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 19881–19900 of 20907 papers
Salim Masood Nassery, Vahid Bakhshi Ghourt Tappeh, Akram Zaman +1
This paper examines how EU policy frameworks, such as the Green Deal and CSRD, influence climate entrepreneurship in Europe, with a focus on Finland. It explores the role of cleantech, circular economy, and digital technologies like AI and …
Hong Ngoc Tran, Mai Thuy Tien Pham
This study examines how the EU's Carbon Border Adjustment Mechanism (CBAM) affects Vietnamese steel exporters. It finds that dynamic capabilities, especially technological and green innovation, are crucial for maintaining competitive advant…
Susilo Nur Aji Cokro Darsono, Chuanchen Bi, Intan Mutiara +3
This study analyzes macroeconomic drivers of China's green bond prices using an ARDL model. Economic policy uncertainty negatively impacts green bonds in both short and long run. Global financial market volatility and exchange rates have po…
Marina Yesica Recalde
This paper reviews the 'energy efficiency gap' in the industrial sector, analyzing barriers that prevent cost-effective efficiency improvements. It argues that supply-side renewable energy expansion alone is insufficient, making demand-side…
Md. Mamun, Nayeem Md. Lutful Huq, Shuvo Chandra Das +4
This review assesses renewable energy potential for Bangladesh's growing energy needs, analyzing solar, wind, hydro, biomass, geothermal, and nuclear resources. It identifies barriers like funding, land, and infrastructure, emphasizing tech…
Somayeh Sadegh Koohestani, Pierre Mukheibir, Rachael Wakefield-Rann +1
This study analyzes barriers to mainstreaming Blue-Green Infrastructure (BGI) for climate adaptation using Socio-Technical Transition theory. Through focus groups with planners, developers, and engineers in Sydney, it identifies five key do…
Yuguo Ji, Xinsheng Pang, Yu Yang
This study develops a carbon-market-consistent framework to show how digitalization reduces carbon abatement costs. Using panel data from 30 Chinese provinces (2011-2022), it finds an inverted-U effect of digital economy on abatement costs,…
Next Move Strategy Consulting
This report provides an overview of the solar power equipment market, highlighting growth driven by rising renewable energy demand, supportive policies, and technological advances. Adoption across residential, commercial, and utility-scale …
Wu Jingran, Ge Wenlong, Cai Yajing
This paper examines financial support pathways for green transformation of leading industries under China's Dual Carbon goals, using literature review and a Volvo case study. It identifies challenges such as information asymmetry, cross-bor…
Ziming Liu, Hefa Gui, Ling Hu
This study examines the impact of green bond issuance on stock price crash risk using Chinese listed firms. Green bonds reduce crash risk through information asymmetry and investor attention mechanisms, but the effect is not sustainable. Hi…
S. Boutouria
This study examines dynamic relationships between green bonds, CO2 emissions, clean energy stocks, investor sentiment, and financial stress using quantile regression and Bayesian time-varying VAR models from 2011 to 2023. Results show a neg…
Tian Xia, Isaac Appiah‐Otoo, Xudong Chen
This study examines the impact of carbon disclosure on corporate carbon emission reduction performance and the role of government subsidies, using a sample of 33,175 firm-year observations from Chinese A-share listed companies (2008-2023). …
null Olugbenga F Akomolehin
This paper analyzes investment strategies that balance financial returns and sustainability goals in energy transition projects. Using a mixed-method approach with three case studies (green hydrogen in Germany, solar auctions in India, mini…
Mehmet Balcilar, Oktay Özkan, Ojonugwa Usman +2
This study analyzes the impact of modern technologies in finance, communication, transportation, and manufacturing on global energy transition using daily data from 2017 to 2024. Using RWQC, PRWQC, and Quantile DCC-GARCH methods, it finds a…
Jinyu Wang, Rongqiang Xu, Shanshan Ye
This study measures China's interprovincial industrial green efficiency index from 2005-2022 using the super-efficiency SBM model and analyzes driving factors with the geographical detector method. Industrial governance has the largest driv…
Jiayi Zhang
Under China's dual carbon targets and renewable energy policy, the PV industry faces financial strategy transformation. This case study of LONGi Green Energy shows that a prudent financial strategy enhances R&D investment, capital allocatio…
Na Luo, Michal Sroka
This study examines the interplay between financial development, green technology investment, and environmental policy stringency on sustainability in E7 countries (2000-2022). Using MMQR, it finds that finance and investment enhance sustai…
Binyu Liu, Qijun Jiang
This study analyzes how environmental regulations leverage management ability to drive sustainable productivity in Chinese A-share firms (2015-2022). Using DID, DEA-Tobit, and entropy-weighted methods, it finds that stringent regulations en…
Rumeng Rao, Xiuxiang Li, Yuxin Pan
This study examines the impact of China's Green Factory Identification (GFI) on firm export performance using panel data of A-share listed manufacturing firms from 2008 to 2023 and a multi-period DID model. GFI significantly enhances export…
Hongji Zhou, Rong Wang
This study measures energy efficiency (EE) using a super-efficiency SBM model and examines the impact of AI and green finance (GF) on EE via a Tobit model. Regional analysis in China shows AI significantly improves EE nationally and in east…
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