GX & Decarbonization Research

Jiancheng Wang, P. Guo, Peng Hao +1

This paper proposes a hybrid ICEEMDAN-CNN-LSTM model for carbon emission trading price prediction. Using data from Hubei carbon market, the model outperforms LSTM and CNN-LSTM benchmarks with MAE reduction of 59.1%. The decomposition-extrac…

Yuanxiang Zhou, Huayan Liu, Xinyu Liu +2

This paper examines the impact of digital economy development on household energy burden inequality in China's low-carbon transition. Using CFPS panel data from 2012-2022, it finds that digital growth exacerbates inequality, particularly in…

Mohamed Chabchoub, Aida Smaoui, Amina Hamdouni

This study examines the impact of green innovation on carbon intensity and financial performance in critical mineral mining firms using panel data from 35 companies across five countries (2015-2024). Results show that green innovation reduc…

Yulin Li, Yongwen Liu, Yue Li

Using quantile regression and TVP-VAR extended to frequency domain, this study analyzes spillover effects among crude oil, China's carbon market, and new energy stocks (March 2018-April 2024). It finds asymmetric spillovers under extreme co…

Nicholas Fry, Omid Khajehdehi, Sara Hastings‐Simon +2

This study models the transition to geothermal energy networks (GENs) for decarbonizing heating and cooling in existing buildings in New York. Using a system dynamics approach integrating opinion dynamics, technology deployment constraints,…

Seng Yee Ow, Jafferi Jamaludin

This study applies the DEMATEL method to assess Malaysia's readiness for implementing an Emissions Trading System (ETS). It identifies strong government support, clear compliance mechanisms, and robust enforcement as critical success factor…

Mingfang Dong, Jiali Yu

This study examines the impact of China's National Green Industrial Parks (GIPs) on new energy technology innovation using a multi-period DID approach on panel data from 289 Chinese cities (2008-2023). Results show GIPs increase local new e…

C. Kim, H. Na

This study develops an AI-based screening framework using ESG ratings to predict corporate carbon emissions among Korean KOSPI-listed firms. Comparing ML and DL models, a hybrid ensemble of CatBoost, GAN, and Transformer outperforms individ…

Setyo Budi Kurniawan, Mahasin Maulana Ahmad, Dwi Sasmita Aji Pambudi +2

This review analyzes the transition from green port initiatives toward integrated blue-economy-oriented port systems. It finds that leading ports are evolving into energy hubs with shore power, renewable microgrids, and hydrogen infrastruct…

Muhammad Humayun, Emna Chikhaoui, Farida Saleem +2

This review comprehensively analyzes the socio-economic implications of the hydrogen economy transition, covering policy frameworks, technological advancements, and their impact on sustainable development. It highlights Saudi Vision 2030 an…

Daniel Icaza Alvarez

This paper reviews the prospects and long-term planning of hydrogen energy in the Americas. It analyzes technological advancements in green hydrogen production, cost projections, infrastructure needs, regulatory frameworks, and national/reg…

Linfang Yan, Ning Ding, Heng Zhou +5

This study constructs a life cycle assessment (LCA)-based carbon footprint (CF) model for transformers, quantifying CF at different rated voltages. The operation stage dominates CF, with electricity as the main source; steel and copper domi…

Heyan Tang, Hui Mao, Yuanyuan Cai

This paper uses micro-level data from rural Shaanxi to examine how aging affects energy transition. It finds that aging may slow the adoption of clean energy, offering policy implications for China's decarbonization.

Mikus Dzenis, Beate Zlaugotne, J. Gušča

This study develops an LCA-based computational framework for CO2 transport by trucks from a cement plant to ports in Latvia and Lithuania. It evaluates three scenarios and includes sensitivity analysis on fuel types and vehicle technologies…

Lijun Yang, Baiting Pan, D. Zheng +1

This paper proposes a Stackelberg game-based market trading framework for integrated energy markets involving an integrated energy producer, operator, and load aggregator. It quantifies user comfort and energy substitution behavior to balan…

Ji-Whan Kim, Yoon-Kyung Kim

This study estimates primary energy demand in Korea using LA-AIDS models with quarterly data from 2000-2021. It finds structural changes around the global financial crisis, making crude oil more price-sensitive while coal and natural gas be…

Amol Sainath Parde

This case study examines sustainable supply chain management at Cosmo Films Waluj in India, covering green procurement, energy efficiency, waste minimization, and supplier audits. The facility has reduced energy intensity and adopted recycl…

Shashwat Mishra, N. Sreenu

This paper conducts a bibliometric analysis of infrastructure finance in the power sector, reviewing 152 studies from 2010 to 2024. It identifies key clusters such as PPP governance and renewable energy financing, and uses New Institutional…

Kemalcan Aydogdu, Sebnem Duzgun

This paper proposes a data-driven methodology using global trade data and HS codes to assess supply chain transparency and resiliency. Transparency is classified into four levels, enabling Scope 3 GHG estimation and identification of high-e…

Valerie Livina, Hannah Cheales-Norman, M. Coleman +5

This paper systematically analyzes challenges in measuring and modeling Scope 1, 2, and 3 emissions, with a focus on Scope 3 uncertainties and a novel case study on Scope 2. It proposes a systematic approach for emission reporting.