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 81–100 of 32302 papers
Alaíze Dall-Orsoletta, Michele Manfroni, Géremi Gilson Dranka +1
This study proposes a conceptual-methodological meta-framework linking energy justice to system dynamics (SD) modeling, offering structured guidance on how justice tenets, scales, and stakeholder perspectives inform problem framing, model d…
Panpan Wang, Yongping Li, Guohe Huang +5
This study couples a vine copula approach with a CGE model to analyze energy-water-carbon nexus dynamics under China's carbon-neutrality transition. It aims to quantify interdependencies and spillovers among the three systems across policy …
Wangyue Li, Rui Huang, Changbo Li +3
This review surveys perovskite solar cells across efficiency, cost, and industrial deployment, summarizing policy frameworks and evaluating carbon footprint via LCA. It discusses cross-sectoral decarbonization applications—building-integrat…
Jiarun Chen
This study examines how urban green infrastructure (UGI) and carbon neutrality can develop in coordination, using remote sensing, model simulation, and multi-case comparison. Indirect carbon reduction far exceeds direct carbon sequestration…
Jeffrey Dankwa Ampah
This work models international trade in carbon dioxide removal (CDR) across multiple scenarios. It finds that CDR trade lowers importer compliance costs while shifting mitigation burdens toward exporters. The results inform carbon market de…
Gero Dasbach
A study examining how an EU-India free trade agreement interacts with the EU's Carbon Border Adjustment Mechanism. It likely explores coherence between trade liberalization and carbon pricing, and effects on developing-country exports. Deta…
Prashant Khileri, Ashish Sharma
This study optimizes inventory for growing and deteriorating items under a carbon tax using an Artificial Bee Colony algorithm, incorporating trade credit. It derives ordering and inventory policies that internalize emissions costs, illustr…
Rüya Karcı, Nazmiye Tekdemir, Dilara Çakmakoğlu
A replication dataset for a spatial transition probit analyzing first adoption of national carbon pricing (taxes and ETS) across 51 countries from 1996 to 2024. It provides trade-weighted matrices built from BACI/UN Comtrade bilateral flows…
Ingrid Gil López
This master's dissertation applies machine learning to predict corporate Scope 3 emissions, incorporating supply chain network features alongside firm attributes. It tests whether relational/network structure improves predictive accuracy ov…
Nouhaila ILHAM, lobna boumahdi
A bibliometric review of 160 Web of Science documents (2015–2025) on sustainable finance and ESG performance steering. Co-occurrence, collaboration and bibliographic coupling analyses show social responsibility and governance are central, w…
Seyi Saint Akadırı, Oktay Özkan, Branimir Kalaš +2
Introduces a Quantile R² Connectedness (QR2C) framework combining quantile series with model-free R² connectedness to analyze volatility spillovers among conventional energy, green finance, energy transition assets, and digital sectors (AI,…
Md. Qamruzzaman
An empirical study examining how natural resource rents, digital finance, and green innovation shape carbon emissions reduction and energy transition across G20 emerging economies. It likely tests whether digital finance and green technolog…
Nicola Lattanzi, Daniela Baglieri
This work examines Europe's energy transition through a 'geopolitical sequencing' lens, analyzing how infrastructure build-out, policy legitimacy, and finance interact and order the transition. Without an abstract, specifics are limited, bu…
Iga Maria Lehman, Iwona Nowakowska, Henryk Zygmunt Wojtaszek
This study examines how executives strategically construct leader identity through rhetorical and charismatic tactics in ESG reporting, comparing across genres and cultural contexts. It suggests ESG disclosures function not merely as data r…
Sonali Srivastava, Manisha Singh
This chapter links ESG reporting distortions to financial fraud and builds a machine-learning framework (LightGBM, MLP) validated via fivefold cross-validation to flag manipulative reporting. Findings show ESG manipulation concentrates in e…
Joy Ndidiamaka Okoye, Chinyeaka Justine Igbokwe-Ibeto
This chapter examines how AI—machine learning and NLP—can improve the reliability and analytical quality of ESG disclosures amid greenwashing, inconsistent standards, and hard-to-audit self-reported data. Using a systematic literature revie…
Yohanes Halan, Stefanus Evan Taslim
A bibliometric analysis of 141 Scopus-indexed accounting articles (2014–2026) using Biblioshiny and VOSviewer. Output grew at a 34.93% CAGR, with research focus shifting from traditional CSR and governance toward carbon disclosure, ESG perf…
Atakan Osman Demircan, Nilay Tulukcu Yıldızbaş
This study evaluates Türkiye's forest law for climate mitigation and adaptation performance, combining legal analysis, AHP weighting, and a survey of 65 forestry practitioners across seven criteria. Conservation-oriented provisions scored s…
Mohamed Ali Mahmoudi, Foued Badr Gabsi
Using 2010–2022 data from 41 sub-Saharan African countries, the study combines SEM with machine learning (DML, causal forest, SHAP) to examine nonlinear links between financial inclusion (FI), energy poverty (EP) and environmental degradati…
S. N. Weerasinghe, Sarah J. McLaren, Romain Sacchi +3
This study applies prospective LCA to recurring office fit-outs in Aotearoa New Zealand, finding material manufacturing dominates emissions. Circular economy strategies cut a single fit-out's net impact by 17% under static LCA, while prospe…
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