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 2981–3000 of 13624 papers
Brenda Morales, Paola Ovando
This paper examines organisational attitudes and preferences towards forest carbon offsets in Spain's Carbon Footprint Registry. Findings indicate that while organisations are generally positive, concerns about transparency and verification…
Limei Sun, Siqi Peng, Jinjin Liu +1
This study examines the economic and carbon reduction impacts of a maritime carbon tax on China's shipping industry. It likely quantifies effects on shipping costs, trade flows, and emissions, informing policy design for decarbonizing inter…
Luoye Chen, Zichong Chen, Donghao Jiang +1
This paper argues that global carbon accounting methodologies systematically undervalue China's blue carbon assets. It critiques how standardized approaches ignore local ecological conditions, leading to disadvantageous assessments for Chin…
Obaid Ullah, BenYan Tan, Ali Zeb +1
This paper applies machine learning to examine how artificial intelligence, carbon pricing, and green finance affect renewable energy affordability in advanced economies. It quantifies the impact of policy interventions and identifies drive…
Daniel Driscoll
This book analyzes the political failure of carbon taxes, arguing they failed because governments relied on wishful thinking and market signals instead of strategic investment and planning. It proposes the Growth Model Policy Alignment Fram…
Berta Singla Just, Laura Díaz-Guerra, Vaibhav Shrivastava +5
A 28-day soil incubation study examined how carbon availability, phosphorus, and moisture affect GHG emissions from bio-based fertilisers. Results show that labile carbon boosts CO2 emissions significantly, while recalcitrant carbon can lea…
Beichen Chen
This systematic literature review of 147 quantitative studies (1990-2025) compares carbon pricing, industrial subsidies (incl. feed-in tariffs), and public innovation support in Green New Deal frameworks. Carbon pricing achieves the lowest …
Michal Wojewodzki, Mohamad H. Shahrour, Alireza Rohani +2
Using panel data on US S&P 500 firms from 2012 to 2024, this study finds that credit rating downgrades lead to a significant deterioration in emission reduction scores by about 1.8 points. Upgrades only improve emissions performance for inv…
Ziqi Li
This study examines how green innovation affects carbon performance in Chinese manufacturing firms from 2014-2023. It finds that green innovation significantly improves carbon performance, and climate policy uncertainty positively moderates…
Guozhen Zhang, Xiaonan Wang, Huijuan Zhang +1
This study empirically analyzes the impact of fiscal and financial policy synergy on regional carbon emissions using Chinese provincial panel data from 2006 to 2024. The results show that such synergy significantly reduces carbon emissions …
Andrea Catalina Carrero Perilla
This paper compares carbon tax policies on air passenger transport in Colombia and Spain from 2016-2022. Colombia introduced a direct carbon tax in 2016, while Spain uses indirect hydrocarbon taxation under EU climate policy. The analysis e…
Troels Krarup, Peter Karnøe
This paper analyzes the Danish Economic Councils' (DEC) consistent opposition to green energy subsidies over three decades, advocating instead for a uniform carbon tax as the sole policy instrument. The advice is found to be heavily theory-…
Lidija Kraujalienė, Atif Yaseen, Saulius Kromalcas +1
This study analyzes the impact of AI, energy consumption, and economic growth on CO2 emissions using Japanese data from 1995-2024. AI and energy consumption increase emissions, while exports decrease them. Recommends shifting to renewables …
Dr. Sunita Chaki
Using panel data of developing countries from 2010-2023, this study applies econometric methods (fixed effects, ARDL, FMOLS) to examine the impact of green finance (green bonds, renewable energy credit) on carbon emissions and economic grow…
Ling Li, Ji Guo, Xianhua Wu
This paper analyzes the synergistic effects of carbon tax, revenue recycling, and technological progress on the transport sector. It examines how combining these policy instruments impacts emission reductions and economic outcomes.
Huifa Chen, Yuan George Shan, Junru Zhang
This paper examines whether internal carbon pricing (ICP) acts as an agent of change in corporate green transitions. It analyzes behavioral changes in firms adopting ICP, evaluating the impact on investment decisions and emission reductions…
Jeroen Barrez, Kris Bachus
This paper examines whether policy packaging (combining carbon pricing with complementary policies) can improve the effectiveness and political feasibility of carbon pricing. It provides insights for designing more acceptable and impactful …
Fathin Faizah Said
This study examines public acceptance and willingness to pay for carbon pricing in Malaysia, providing empirical evidence for policy design and public engagement.
Veronica Puspita Sari, R. Ricky Agusiady, Fitriana
This literature review examines the relationship between carbon taxation, ESG practices, and green economic transition. Findings show carbon tax has evolved into a strategic mechanism for low-carbon transformation. ESG plays a role in corpo…
Haizhou Wang, School of Business, University of Chinese Academy of Social Sciences, Beijing, 102488, China
This paper empirically examines how China's carbon emissions trading pilot promotes corporate digital transformation, using dual machine learning and difference-in-differences on panel data of A-share listed firms from 2010-2021. It identif…
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