It is a debated issue that the influence of information and communications technologies (ICTs) on the environment is positive or negative in the literature. For instance, usage and disposal of ICTs may lead to environmental degradation and it may also increase carbon emission arising from electricity generation. However, ICT applications may contribute to environmental quality creating great opportunities for smarter cities, transport systems, electrical grids, and industrial processes. These two effects reveal the possible relationship of an inverted U-shaped association also known as the environmental Kuznets curve (EKC) hypothesis relationship between ICT and CO. The objective of this study is to determine the structure of the relationship between environmental degradation and ICTs in Turkey for 1980-2017. The findings of the autoregressive distributed lag (ARDL) analysis indicate the validity of inverted N-shaped EKC hypothesis. However, the results of the quantile regression test are inconsistent with those of ARDL. When the coefficients from 30th to 95th quantiles are examined, it is observed that there is an inverted N-shaped relationship between ICT and CO, but these coefficients are not statistically significant. In addition, in the 95th quantile, coefficients of the square of ICT and ICT are statistically significant, contrary to the cube of ICT which is not. This reveals that the relationship between the variables is U-shaped.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1007/s11356-020-08513-w | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Composite quantile regression approach to batch effect correction in microbiome data.
Front Microbiol
February 2025
Department of Statistics, Seoul National University, Seoul, Republic of Korea.
Background: Batch effects refer to data variations that arise from non-biological factors such as experimental conditions, equipment, and external factors. These effects are considered significant issues in the analysis of biological data since they can compromise data consistency and distort actual biological differences, which can severely skew the results of downstream analyses.
Method: In this study, we introduce a new approach that comprehensively addresses two types of batch effects: "systematic batch effects" which are consistent across all samples in a batch, and "nonsystematic batch effects" which vary depending on the variability of operational taxonomic units (OTUs) within each sample in the same batch.
Long-term effects of PM and its components on incident hypertension among the middle-aged and elderly: a national cohort study.
BMC Public Health
March 2025
School of Public Health, Capital Medical University, No. 10 Xitoutiao, You'anmen Wai, Fengtai District, Beijing, 100069, China.
Background: The long-term health effects of fine particulate matter (PM) on hypertension remain incomprehensive. We evaluated the relationship of PM and its components with hypertension incidence in middle-aged and elderly adults.
Methods: We utilised data from the China Health and Retirement Longitudinal Study collected between 2011 and 2018.
Estimation of groundwater storage loss using surface-subsurface hydrologic modeling in an irrigated agricultural region.
Sci Rep
March 2025
Grassland Soil and Water Research Laboratory, USDA-ARS, Temple, TX, 76502, USA.
In the Mississippi alluvial plain (MAP) area, the demand for groundwater resources from the alluvial aquifer for agricultural irrigation has led to significant reductions in groundwater-level elevation over time. In this study, we use the hydrologic model SWAT + to quantify long-term changes in groundwater storage within the MAP in United States, wherein groundwater is used extensively for irrigation. We apply a linear quantile regression method to perform trend analysis for wet, dry, and average conditions for the 1982-2020 period.
View Article and Find Full Text PDFPoland's net-zero pathways: Moderating role of carbon tax and renewable energy on electricity generation through a novel multivariate quantile-on-quantile regression approach.
J Environ Manage
March 2025
Department of Economics and Statistics, University of Benin, Benin, Nigeria.
The global effort to meet the Paris Agreement's target of limiting global warming to 1.5 °C and achieving net-zero CO emissions by 2050 is currently off track, with Poland facing significant challenges related to energy inefficiency and rising CO emissions. In Poland, the energy sector is responsible for 43% of greenhouse gas emissions, with transportation and buildings contributing 19% and 16%, respectively (Brzeziński and Kolinski, 2024).
View Article and Find Full Text PDFImpact of Ethnicity on the Relationship Between Telomere Length and Metabolic Markers - a Multi-Ethnic Study from Kuwait.
J Clin Endocrinol Metab
March 2025
Department of Genetics and Bioinformatics, Dasman Diabetes Institute, Dasman 15462, Kuwait.
Objective: Telomere plays a critical role in maintaining genomic stability, and its length serves as a marker of cellular aging. Emerging evidence projects telomere length as a clinical risk factor for metabolic diseases. Our current study examines the associations between telomere length and demographic factors including metabolic health in a multi-ethnic cohort to provide insight into the impact of ethnicity on the potential use of telomere length as a biomarker for assessing diabetes risk.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!