This page provides an English interface to the gxceed GX paper corpus. The corpus aggregates papers from 13 open 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 521–533 of 533 papers
United Nations Conference on Trade and Development
This guide provides policymakers with a practical roadmap to translate climate objectives into investment opportunities. It outlines approaches to integrate investment and FDI needs into NDCs, align national policy frameworks with climate g…
GX投資拡大に向けた金融市場の概況・役割
(著者不明)
This paper provides an overview of the current state and expected role of financial markets in expanding GX investment in Japan. It organizes financial market functions from the perspectives of capital supply, risk assessment, and disclosur…
Fulu Yin, Lin Huang, Linchang Zheng
This study empirically demonstrates that climate investment and financing policies (CIFP) effectively reduce corporate carbon emissions. The mechanism shows that CIFP work by alleviating financing constraints, with market competition negati…
Lévy, Nathalie, Moukoumia, Derick
This paper systematically reviews the integration of double materiality into EU sustainable finance labels (SFDR, CSRD, Taxonomy). It analyzes impact measurement mechanisms such as Principal Adverse Impacts (PAI), green share, and sectoral …
Xiao Zhenyu, Xin Xueling, Li Yue +1
This paper develops a DFSR model framework for transition finance evaluation in China's power industry, assessing 64 firms using Entropy Weight-TOPSIS. Key findings: driving force and response are critical dimensions; development is slow wi…
Y. Akin
This study analyzes financing strategies for oil and gas companies to achieve long-term energy transition under tightening ESG regulations. Using an ESG-integrated financial model for an offshore wind project and Monte Carlo simulation, it …
Amadi, P. U.
This paper analyzes tensions between climate regulations (fossil fuel phase-outs, carbon pricing, green incentives) and international investment law. It examines investment tribunal cases, arguing traditional investor protections may constr…
Luis Hausladen, Tobias Lausser, Rudi Zagst
This paper presents two novel stochastic optimal control approaches for aligning portfolios with net-zero targets. The first minimizes time-weighted carbon footprint, while the second minimizes deviation from a net-zero path. Applied to rea…
V. perera, M. Nanayakkara, W. Madurapperuma
Using a panel of 1,370 firms across nine emerging economies from 2014-2024, this study finds that green finance significantly improves corporate environmental performance, but this positive effect is weakened under higher economic policy un…
Fei Fang
This paper examines the policy effects of green bond issuance by the Three Gorges Group (TGG), a leading Chinese energy enterprise, from 2019 to 2021, focusing on financing constraints. Through case analysis, quantitative data, and literatu…
Chuhui Zhong, Zimeng Zhang, Xing-gui Wang +1
This study develops a dual graph neural network (GNN) framework to spatiotemporally assess the role of green finance in China's energy transition towards carbon neutrality. Using a GATv2 model, it identifies influential regions and factors,…
Bingzi He, Fanglei Zhong
This paper analyzes the relationship between green finance and green total factor productivity (GTFP) in China's legacy industrial regions (Rust Belt). Using a province-year panel from 2006-2023, it finds that green finance is positively as…
Huabo Hu
This study uses China's 2017 Green Finance Reform and Innovation Pilot Zone policy as a quasi-natural experiment to examine its impact on corporate environmental investment. Using DID model on A-share listed firms from 2011-2024, it finds t…
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