GX & Decarbonization Research

Sunil Kumar, Sushma Singha, Urvashi Shrivastava +1

This review synthesizes recent advances in green cement technologies for decarbonizing the cement industry, covering supplementary cementitious materials, waste-derived alternatives, energy-efficient manufacturing, and low-carbon innovation…

Anderson Yu

This paper proposes the Global ESG Evidence Architecture (GEEA), a seven-layer governance framework for organizing sustainability evidence flows. It identifies the Evidence Infrastructure Layer as the missing institutional layer and introdu…

Sevia Dian Saraswati, Ferry Irawan, Anda Dwiharyadi

This study systematically reviews the literature on sustainability reporting, greenwashing, transparency, and firm value. Analyzing 62 peer-reviewed articles, it finds that sustainability reporting can both reduce information asymmetry and …

W. Maroun, D. Ecim, A. Duboisee De Ricquebourg +1

This paper surveys the global landscape of sustainability assurance and discusses implications for the upcoming ISSA 5000 standard. It analyzes assurance quality, scope, and challenges, offering guidance for implementing the new internation…

Ying Wang, Junjie Chen, Yongshuai Zhou +3

This empirical study evaluates the spatio-temporal evolution of carbon removal capacity and carbon sink value of maricultured shellfish and algae in Shandong Province, China. It quantifies blue carbon value and highlights the contribution o…

Andrei Guter-Sandu

This paper explains the UK's success in mobilizing private capital for low-carbon infrastructure through 'levy-backed derisking,' analyzing Contracts for Difference, Capacity Market, nuclear RAB financing, and anticipatory transmission inve…

Gianluigi De Pascale, Luca Esposito, Melania Riefolo +1

This systematic review of 182 studies (1984-2025) maps wind energy externalities influencing willingness to pay (WTP). Findings show positive externalities (e.g., climate mitigation, jobs) increase WTP, while visual and noise impacts decrea…

Jingyi Xu, Minghui Cheng, Anchen Sun

This paper introduces BeDA, a multimodal large-language-model instrument, to audit corporate building-decarbonization disclosure. Applied to a global panel of 2,246 firms (2003-2023), it finds that only about one in five firm-reports disclo…

Muzi Chen, Difang Huang, Shouyang Wang +1

Firms covered by emissions trading systems need forecasts to value allowances and decide when to buy them. This paper tests whether EUA prices have short-horizon predictability that improves compliance procurement. Using daily data from 201…

Saira Baloch, Kaneez Fatima, Nadir Khan +2

This study analyzes the impact of ESG disclosure on accounting and market-based performance of 1,406 listed firms across 11 Asian economies from 2002 to 2023. Using panel regression, Granger causality tests, and SEM, it finds that ESG discl…

Dewasiri N.J.

This paper presents case studies of green bonds, renewable energy financing, and innovative funding models for sustainable projects. It analyzes how these mechanisms promote sustainable development and deliver returns to investors. The find…

Liu C.

This paper empirically examines how corporate greenhushing (underreporting of environmental initiatives) affects the cost of equity capital. Findings suggest that greenhushing increases perceived risk and raises the cost of capital, indicat…

Zwickl-Bernhard S.

This paper analyzes the impact of the EU Carbon Border Adjustment Mechanism (CBAM) on the LNG market, focusing on carbon price and uncertainty from major suppliers. It explores how CBAM may affect LNG pricing and supply security, highlighti…

Peixoto E.

This paper proposes an architecture for monitoring and reporting ESG indicators in AI-driven value chains. It automates data collection and analysis across the supply chain, facilitating stakeholder reporting. By leveraging AI, it enables m…

Iqra Mubeen, Samina Rauf

This paper investigates whether ESG sentiment generated by LLMs can predict portfolio risk. It finds that positive ESG sentiment correlates with lower volatility and downside risk, while negative sentiment increases risk exposure. LLMs outp…

Youxia Tong, Samuel Duku Yeboah, Michael Provide Fumey

This study uses 1996-2023 data from G7 economies to examine whether institutional quality protects against energy-related risks and promotes renewable energy adoption. Using quantile-on-quantile regression, it finds heterogeneous effects: J…

Zhongxiu Chen, Zhehao Huang, C ZHANG +1

This paper proposes a carbon price dynamics model combining jump-diffusion and higher-order hidden Markov switching. It captures price volatility and regime shifts in carbon markets, aiding forecasting and risk management.

Yunchao Zhuang, Kui Xu, Lingling Bin +4

This study evaluates global wind and solar energy sustainable development potential under climate change scenarios and explores regional joint optimization. It provides insights for renewable energy deployment planning and climate adaptatio…

Shuai Li, Pei Yu, Z J Yang +1

This supplement accompanies research applying machine learning (XGBoost, Bayesian optimization) to low-carbon concrete mix design. It includes material-stage emission factors, optimized hyperparameters, minimum-embodied-carbon candidate mix…

Brook Waldman, Jordan Palmeri, Kathrina Simonen +1

This paper proposes a theory of change for Buy Clean policies, linking interventions (e.g., EPD requirements) to outcomes like reduced embodied carbon and low-carbon market creation, and offers indicators for evaluating policy effectiveness…