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 441–460 of 32968 papers
Xiaoyi Hu, Wei Wen, Tao Yang +3
This study builds a district-level GHG inventory for Tongzhou, Beijing (2018-2020), covering energy, agriculture, LUCF, and waste, and applies LMDI decomposition to identify sectoral drivers. Energy activities dominated (>94% of emissions),…
Sri Suryaningsum, Pandu Aryoseto, Ratih Sekar Ratnasari +1
This case study analyzes GHG emissions of Indonesian energy firm TBS (2020-2022) using sustainability reports. Emissions surged nearly six-fold to 1.37 MtCO2eq as two 200MW coal plants fully operated, raising intensity from 1,125.8 to 1,920…
Nurul Aini, Lilik Pirmaningsih
Using 62 Indonesian-listed manufacturing firms (248 firm-year observations, 2021-2024), this study tests how sustainability reporting (SR) and good corporate governance (GCG) affect firm value, with firm size as a moderator. SR, independent…
Gianmarco Salzillo, Nicola Moscariello, Michele PIZZO
This conceptual paper explains why standardisation does not necessarily yield substantive comparability in sustainability reporting. It argues that concentrating standard-setting authority around financial-reporting-rooted institutions may …
Komang Adi Kurniawan Saputra, Putu Ayu Sita Laksmi, Naori Miyazawa
A quasi-experiment with 60 Balinese tourism firms shows blockchain integration raised environmental reporting accuracy by 18.6% and cut verification time by 67% (9.4 days). Smart contracts boosted stakeholder trust and reduced audit costs, …
Ismaila Saidykhan
This master's thesis compares sustainability reporting standards to assess which are more or less prone to greenwashing. It focuses on how differences in standard design shape corporate disclosure behavior and greenwashing incentives.
이현주
This study analyzes the ESG disclosures of two Korean public airport operators (Incheon International Airport Corporation and Korea Airports Corporation), examining which institutional sources they draw on and how evidence-presentation mech…
Mohammed Ali Alghamdi, Shadia Daoud Gamer, Abdelmjeed Abdelrahim Ali Alajab +2
Using 73 non-financial Tadawul-listed firms (2015–2024), this study tests whether ESG disclosure reduces firm risk, focusing on board independence as a moderator. Fixed-effects and dynamic System GMM results show the risk-reducing effect is…
Frisky Jeremy Kasingku, Abby Ashraff Bin Saprudin, Boon Heng Teh
This study empirically examines the relationship between ESG disclosure intensity and firm performance among ASEAN-listed firms. It tests how the depth of ESG disclosure affects financial performance and firm value, offering evidence from e…
Lipsa Priyadarshani, Nirakar Barik
This study tests whether an ESG factor adds explanatory power beyond the Fama-French three-factor model in the Indian equity market. A four-factor model including ESG yields alphas indistinguishable from zero across most characteristic-sort…
(著者不明)
This study examines how sustainability performance, third-party assurance, and green governance distinctly shape audit opinions. It suggests these elements play separate roles in auditors' judgments, informing how assurance quality and disc…
1Dr. Hamam Saoudi, 2Dr. Abdelhafid Zaidi, 3Prof. Fadila boutora, 4Prof. Naoufel Smaili
A management study on how strategic decision-making integrates with sustainable marketing in industrial firms, illustrated by a phosphate-product carbon-footprint reduction case. It links product-level decarbonization to market strategy; no…
Yanan You, Junhao Lin, Yanxi Liu +4
This study compares Ecoinvent v3.10 and CLCD v0.9 carbon footprints for two full-scale municipal wastewater treatment plants in Shenzhen, China, using operational data. Ecoinvent yielded 4.53% and 9.04% higher footprints than CLCD and alter…
汲奕君 JI Yijun, Qian Zhai, Yi Song +3
This study moves beyond static cross-sectional analysis to trace the spatiotemporal evolution of carbon footprints of China's mainstream photovoltaic systems. It contributes a lifecycle, region- and time-sensitive view of PV decarbonization…
Mythili Ramamurthy Srinivasan, David de Berker, Zoe Claire Venables +2
First population-level, stage-specific estimates of the carbon footprint of melanoma care in England. It quantifies environmental burden by disease stage, identifying priority areas for decarbonizing healthcare pathways.
Kartik Lakhnotra, Abhishek Pathania, Niraj Kumar
Cement production accounts for roughly 5% of global CO2 emissions. This study investigates using CO2 captured from cement-kiln flue gas for concrete curing, where it reacts with calcium-rich components to form stable calcium carbonate, perm…
Jessica F. van Veen, Ulf J.J. Hahnel
This is a pre-registration for a study estimating carbon tax impacts across 15 countries, specifying hypotheses, measured variables, and a data analysis plan. It outlines the framework for a cross-country empirical assessment of carbon taxa…
Gerardo Raúl Monzón Holguín
This master's thesis analyzes the EU Carbon Border Adjustment Mechanism (CBAM) from a tax-law perspective, integrating legal, economic, and environmental dimensions. It examines CBAM's role in preventing carbon leakage and supporting EU cli…
N. Szarka, A. Toledo, J. Cooper
This study proposes an integrated framework to assess bio-based carbon dioxide removal (bioCDR) pathways in Canada, combining literature analysis, stakeholder mapping, a geospatial decision-support tool, and PESTELB driver analysis. Pathway…
Avin Gupta
HyCAN-DB is an open, FAIR-compliant database of hydrogen sorption measurements in carbon nanomaterials, with per-row provenance, reproducibility tiers, and a reproducible meta-analysis and ML pipeline. v0.1 covers 521 measurements from 51 p…
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