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 521–540 of 1012 papers
Lizhi Cui, Qianhui Shi
This paper constructs a system dynamics model coupling carbon tax, carbon emission trading (CET), and tradable green certificate (TGC) markets in China. It finds that a carbon tax of 50 CNY/ton significantly boosts renewable investment, and…
Chang M.C.
This study analyzes the differential effects of carbon tax on net-zero emissions targets and social welfare, offering implications for policy design.
Oliver Prinzing, L. Schaffer, A. Balthasar
This study examines how redistribution affects carbon tax acceptability using a conjoint experiment with 800 Swiss respondents. It finds that redistribution does not increase acceptability on average; progressive redistribution helps among …
Junyuan Li, Wendong Yang
This study proposes a unified multi-step interval-valued carbon price forecasting system integrating multi-objective reinforcement learning for feature selection, multi-source mixed-frequency data sampling, and a leading-expert dynamic resi…
Hongbo Liu, Xinyong Du, Chen Wu
This paper empirically analyzes the asymmetric growth effects of the EU's Carbon Border Adjustment Mechanism (CBAM). It suggests that the impact varies by countries' carbon price levels, highlighting the need for careful policy design to ba…
Thiru Selvan, Lumgailu Panmei
This paper analyzes the policy perspective on carbon trading and sequestration in agroforestry and cropland management, discussing the potential and challenges for climate change mitigation. It focuses on policy frameworks and incentive des…
Dang Thi Bach Van, Gia Luat Diep, Kim Quyen Nguyen +1
This paper analyzes the heterogeneous effects of carbon taxes and emissions trading systems on environmental degradation. It examines how differences in policy design affect emission reduction outcomes, providing insights for effective clim…
Manasi Goral, Talawar A. S.
This paper develops a regime-switching real options model to examine irreversible investment under uncertain carbon policy, alternating between low- and high-carbon tax regimes. It finds that carbon taxes deter investment and raise threshol…
Julien Andrieu, Safietou Soumaré, Matthieu Vignal +4
This is a corrigendum to a remote sensing assessment of the world's largest mangrove reforestation program in Senegal (2009-2012), which originally discussed implications for carbon crediting and climate change offsetting. The correction li…
Alan Rodrigues Teixeira Machado, Osânia Emerenciano Ferreira, Robson Pereira de Lima +2
Brazil is structuring a biochar value chain at the intersection of climate policy and industrial innovation. Recent regulatory advances, particularly the Brazilian Emissions Trading System (SBCE), create opportunities for biochar to be reco…
Luiza Martins Karpavicius, Katarina Elofsson
This study compares practice-based and results-based subsidies for agricultural soil carbon sequestration, finding that results-based subsidies yield higher net benefits and sequestration. For a practice-based scheme to outperform, its moni…
FEDERICO APICELLA, ANDREA FABIANI
This paper shows that carbon pricing and bank credit complement each other in reducing firms' carbon emission intensity. Using a reform-driven carbon price increase in the EU ETS and Italian credit registry data, it finds that highly expose…
Yun Liu, Fangxuan Pei, Ziyu Chen +2
This paper proposes a privacy-preserving joint carbon reduction and emission allowance trading (JCREAT) scheme that integrates secure multi-party computation (SMPC) with primal-dual gradient algorithm to address data security and inflexible…
Liangliang SUN, Xingguo Tan, Chaomeng LI
This paper proposes an ordered charging scheduling strategy for electric vehicles (EVs) to improve wind power accommodation. It establishes a charging load model, develops a TOU price strategy based on wind power output, and incorporates ca…
Zhitong Chen, Haipeng Nan, Fuqi Ma +4
This paper proposes a bi-level optimization model incorporating adaptive carbon price and low-carbon demand response to achieve low-carbon dispatch of integrated energy systems. It balances emission reduction and economic efficiency, valida…
Priyaranjan Jha, Advitha Arun
This paper analyzes the impact of the Carbon Border Adjustment Mechanism (CBAM) on trade and development in the Global South. It discusses potential trade frictions, effects on industrial competitiveness in developing countries, and implica…
Y J Li, Guo‐Fu Li, Sarah Cooper +2
This study analyzes the co-evolution of AI-driven carbon emission monitoring and dynamic carbon trading mechanisms, examining how heterogeneous policy combinations affect system efficiency and emission reduction outcomes. It suggests AI int…
Ju Qiu, Zong-Hong Cao, Feng Yu +2
This paper examines energy performance contracting (EPC) selection and carbon emission decisions in a supply chain under cap-and-trade regulation. A supplier can provide EPC to a manufacturer to enable low-carbon production. Results show th…
Kwakye, Ampong Dominic, Švadlenka, Libor, Molkova, Tatiana +1
This study proposes and evaluates an urban logistics system combining rail transport with low-emission last-mile delivery modes (electric vehicles, cargo bikes, crowdshipping). Using operational simulation and break-even analysis, it finds …
Xiaohang Ren, Zihui Sima, Farhad Taghizadeh‐Hesary +1
This paper proposes a CNN model using EUA chart images to predict carbon price trends. It converts price and volume data into pixel images for next-day and n-day cumulative predictions. The model outperforms traditional machine learning mod…
Browse by Topic