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 16681–16700 of 20002 papers
Kaihua Wang, Yu Han, Bao-chang Xu +1
This study employs rolling-window estimation to analyze dynamic causalities between China's carbon emission price (CEP) and new energy industry (NEI). Results show CEP positively affects NEI during external shocks (e.g., COVID-19) but also …
Joana Žukauskienė, Vytautas Snieška
This study investigates the relationship between carbon tax revenue and GDP in the EU. While existing research focuses on emission reductions or social use of revenues, the impact on GDP remains unclear. This paper reveals the economic cons…
Ali Moridian, Fatemeh Havasbeigi, Magdalena Radulescu +2
This study examines the asymmetric impact of economic policy uncertainty (EPU) on CO2 emissions in 12 MENA countries (1995-2022) using a panel NARDL model. Both positive and negative EPU shocks increase emissions, while globalization reduce…
Yue Lin, Zhimin Lu, Huaiqing Qin +7
This paper proposes a bilevel multiobjective optimization model for regional integrated energy systems, using dynamic carbon emission factors and time-of-use pricing as demand response signals. The model achieves a 10.29% cost reduction and…
Jinning Lyu, Jinhui Ren, Shu Zhang +1
This study proposes a methodology for building a net-zero power system that accounts for future climate conditions. It combines data-driven forecasting with system adequacy assessment to analyze the impacts of climate change on power supply…
Xinqing Qiao, Wenping Wang
This paper proposes a damping-accumulating discrete grey power model for collaborative prediction of energy transition. It demonstrates the model's effectiveness and contributes to improving prediction accuracy.
Naufal Firdaus, Atina Husnaqilati
This study compares carbon price linkages with major commodities in Indonesia's nascent IDX Carbon market and the mature EU ETS using correlation analysis, clustering, random matrix theory, and VAR. Results show Indonesia's market is noise-…
Xiaoping Yang, Mengfan Zhang, Yilin Ma +2
This study examines whether China's carbon emissions trading policy (CETP) boosts foreign direct investment (FDI). Using panel data for 260 cities and a difference-in-differences approach, it finds that CETP significantly increases FDI infl…
Xinyu Wei, Fubin Xu, Weibing Shi +1
This study examines how divergence between local governments' environmental rhetoric and actual policy actions affects firm-level carbon emission intensity. Using matched city-firm panel data from China (2008-2015) with a two-way fixed effe…
Pierre Coster, Julian di Giovanni, Isabelle Méjean
This post presents evidence that French firms increased imports of high-emission inputs from outside the EU ETS, undermining the carbon tax's effectiveness and causing carbon leakage. The EU plans to implement a carbon tariff in 2026 to add…
N Heriyah, Putri.Alya, Mesa.Neng
This systematic review examines how public investment in renewable energy R&D interacts with geopolitical risks and economic uncertainty in the transportation subsector. Following PRISMA guidelines, 25 peer-reviewed studies (2010–2025) were…
Wei Tai, Qi Wang, Yi Tang +1
This paper proposes an Energy–Carbon–Cyber Collaborative Optimization (ECCO) framework for integrated energy systems that balances economic dispatch, carbon emission constraints, and cybersecurity against false data injection attacks. A bil…
Kai Sun, Xitao Fan
This paper develops a hybrid forecasting model for carbon emission allowance prices using China Carbon Emissions Trading Exchange data from July 2021 to March 2025. It integrates VMD-CEEMDAN decomposition, GARCH-MIDAS, and CNN-BiLSTM-Attent…
Juan Li, Yibo Li, Mei Sun +1
This study uses a multiregional CGE model and the 3E3S framework to analyze the provincial impacts of carbon taxes and emissions trading in China's cement industry. Policies reduce GDP but improve carbon intensity and CCS adoption, while wi…
Hà Kiều Oanh
This study examines determinants of policy effectiveness in attracting investment for energy transition projects in Vietnam. Using survey data from 296 stakeholders, it finds that infrastructure and administrative/governance capacity have s…
Adrián Ferreras
This paper examines how EU ETS allowance prices reshape the link between corporate environmental performance (CEP) and growth expectations (Tobin's Q). Using a panel of 1370 listed firms across 15 European countries from 2005 to 2024, it co…
Kuang-Yen Chung, Rong-Her Chiu
This study proposes a fuzzy multi-goal optimization model for green supply chain planning under carbon taxation and demand uncertainty. Using a real electronics supply chain case, it demonstrates that carbon taxes and green investments redu…
Samuel Emediong Akpan, Aniekan Offiong, Simeon Ozuomba +1
This paper critically reviews smart switching mechanisms for solar energy management, proposing a three-layered framework of Control Logic, Communication Architecture, and Optimization Targets. It identifies gaps between AI simulations and …
Yidi Wu, Wei Wang, Ping Chen +6
This study develops a bi-level simulation model to analyze the profitability of energy storage participating in electricity and carbon markets, and its contribution to cost reduction and emission reduction. The upper level optimizes pricing…
Xinglei Liu, Jun Liu, Lei Wu +3
This paper proposes a carbon-centric hybrid-game robust planning model for multiple integrated energy systems (IESs) under higher-order uncertainties. It integrates inter-IES Nash bargaining with dynamic carbon trading and intra-IES Stackel…
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