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 641–660 of 1041 papers
Michael Pahle, Darius Sultani, G. Zachmann
The EU's post-2030 climate policy architecture needs simplification and flexibility, but fragmentation raises costs and undermines credibility. The author proposes linking different carbon pricing systems with exchange rates to converge tow…
Grayson Badgley, Freya Chay
This study evaluates the financial additionality of 74 pig manure offset projects in China, finding that 31% of anticipated credits (5.95 million tons) are likely non-additional because they ignore revenues from energy generation. The analy…
Abdulmuttalip Pilatin
This dataset provides EU green tax and energy transition data in STATA format, serving as a valuable resource for analyzing carbon pricing and energy policies.
Paula Navarro Sarmiento
This paper analyzes corrective taxation in commercial aviation, finding that lower-elasticity consumers are 7 times more price-sensitive than business consumers. Simulations of jet fuel taxes and a fixed per-flight tax in Denmark show that …
G. Ganzi, A. Pronti
This paper conducts a cost-benefit analysis of biochar production in a rural Italian regeneration project. It finds that biochar sales alone are insufficient, but integrating with voluntary carbon credits or the EU ETS makes the project fin…
Hou Bo
This article examines the economic dimensions of environmental sustainability in Ukraine during wartime reconstruction and EU accession. It analyzes market-based instruments such as emissions trading and carbon pricing as key levers for gre…
Pengyu Chen, Zhongzhu Chu, Yuhao Zhao
This study empirically examines the impact of Emissions Trading Systems (ETS) on physical climate risk using staggered difference-in-differences with global data (2000-2023). Results show ETS significantly reduces acute climate risks throug…
Yiming Liu, Lirong Xie, Yifan Bian +2
This paper develops a bi-level optimal scheduling strategy for hydrogen-containing integrated energy systems (H-IES) that incorporates a ladder-type carbon emission trading mechanism, demand response, and electric vehicle (EV) characteristi…
Xin Fang
This study models biomass, biogas, and diesel generators and proposes a multi-objective optimization framework incorporating carbon trading costs and subsidies. Using offline deep reinforcement learning (SAC, TD3, DDPG), it simultaneously o…
Hyunsung Cho, Yohan Lee
This study evaluates REDD+ call options from the perspective of tropical countries using the Black-Scholes model and geometric Brownian motion. It finds that while such options are rational for corporate investors, tropical countries are pr…
Wen Zhang, Dengfeng Li, Zhibin Wu +1
This paper proposes a parallel hybrid forecasting framework for economic dispatch in China's electricity market, addressing challenges from VRES variability and carbon price volatility. It integrates dynamic battery storage and ancillary se…
Yan Zhou, Haiying Zhou, Wenjuan Sui +1
This paper uses a Stackelberg game model to analyze vessel technology choices between shore power (SP) and low-sulfur fuel oil (LSFO) in a maritime supply chain under cap-and-trade. Key findings: LSFO dominates at low carbon prices while SP…
Xiaohui Yang, Yujin Tao, Yawen Chen +3
This paper proposes a local sharing framework integrating power, carbon allowances, green certificates, and ancillary services for clustered microgrids. Using bilevel optimization and multiagent deep reinforcement learning, a Dalian case st…
Mingke He, Yi Zhou, Yihan Qiao +2
This study uses a biform game model to analyze emission reduction cooperation among technologically complementary manufacturers under a cap-and-trade mechanism with price competition. Results show that high emission reduction investment coe…
(著者不明)
This paper develops a dual framework for valuing China Certified Emission Reductions (CCER). Micro-level endogenizes firm purchase decisions under uncertainty, deriving marginal willingness-to-pay. Macro-level uses a regime-switching GBM to…
Jean-Marie Grether, Marion Monney
This paper provides an accessible introduction to the economic rationale for carbon pricing, including carbon taxes and cap-and-trade systems. It explains how climate change is a market failure due to the absence of a price on emissions, an…
Yichen Zhang
This paper models a closed-loop supply chain with trade-in service and remanufacturing under carbon cap-and-trade policy, comparing regimes with and without government subsidy. It examines how parameters like customer profiles, residual val…
Marina Sánchez-Serrano, Guadalupe Arce, Jorge Zafrilla +1
This study analyzes the regional and generational vulnerabilities of households in Spain under a carbon tax, exploring compensation mechanisms to ensure a just transition. The findings inform equitable carbon pricing policy design.
Honggang Guo, Shuang Bi, Yu Jin +2
This study develops an interpretable feature optimization strategy using an improved multi-objective secretary bird optimization algorithm for carbon price prediction. It incorporates public social media big data capturing investor sentimen…
Lawal Adefunke Rofiat, Akeredolu Funsho Alaba, Sonibare Jacob Ademola +1
This study estimates GHG emissions for seven waste management scenarios in Lagos using IPCC guidelines. Transitioning to sustainable practices could generate ~631 million CERs worth USD 1.9 billion at 2024 prices.
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