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 8261–8280 of 32796 papers
Tianbiao Zhao
This review systematically compares CO2 geological storage options in China from an engineering perspective, evaluating six storage types (deep saline aquifers, depleted oil/gas reservoirs, coal seams, basalts, shales, marine sediments) usi…
Tianzhi Ouyang, Qi Liu
This review proposes an integrated framework for evaluating economic cost-benefit and environmental resource management performance under carbon trading markets. It synthesizes theoretical foundations, economic costs and benefits, and envir…
Liming Hong, Sajid Anwar, Lili Yu
This paper develops a theoretical North–South trade model to examine trade-offs between environmental regulation, competitiveness, and consumer welfare under trade frictions. It finds that the optimal environmental tax is lower than the Pig…
Lili Lu
This paper develops a two-echelon low-carbon supply chain game model to analyze the effects of carbon cap-and-trade and government subsidies on manufacturing decarbonization. It finds that cap-and-trade maximizes profitability and carbon re…
RUSHI CHEN, Effie Kesidou, Peter Howley
Using China's ETS as a quasi-natural experiment, this paper shows that regulatory-induced green innovation is path-dependent: the ETS only stimulates green innovation among firms with recent, continuous green innovation experience, not amon…
Qixin Liu, Timur Sayfutdinov, Arman Alahyari +1
This paper proposes a carbon emissions accounting method for jointly optimizing energy and carbon trading in virtual power plant (VPP) operations. It leverages VPP flexibility to balance emission reductions with economic efficiency, offerin…
Hoang Duong Nguyen, Minh Ngoc Dinh, Minh Thu Tran +1
Regenerative agricultural supply chains generate ecological value but are excluded from financial valuation, creating a 'bankability gap' that constrains capital. Using a causal loop diagram, this study identifies feedback structures sustai…
Dara Ghahremani
This repository provides a machine-readable corpus of annual reports from European listed banks (2013-2023), along with scripts and an ESG dictionary for text analysis. It supports reproducible ESG disclosure research, including term-densit…
Aleena Varekat Charly, Tetiana Paientko
This paper examines stock price reactions to five CSRD milestones using matched German DAX and US S&P 500 firms. The annual difference-in-differences estimator yields a positive coefficient, but diagnostics indicate it does not identify a r…
Małgorzata Radomska
This chapter analyzes the relationship between sustainability reporting and AI from a regulatory perspective. ESG disclosure and AI regulation have developed separately, leading to fragmentation and practical challenges. It maps key legisla…
Mike Brewer, Alex Clegg, Jonathan W. Marshall
This policy paper proposes a targeted energy discount scheme for UK households, criticizing universal support for its inefficiency and suggesting a design that reaches lower-income groups more effectively. It recommends building the scheme …
Dabwiso Sakala
This thesis examines how charcoal production, land-use change, and climate change affect carbon dynamics across Sub-Saharan African biomes using dynamic vegetation modeling and random forest analysis. Findings show biome-dependent carbon lo…
Marcus Vinicius da Silva Neves, Alexandre Szklo, Roberto Schaeffer
This chapter introduces an extended exergy-based energy return on investment (Ex-EROI) framework to address the limitations of conventional EROI in capturing the complexity of the current decarbonization-driven energy transition. It integra…
P. Vibin Sri Balaji, Srinivasan R
This study proposes an AI-based framework integrating satellite data and machine learning to identify optimal solar plant sites and forecast 10-year energy output. Using NASA POWER data and Random Forest regression, it achieves high predict…
Enric Tello
This chapter argues that agricultural systems are both a cause and a key solution to the global environmental crisis. It applies material and energy flow accounting from ecological economics to agroecosystems as coproduction with nature, us…
Mariusz Baranowski
This paper analyzes the complexity of Poland's power sector decarbonization, evaluating projected generation mix to 2040. It finds coal's share declining from 87% in 2015 to 9% in 2040, with renewables expanding to 53%, but warns of carbon …
Aina Muñoz Molina
This article critically examines the gap between the European Green Deal's just transition promise and reality, using case studies from Poland, Germany, Spain, and Sweden. Applying three dimensions of justice (distributive, procedural, reco…
Weila Gong, Joanna I. Lewis
This study analyzes the politics of China's coal transition, focusing on bureaucratic roles. Using an original dataset of national coal policies from 2013-2025, it finds that coal-reduction policies led by the Ministry of Ecology and Enviro…
Lebogang Tlowana, Mampilo Phahlane, Avrill Mukhithi
A systematic review of government-led energy sustainability initiatives, analyzing 40 articles via PRISMA. Highlights renewable integration, circular economy, and just transition as key, while identifying barriers like financing, infrastruc…
P. Vibin Sri Balaji, Srinivasan R
This study integrates satellite data and machine learning to identify optimal solar installation sites and forecast 10-year energy output. Using NASA POWER data and physical PV modeling, Random Forest achieves high predictive accuracy (R²≈0…
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