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 1921–1940 of 4286 papers
Jie He, Liz Varga
This study analyzes barriers and interdependencies in decarbonizing sustainable infrastructure, focusing on collaboration between investment and sustainability sectors. Using expert interviews and ISM/MICMAC analysis, it identifies regulato…
Ishana Ratan, José Vega-Araújo
Renewable energy projects often face local resistance driven by social, cultural, and political factors beyond monetary compensation. Based on qualitative evidence from La Guajira, Colombia, this study shows that companies underestimating c…
Enas Ghonimi, Yongping Sun
This paper presents the Energy Transition Index (ETI), a composite dataset covering 141 emerging markets and developing economies from 2000 to 2023, adapted from the WEF framework. It comprises two sub-indices: Energy System Performance (ES…
Meera Mahadevan, Adrian Martinez, Ryan McCord +2
This study uses a randomized controlled trial in urban Nepal to evaluate policies promoting electric stove adoption. Subsidies increased adoption by 23 percentage points and cookware purchases by 41 points, while information campaigns had l…
Nimas Melenia Mutiara Akbary, Irwan Trinugroho, Putra Pamungkas +1
This study examines whether disclosing climate risks increases debt costs for firms in emerging markets. Using firm-level data from Thomson Reuters/LSEG Eikon and System GMM estimation, it finds that disclosing firms face higher interest co…
Zhenlan Dou, Chunyan Zhang, Chaoran Fu +2
This paper provides a multi-scenario operational dataset for a green hydrogen-ammonia chemical park in Jilin, China, covering grid-connected and off-grid modes with hourly records of renewable generation, electrolyzer/synthesis power, grid …
Gabriela Ciurea-Ercau
This study examines the impact of the Voluntary Sustainability Reporting Standards (VSME) for SMEs on access to EU funds and sustainable investment strategies. Using a mixed-method approach, it compares funding success rates between VSME ad…
Yuan, Mengyao, Cross, Nicholas, Lynch, Madi +1
This dataset provides code and data to reproduce figures from a manuscript analyzing the economics and emissions of natural gas power with high-efficiency CO2 capture. Produced by Lawrence Livermore National Laboratory under U.S. DOE contra…
Saiful Anwar, Dian Agustia, Wiwiek Dianawati +1
This study examines the effect of the Women Leadership Index (WLI) on sustainability reporting assurance and assurance level using 13,107 firm-year observations from 1,781 non-financial firms across Asia-Pacific, Europe, and MEA (2016-2023)…
Zhenghan Sun, Xueyang Cai
This study develops an eco-friendly 3D-printable cement-based composite using recycled fine aggregate from construction waste and bamboo fiber from agricultural waste. It systematically investigates the effects of bamboo fiber content on pr…
Christian Trovò, Vito Introna, Annalisa Santolamazza +1
This study compares green hydrogen and synthetic methane production from an 18.8 MW renewable park in southern Italy using a MILP optimization. Hydrogen LCOH ranges 9.55-10.27 €/kg, while synthetic methane is 5.67 €/kgCH4; on an energy basi…
Zirui Lin
Using a quasi-natural experiment of China's carbon trading pilots and panel data from 30 provinces (2005-2021), this study applies a DID model to assess policy impact on carbon intensity. It finds synergistic reductions in SO2 and PM2.5 but…
Saprida Khoirotunnisa, Maylia Pramono Sari
This study analyzes determinants of sustainability assurance levels (none, limited, reasonable) among Asian energy firms using panel data regression. Findings show that assurance provider attributes, media pressure, and profitability positi…
Rui Li, Yinglei Wu, Zhongyi He +1
This review outlines pathways for clean energy technologies toward carbon neutrality, focusing on global progress and China's strategies. It covers challenges of integrating variable renewables, status of key technologies (solar, wind, hydr…
Xinyue Wang, Yuhui Sun, Yi Lu +8
This review synthesizes progress in electrochemical technologies for deep decarbonization, covering water electrolysis, fuel cells, batteries, and CO2 reduction. It emphasizes catalyst design, interfacial control, and reactor integration to…
Ariela Caglio, Xi Chen, Gaia Melloni
This paper empirically examines the relationship between ESG pay features (incorporating ESG metrics into executive compensation) and firm value among international adopters of integrated reporting. It investigates whether ESG-linked compen…
Di Fan, Ke Wang, Chuanhui Wei +1
This study provides a high-resolution assessment of wind- and solar-powered green ammonia production in China, identifying cost-optimal siting under land-use constraints. It quantifies the potential and cost of green ammonia, highlighting i…
Marco Aurélio dos Santos Bernardes
This study introduces Adaptive Energy Stations (AESs) that integrate marginal grid emissions, fuel life-cycle carbon intensities, wholesale prices, and vehicle constraints into station-level dispatch optimization. A one-week winter CAISO pr…
Yao Liu, Wenbo Ma
This study analyzes the impact of trade liberalization and green supply chains on economic growth and energy transition using Chinese data. Combining regression and qualitative analysis, it finds a weak negative correlation between trade li…
Anh Bui-Tuyet, Nhat Duy Lai, Quyen Hua-Thi-Ngoc
AI has a dual role in energy transition: productivity gains in heavy industry reduce energy intensity, while data centers surge electricity demand. Using a 23-sector CGE model for Vietnam through 2035, Green AI boosts GDP by +1.79%, while B…
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