GX & Decarbonization Research

Xinzi Xia, Jianxiang Zhang, Peng Xiao

Using recruitment big data matched to Chinese listed firms and subsidiaries (26,439 firm-year observations, 2014-2023), we show that parents facing higher climate risk rarely relocate registered locations but shift employment toward lower-r…

Yency C. Chavarro-Valenzuela, Luisa Fernanda Yustres Quintero, Saieth Baudilio Chaves-Pabón

This study examines integrating Nature-based Solutions (NbS), solar energy, and territorial planning for climate risk management in vulnerable communities of La Guajira, Colombia. Using hydrometeorological analysis, GIS, and multivariate st…

Yu Z.

This paper appears to examine inconsistencies in ESG performance and disclosure in the context of weather extremes. It likely explores why firms' climate responses diverge under physical risk. Details are unavailable as no abstract was prov…

Verdonck M.L.

This study assesses future heat risk in the Brussels capital region under combinations of urban planning choices and greenhouse gas emission scenarios. It suggests that urban form and greening decisions materially shape heat exposure under …

Irfana Rahma Dzikria, R. Hakim

Using a 2016–2025 panel of Canadian non-financial firms in four high-emission sectors (Energy, Materials, Transportation, Utilities), this study tests whether carbon risk (emission intensity) relates to accounting conservatism (Khan–Watts m…

Sarina Achterfeldt, Suzana Ostojic, Leon Hansen +1

This study proposes a database-integrated framework to support EU Taxonomy-aligned physical climate risk and vulnerability assessments in the energy sector. Using a systematic literature review and Copernicus climate data, it identified 4,4…

Yue Guo, Yangyulong Wu

Using 54,389 Chinese A-share firm-year observations (2000–2023), this study finds higher firm-level climate risk significantly lowers the probability of initiating cross-border M&A. Channels include reduced firm value and resource reallocat…

Daniel R. Oros

This paper argues emergency management must shift from crisis response toward climate-informed risk reduction by integrating adaptation and nature-based solutions (NBS). Synthesizing interdisciplinary literature and policy frameworks, it as…

(著者不明)

This study examines how spatial linkages of carbon balance (CB) influence urban resilience (UR) using a spatial machine learning approach. Integrating XGBoost and GeoShapley, it analyzes the Yangtze River Delta to reveal nonlinear and thres…

(著者不明)

This study analyzes how climate change exposure and biodiversity risk jointly affect the operational performance of 643 US firms from 2007 to 2022, focusing on dynamic productivity change. Both risks hinder firm performance, with their join…

(著者不明)

Using panel data on Chinese A-share listed firms (2013–2024), this study links corporate climate risk attention (CRA), derived from annual-report text, to corporate carbon lock-in (CCL). Fixed-effects estimates show CRA is significantly neg…

Udo Nehren, Ali Cara Barrett, Paola Saenz Quiros +1

This study maps, categorizes, and qualitatively evaluates existing and planned nature-based solutions (NbS) for flood risk mitigation in the Cologne District, Germany, using GIS analyses including the Topographic Wetness Index. It identifie…

Colin Manning, Sean Wilkinson, Jaise Kuriakose +6

Drawing on interviews and roundtables with GB electricity and gas network experts, this paper examines how climate science, industry practice, and policy expertise can be integrated into strategic resilience planning. It presents five build…

ISHOLA Akinwale Victor, ANYA Anya Adebayo, ANYA kelechi Adura +1

This paper compares how AI is integrated into climate governance in the UK and Africa and its implications for environmental justice. The UK shows relatively integrated policy and institutional capacity, while many African contexts face inf…

Yan Yang, Jinyu Chen, Wenjun Xie +3

An empirical study examining how firms' perception of climate risk translates into corporate environmental responsibility (CER), viewed through the lens of performance feedback. It suggests that whether performance exceeds or falls short of…

Jiroj Buranasiri, Prajya Ngamjan, Nuttawaree Ratchpiboon

This study compares machine learning (ANN, Random Forest, XGBoost) and traditional statistical models (logistic regression, etc.) for predicting credit rating downgrades of Thai non-financial firms. Logistic regression excels in risk rankin…

Jingwen Li, Shule Li

This study quantifies direct and spatial spillover effects of compound climate extremes on tourism demand in Sichuan, China, using ERA5 reanalysis and municipal panel data. Prolonged droughts reduce local tourism, while wet-hot events cause…

Ali Taha Yaseen

This study examines the impact of sustainability and climate risk disclosure on financial reporting quality from the perspective of Iraqi auditors. Based on a survey of 210 auditors, both types of disclosure positively correlate with report…

Anna Chiara Brusco, Michele Turco, Patrizia Piro

This study proposes an integrated framework to predict hydrological response of substrates in urban nature-based solutions (NBS), combining HYDRUS-1D simulations with machine learning and statistical analysis. Monte Carlo simulations identi…

Zhao-Sheng Mao, Yan-Ling Zhao, Miao-Jie Wang

Using panel data from 4,610 Chinese A-share listed firms (2014-2023), this study shows that climate-related physical risks significantly increase corporate supply chain risk levels. It identifies herd behavior, off-site investment, and fina…