We investigate how green energy supply chain vulnerabilities (GESCV) amplify climate-related risk exposure among major energy firms across 36 countries from 2010 to 2023. Our benchmark model substantiates that GESCV amplifies corporate exposure to climate-related risks, with risk quantified using the Fama-French Three-Factor model. The adverse effects remain pronounced in developing countries, fossil fuel-based firms, and high-climate policy uncertainty groups. Mechanism-wise, GESCV heightens climate-related risk exposure by diminishing total asset turnover and worsening investment inefficiency. Further analysis reveals that governance quality is the only significant factor mitigating the detrimental link between GESCV and climate risk exposure, whereas women's political empowerment and environmental technologies exhibit minimal influence. Additionally, a difference-in-differences (DID) model confirms that the Paris Agreement has played a role in easing the negative consequences of GESCV on climate-related risk exposure. These findings underscore the need for governance enhancements, diversified supply chain strategies, and policy-driven investments in green technologies as essential measures to curb climate risks during the global energy transition.
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http://dx.doi.org/10.1016/j.jenvman.2025.124755 | DOI Listing |
Int J STD AIDS
March 2025
MAP Centre for Urban Health Solutions, St. Michael's Hospital, Toronto, ON, Canada.
BackgroundHepatitis B virus (HBV) disproportionately affects people at risk of HIV. Encounters for HIV post-exposure prophylaxis (PEP) create opportunities for HBV screening and prevention. We quantified HBV prevalence, susceptibility, and active/passive immunization use among patients seeking HIV PEP.
View Article and Find Full Text PDFDermatol Reports
March 2025
Oncology Center, Zhujiang Hospital of Southern Medical University, Guangzhou, Guangdong Province.
Skin cancer (SC) is a significant public health issue, with increasing incidence rates globally. Although environmental factors such as ultraviolet (UV) exposure are recognized risk factors, the impact of metabolites on SC development has not been thoroughly examined. This study seeks to explore the causal association between metabolites and SC risks using a Mendelian randomization (MR) approach.
View Article and Find Full Text PDFJAMA Psychiatry
March 2025
Center for Neuropsychiatric Schizophrenia Research (CNSR& Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research (CINS), Mental Health Centre Glostrup, Copenhagen University Hospital - Mental Health Services CPH, Copenhagen, Denmark.
Importance: Maternal inflammation during pregnancy has been associated with an increased risk of neurodevelopmental disorders (NDDs), such as attention-deficit/hyperactivity disorder (ADHD) and autism, and cognitive deficits in early childhood. However, little is known about the contributions of a wider range of inflammatory proteins to this risk.
Objective: To determine whether maternal inflammatory proteins during pregnancy are associated with the risk of NDDs and executive functions (EF) in middle childhood and to identify protein patterns associated with NDDs and EF.
JAMA Netw Open
March 2025
Department of Psychiatry, University of Oxford, Oxford, United Kingdom.
Importance: Epidemiological studies suggest that lifestyle factors are associated with risk of dementia. However, few studies have examined the association of diet and waist to hip ratio (WHR) with hippocampus connectivity and cognitive health.
Objective: To ascertain how longitudinal changes in diet quality and WHR during midlife are associated with hippocampal connectivity and cognitive function in later life.
JAMA Netw Open
March 2025
Department of Epidemiology, University of North Carolina at Chapel Hill.
Importance: Numerous efforts have been made to include diverse populations in genetic studies, but American Indian populations are still severely underrepresented. Polygenic scores derived from genetic data have been proposed in clinical care, but how polygenic scores perform in American Indian individuals and whether they can predict disease risk in this population remains unknown.
Objective: To study the performance of polygenic scores for cardiometabolic risk factors of lipid traits and C-reactive protein in American Indian adults and to determine whether such scores are helpful in clinical prediction for cardiometabolic diseases.
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