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 461–480 of 23103 papers
Qing Huang, Chenglin Li, Yangsiyu Lu
This paper analyzes the skill transferability of fossil fuel workers to other industries, finding that many occupations have high transferability. It highlights the potential for employment policies to support a just transition.
Jiawen Sun, Geng Yi, Rui Zhong +2
This paper proposes a planning method for optimizing regional integrated energy systems with hybrid energy storage. It aims to enhance renewable integration and energy efficiency while balancing cost and environmental impact, supporting dec…
Seyed Ali Hosseini, Francesco Grimaccia, A. Niccolai
This paper introduces fuzzy logic into reward design for deep reinforcement learning agents in carbon emission trading (ETS), aiming to optimize trading strategies. Fuzzy rewards improve decision-making under uncertainty, balancing emission…
Yuqi Wang, Weiqing Wang, Sizhe Yan +1
This study proposes a coordinated optimization method for multi-island energy systems incorporating an internal carbon trading mechanism, aiming to minimize total cost and carbon emissions simultaneously. By coordinating energy supply and d…
Caixia Liu, Changjuan Dong, Haibo Li +6
This paper presents a roadmap and technology framework for achieving near-zero carbon ports, based on multi-case studies of typical ports in China. It identifies key technological options and policy measures for port decarbonization and pro…
Wang Ru, Han Dong
Using panel data from 31 Chinese provinces (2001-2021) and a super-efficiency SBM model, this study finds that agricultural insurance significantly improves the ecological efficiency of grain production. Carbon emission intensity negatively…
Li Zhang, Y.-C Chen, Ke Wang +12
This study develops a harmonized, source-resolved methane inventory for 339 Chinese cities (2018-2024) across energy, agriculture, and waste sectors. Using LMDI decomposition and scenario analysis, it identifies economic activity as the dom…
Zixin Zhao, Yue Gong
This study uses China's Climate-Resilient City Development Pilot Policy (CRCDPP) as a quasi-natural experiment and a difference-in-differences approach to examine its impact on corporate green transformation. The policy promotes green trans…
Marek Borowski, Klaudia Zwolińska-Glądys, Jianwei Cheng +2
This study proposes an integrated approach combining methane capture and hydrogen production from coal mine methane to reduce greenhouse gas emissions and enhance energy recovery. A scenario-based techno-economic analysis evaluates investme…
Shu Tao
This paper reassesses the role of unconventional oil and gas resources amid the global energy transition toward lower-carbon systems. It discusses their importance in balancing energy security and structural transformation, and reviews the …
Junhao Wu, Ling Ma, Dongfang Liang +2
This study analyzes the spatiotemporal optimization of rooftop rainwater harvesting systems, evaluating dual benefits in flood mitigation and water supply under climate change. It demonstrates effectiveness as an urban climate adaptation st…
Xueqing Wang, Lang Wang
Using Chinese A-share listed firms from 2010-2023, this study shows climate risk exacerbates green innovation bubbles—a divergence between patent quantity and quality. Managerial myopia and financing constraints are key channels, while digi…
Vu Tuan Anh, Vu Thi Phuong Thao
Using firm-level data from Asian markets (2000-2024), this study finds that biodiversity impact reduction improves ESG scores by about 13.5%, with the strongest effect on the social pillar. Robust to IV and matching methods, the benefits ar…
Nurhusnaini, Ayu Umyana, Khristina Yunita
This study empirically examines the effect of GRI-based sustainability reporting disclosures (economic, environmental, and social aspects) on the cost of equity for energy companies listed on the Indonesia Stock Exchange. Using panel data r…
Jørgen Kjøsen Lindgren
This perspective argues that companies removed from the CSRD's scope will still face stakeholder demand for sustainability information. Reporting under ESRS, especially double materiality, supports internal sustainability management, so rep…
Akhmad Faizhal, Ratna Anggraini, Muhammad Yusuf
This study analyzes the influence of independent commissioners, audit committees, profitability, and firm age on sustainability report disclosure among Indonesian energy companies. Using panel data regression, it finds that independent comm…
Afina Amalia, Nurul Aini
This study analyzes the impact of ROA and sustainability reporting on financial reporting quality, with firm size as a moderator, using data from Indonesian basic materials firms. Findings show that firm size strengthens the positive effect…
Jenita Nur Ahadiah, Ira Wikartika
This study examines the impact of leverage, sustainability reporting, and profitability on firm value for metal and mineral companies listed on the Indonesia Stock Exchange (2021-2024) using multiple regression. Leverage has a significant n…
Taufiq Andre Setiyono, Grace Tianna Solovida, Dessy Noor Farida
This study examines the impact of green accounting, carbon emission disclosure, and Islamic Social Reporting (ISR) on firm value for companies listed on the Jakarta Islamic Index 70 (JII70). Using regression analysis on 2023-2024 data, it f…
Md Qamruzzaman
Using panel regressions and a deep learning (MLP) model on 62 listed Bangladeshi financial institutions (2005-2023, 1,178 firm-years), this study finds that intellectual, human, and natural capital disclosures each positively and significan…
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