GX & Decarbonization Research

A. Sunitha, K. Srinivas, T.Radhika, B.Chandrakala Naik, P. Sandya Rani

This study examines how AI, big data analytics, and FinTech innovations affect ESG disclosure quality and corporate transparency, using survey data from 312 professionals in India, UAE, and UK, analyzed via PLS-SEM. Results show all three d…

A. Sunitha, K. Srinivas, T.Radhika, B.Chandrakala Naik, P. Sandya Rani

This paper empirically examines the combined impact of AI, big data, and fintech on ESG disclosure quality and corporate transparency using PLS-SEM on a sample of 312 professionals from India, UAE, and UK. Results show all three digital con…

Abdullah Albizri, Ahmad Jumah

This study develops a large language model (LLM) approach to measure firms' conformity with the TCFD framework from unstructured sustainability reports. Analyzing a sample of U.S.-listed firms, it finds that higher TCFD conformity is associ…

Shah Room

This scientometric review evaluates biochar (BC) as a carbon-negative additive in cement-based composites. BC at 1-2% improves mechanical properties, while >5-6% reduces performance. BC enhances microstructure via internal curing and pore r…

Kushagra Gupta

This thesis analyzes the impacts of policy-driven decarbonization measures on urban energy systems and the distribution of co-benefits, using Gothenburg, Sweden as a case study. Using the TIMES model, it projects long-term technology deploy…

Vijay Kumar

This paper examines the dual role of AI in sustainability: as an enabler of resource efficiency and green transition, and as a consumer of energy and resources. It discusses the Green AI movement prioritizing energy-efficient algorithms ove…

Angelyn Fairchild

This dissertation provides three empirical studies on corporate decarbonization: only <20% of global firms reduce emissions efficiently. Stringent targets and top management control, but not carbon pricing, are linked to more impactful clim…

Brynjar Arnfinnsson, Inger Sofie Landgraff, Kristian Blindheim Lausund

This paper argues that military organizations can benefit from carbon budgeting despite geopolitical tensions. Drawing on civilian best practices and Norwegian Armed Forces experience, it shows that carbon budgets reduce climate risks and c…

Rosie Collington, Jacob Hasselbalch

This paper introduces the concept of 'epistemic derisking' to describe how government energy models and scenarios serve as knowledge infrastructures to attract private capital for renewable energy. Based on interviews and document analysis …

Daril Alberto Cela Cedeño, Mario Hermel Benavides

This report presents the results of an exercise conducted as part of the Osemosys training program. It models energy transition scenarios for Ecuador up to 2050, assessing the potential of renewable resources.

Lea Gathen

This dissertation examines how narratives, policy frameworks, and actor perspectives shape the transition to e-mobility in Lower Saxony, Germany. It finds that fragmented responsibilities and limited institutional capacities hinder effectiv…

Atangana Ondoa Henri, Ngobo Philibert Junior

This paper examines the impact of energy transition on tax revenue mobilization in 52 developing countries from 2000-2019 using a novel Multidimensional Energy Development Index. Results show a significant positive relationship with all tax…

Feng Y., TSIAMAS K., FOSTER A. +2

This paper assesses the impact of transitioning from oil and gas to electricity in the European food supply chain. It likely examines the decarbonization potential and challenges for the food sector's energy transition.

Ugo Rizzo, nicolò barbieri

This paper analyzes Ireland's twin transition integrating digitalization and decarbonization, focusing on data centers as major electricity consumers. It examines policy frameworks, governance, and implementation challenges, concluding that…

Deepak Gupta, Ziyodullayev Sodiq, Matkarimov Mansur +4

This chapter examines the convergence of AI and climate finance, exploring machine learning for climate risk modeling, deep learning for ESG rating accuracy, NLP for climate disclosure extraction, and predictive models for transition risks.…

Hakpyeong Kim, Jeong IL. Park, Taehoon Hong +1

This study uses longitudinal input-output analysis to examine structural dynamics in the renewable energy economy, aiming to support a resilient energy transition.

Christine Cadigan

This paper examines the effectiveness of voluntary carbon markets for family forest owners (FFOs) in the United States. Using the Family Forest Carbon Program developed by AFF and TNC as a case study, it demonstrates how market-based conser…

Elif Duygu Kömürcüoğlu, Ömer Faruk Kömürcüoğlu

This study examines the effects of green fiscal policy instruments (environmental taxes, policy stringency) on climate pressure in EU-15 countries from 1995-2019 using a multidimensional climate index derived via PCA. Using the MMQR approac…

Ying Yu

This study compiles an 8-year county-level panel dataset to estimate the disproportionate impacts of temperature on energy burdens for vulnerable U.S. communities. It builds an interdisciplinary framework combining machine learning and remo…

Victor Brun, Marine Lecerf, Olivia Le Gouvello +16

This paper highlights three challenges to marine carbon dioxide removal (mCDR): knowledge gaps, ecological and social risks, and inadequate governance. It argues that until these challenges are addressed, mCDR should not be considered a sca…