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 801–820 of 4160 papers
Lorenzo Dal Maso, Rodolphe Durand, Francesco Mazzi +1
Using the AMC framework, this study analyzes 854 U.S. listed firms (2006-2020) to show that natural disasters initially increase GHG emissions intensity, but firms and communities with high motivation and capability can attenuate or reverse…
Zhao Luo, Zitong Huang, Dewen Liu +11
This paper proposes a coordinated optimization model for an integrated energy system in copper metallurgy, considering material-energy-carbon coupling constraints. It derives operational plans that achieve both cost savings and decarbonizat…
Kanokkon Vorraapinyaporn, Prapita Thanarak, Unchittha Prasatsap +1
This case study analyzes system-level decarbonization of rice milling in Thailand by integrating solar PV, biomass, and electrified logistics. It evaluates emission reductions and economic feasibility, demonstrating potential for decarboniz…
Biéron M.
This paper assesses the marginal technologies that react to demand response events in the French power system. It analyzes the impact of demand response on grid carbon intensity and operations, offering insights for energy transition polici…
Durakovic G.
This study analyzes decarbonization pathways for the European energy system under a Russian gas supply disruption, focusing on power, heat, and industry. It highlights the critical role of hydrogen and carbon capture, with industrial demand…
Su C.
This paper proposes a dynamic optimal control strategy for CCUS technology innovation in coal power stations under an environmental protection tax. It models how the tax influences the timing and scale of technology investment, analyzing th…
Zhao X.
This paper empirically analyzes the impact of China's Green Finance Evaluation Scheme on green bond issuance costs. It reveals the mechanism by which regulatory incentives increase investor demand and lower financing costs, demonstrating th…
Wang Y.
This paper analyzes the impacts of China's Emissions Trading Scheme (ETS) on the national and Hong Kong economies using a dynamic computable general equilibrium (CGE) model. It quantitatively assesses the effects of carbon pricing on GDP, i…
Guiyuan X.
This paper analyzes the impact of carbon emission trading schemes (ETS) on the electricity market under China's dual carbon goals (peak emissions by 2030, carbon neutrality by 2060). It examines effects on electricity prices, generation mix…
Krueger P.
This paper empirically analyzes the effects of mandatory ESG disclosure regulations worldwide. It examines how such regulations influence corporate behavior and market outcomes, potentially reducing information asymmetry and improving ESG p…
Moutet L.
This systematic review synthesizes evidence on public health co-benefits of strategies aligned with net-zero emissions, such as renewable energy, low-carbon transport, and energy efficiency. It identifies air quality improvement as a key pa…
Browning M.
This paper analyzes multiple scenarios for the United States to achieve net-zero CO2 by 2050 using the Energy Modeling Forum 37 (EMF37) framework. It compares technological, economic, and policy pathways, assessing feasibility and cost impl…
Bataille C.
This paper analyzes transition pathways for the industrial sector toward net-zero emissions, discussing new supply chain configurations, modeling challenges, and policy implications. It examines technological, economic, and institutional ba…
A. Andrikopoulos, P. Michaelides, Guanxia Xie
Using patent data from over 3,500 Chinese listed firms, this study develops a structural model to show that ESG disclosure significantly boosts green innovation: disclosers see a 15.8% increase in green patent applications and 21.4% in auth…
Sitong Zhang
Using the 2016 HKEX mandatory ESG disclosure policy as a quasi-natural experiment, this study employs a DID approach with A+H shares as treatment and A-only shares as control. It finds that mandatory ESG disclosure significantly increases s…
A. Butt
This qualitative study, based on 40 interviews across 11 manufacturing firms, examines how digital supply chain capabilities (IoT, blockchain) enable regionalization. It finds that digitally embedded information-processing and evidence-prod…
Yayuqiong Zeng, Qi Huang, Liuchun Zhang +1
This review examines the shift toward regenerative material systems in the built environment, evaluating bio-derived and carbon-storing materials (e.g., engineered timber, hempcrete) and low-carbon or circular mineral alternatives (e.g., lo…
Yuriko Uemura, Hidemichi Fujii
Using a global panel of 1,180 firms across 53 countries, this study finds that human capital disclosure is positively associated with cost of capital, but when coupled with strong management practices, it lowers cost of equity, especially w…
Zepeng Wang, Jialin Li, Kexin Zhang
This study examines the impact of carbon emission disclosure quality on corporate default risk using a sample of Chinese A-share listed firms from 2013 to 2022. Higher disclosure quality is significantly associated with lower default risk, …
Zhang Chenxuan, Peixiao Fan, Siqi Bu +1
This paper highlights the energy costs of integrating AI into power-transport networks, introducing the 'Computation-Energy Paradox.' It shows via a case study that during disasters, increased AI use for emergency management can worsen powe…
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