Y.J.
A study on scaling carbon mitigation via enhanced oil recovery (EOR). Without an abstract, details are unclear, but it sits within CCUS, where CO2 is injected into oil fields to boost recovery while storing carbon. The net climate benefit o…
Shah D.
This work models how transient behavior in CO2 injection wells affects overall CCUS system performance using an integrated surface-subsurface approach. It highlights that accounting for dynamic well behavior is important for efficient and s…
Sarili M.
This work proposes a blueprint for dynamic reservoir assessment in CCUS projects. Without an abstract, details are unclear, but it likely addresses standardization of CO2 storage evaluation methods. It offers a technical contribution releva…
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