This study analyzed the relationship between economic growth and emissions of eight environmental air pollutants (carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), nitrogen oxide (NOx), sulfur oxide (SOx), carbon monoxide (CO), non-methane volatile organic compound (NMVOC), and ammonia (NH3)) in 39 countries from 1995 to 2009. We tested an environmental Kuznets curve (EKC) hypothesis for 16 individual industry sectors and for the total industrial sector. The results clarified that at least ten individual industries do not have an EKC relationship in eight air pollutants even though this relationship was observed in the country and total industrial sector level data. We found that the key industries that dictated the EKC relationship in the country and the total industrial sector existed in CO2, N2O, CO, and NMVOC emissions. Finally, the EKC turning point and the relationship between economic development and trends of air pollutant emissions differ among industries according to the pollution substances. These results suggest inducing new environmental policy design such as the sectoral crediting mechanism, which focuses on the industrial characteristics of emissions.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1007/s11356-015-5523-2 | DOI Listing |
Health Promot J Austr
January 2025
Australian Institute of Primary Care and Ageing, La Trobe University, Bundoora, Victoria, Australia.
Energy hardship is increasingly recognised as a significant determinant of health, with evidence linking it to numerous negative health and wellbeing outcomes. The association between energy hardship and public health raises questions about what roles the health sector can or should play in addressing the issue. While there are limited examples in the literature, the role of health sectors to date has been predominantly as an intermediary connecting eligible individuals to energy hardship interventions, such as financial counselling and household upgrades to improve energy efficiency.
View Article and Find Full Text PDFJ Health Organ Manag
January 2025
University of Malta, Msida, Malta.
Purpose: This study explores how corporate social responsibility (CSR) and artificial intelligence (AI) can be combined in the healthcare industry during the post-COVID-19 recovery phase. The aim is to showcase how this fusion can help tackle healthcare inequalities, enhance accessibility and support long-term sustainability.
Design/methodology/approach: Adopting a viewpoint approach, the study leverages existing literature and case studies to analyze the intersection of CSR and AI.
Microbiome
January 2025
National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China.
Background: Antimicrobial resistance poses a significant threat to global health, with its spread intricately linked across human, animal, and environmental sectors. Revealing the antimicrobial resistance gene (ARG) flow among the One Health sectors is essential for better control of antimicrobial resistance.
Results: In this study, we investigated regional ARG transmission among humans, food, and the environment in Dengfeng, Henan Province, China by combining large-scale metagenomic sequencing with culturing of resistant bacterial isolates in 592 samples.
ACS Nano
January 2025
Department of Chemical and Biomolecular Engineering, National University of Singapore, 117585 Singapore.
C aromatic isomers, namely para-xylene (PX), meta-xylene (MX), ortho-xylene (OX), and ethylbenzene (EB), are essential industrial chemicals with a wide range of applications. The effective separation of these isomers is crucial across various sectors, including petrochemicals, pharmaceuticals, and polymer manufacturing. Traditional separation methods, such as distillation and solvent extraction, are energy-intensive.
View Article and Find Full Text PDFEnviron Sci Pollut Res Int
January 2025
Central Pollution Control Board, MoEF & CC, Government of India, New Delhi, India.
The swift industrial expansion has posed significant environmental challenges, particularly in the context of water pollution. Industrial effluents consist of substantial amounts of harmful pollutants that enter the main rivers via various tapped and untapped drains/local water streams, causing alterations in their physical and chemical properties. This study investigated 153 grossly polluting industries (GPIs) that were identified to release their effluents into the main rivers through different drains within multiple sectors in the industrial zone of four northern states of India in 2023.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!