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 19221–19240 of 20256 papers
Thị Gấm Nguyễn, Hải Âu Phạm
This paper examines the role of the Vietnamese banking sector in promoting green finance and ESG integration, using case studies of five major commercial banks from 2020 to May 2025. It finds that ESG maturity is limited due to the absence …
Jabeen, Anoosha, Khan, Muhammad Asif, Akhtar, Hassan +1
This study analyzes determinants of renewable energy investment in Pakistan (2004-2023). Domestic private credit and market capitalization positively influence investment, while government effectiveness shows a negative relationship, sugges…
Aditya Nugraha, Yunieta Anny Nainggolan
This study evaluates the profitability impact of phasing out coal lending for Bank Permata, an Indonesian bank, using scenario analysis. Short-term declines in interest income are projected, but long-term benefits include reduced regulatory…
Fikri Kaplan
This paper reviews the role of green finance in combating climate change, highlighting how investments in renewable energy, energy efficiency, and sustainable agriculture support sustainable development goals. It discusses the influence of …
Mамараджабов Фарход Бахтиярович
This paper analyzes the role of environmental management standards in driving sustainable development and the green economy. It examines how international standards such as ISO 14001, EMAS, GRI, and IFRS S1/S2 affect corporate competitivene…
Neenu Chalissery, T Mohamed Nishad, P. Milinth
This study analyzes return co-movement and asymmetric volatility spillover between oil price uncertainty and green stocks in India (BSE GREENEX, CARBONEX, ESG 100) during 2019-2023, including COVID-19 and the Russia-Ukraine war. Findings sh…
Irina Georgescu, Ayşe Meriç Yazıcı, Vildan Bayram +3
This study analyzes the impact of AI investment, green finance, government stability, and institutional quality on renewable energy consumption using panel data from 15 leading green finance countries (2014-2023) with CS-ARDL method. AI inv…
Rong Cong, Hongyan Gao, Liya Wang +2
This study examines how combinations of institutional and competitive pressures (congruent vs. incongruent) affect green innovation. Using panel data from Chinese A-share listed firms (2010-2022), it finds that congruent pressures suppress …
Łukasz Jarosław Kozar, Adam Sulich, Lumír Kulhánek
This paper identifies green research perspectives in the energy sector of the Visegrád Group countries through a literature review and bibliometric analysis. It classifies five thematic categories: green economy/finance, policies, energy, t…
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…
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