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 621–640 of 1027 papers
Liandi Zhang, Shenglin Ma, Yiyao Dai +1
This paper analyzes the impact of China's carbon emission trading pilot policy on energy eco-efficiency using SBM, DID, and spatial econometric models. It finds that the policy significantly improves regional eco-efficiency by reducing poll…
Samuel I. Egwunatum, Mercy Jane N. Ihekweme, Cornelius C. Molokwu +1
This study empirically examines the effectiveness of carbon trading in reducing CO2 emissions from Nigeria's construction sector, which contributes up to 37% of energy-related emissions. Using PCA on survey data from 200 professionals, it f…
Guo Yang
Using China's carbon emissions trading pilots as a quasi-natural experiment and panel data from 227 cities (2005-2020), this study employs a multi-period DID model to show that the pilots significantly promote regional innovation. Governmen…
Xiaoying Su, Donglan Zha, Yang Cao
This study quantitatively analyzes the trade-offs between household carbon emission reductions and welfare under China's personal carbon trading (PCT) system. It evaluates the balance between emission reduction effects and household burdens…
Eva Guinane, Shifa Gumuruh, T. Tran +2
This paper examines market-based policy interventions to improve the economic viability of e-fuels for decarbonizing aviation and shipping. It analyzes the impact of carbon pricing and subsidies on e-fuel cost competitiveness and proposes e…
Mohammad Imtiaz Hossain, Md Emon Ahmed, Mohammad Fakhrul Islam +3
Analyzing G7 economies from 2000 to 2020, this study finds that stricter environmental regulations and higher green tax revenues consistently reduce GHG emissions, while resource dependence amplifies emissions. Trade and globalization have …
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…
Browse by Topic