This study revisits the nexus between energy consumption and economic growth by considering several energy use types (i.e., total energy, fossil fuel energy, and renewable energy). For this purpose, a dynamic fixed effects (DFE) estimator is applied to the autoregressive distributed lag (ARDL) model built on an extended version of the neoclassical production function. This study examines a global sample of 107 countries during 1996-2014, classified into three subsamples of countries based on income level. Overall, the findings show that, in the short run, the use of total energy and fossil fuel energy significantly and positively contribute to higher income in total and per-capita terms. However, the growth effects of renewable energy consumption appear to vary across subsamples. In the long run, the impacts of energy on economic growth are mostly insignificant, supporting the view that conservative energy policies do not harm economic growth.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.jenvman.2021.113351 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Evaluation of relationship between the language development and parental attitudes in children with cochlear implant.
Int J Pediatr Otorhinolaryngol
January 2025
Department of Audiology, Faculty of Health Science, Istanbul Aydin University, Istanbul, Turkey. Electronic address:
Objective: The primary aim of this study was to examine the relationship between parental attitudes and language development in preschool children with cochlear implants. In addition, the study aimed to examine parental attitudes in relation to socio-demographic and cochlear implant related variables.
Methods: This study is based on the relational survey model.
A deep learning tissue classifier based on differential Co-expression genes predicts the pregnancy outcomes of cattle.
Biol Reprod
January 2025
Inner Mongolia SK·Xing Animal Breeding and Breeding Biotechnology Research Institute Co., Ltd, Hohhot 011517, China.
Economic losses in cattle farms are frequently associated with failed pregnancies. Some studies found that the transcriptomic profiles of blood and endometrial tissues in cattle with varying pregnancy outcomes display discrepancies even before artificial insemination (AI) or embryo transfer (ET). In the study, 330 samples from seven distinct sources and two tissue types were integrated and divided into two groups based on the ability to establish and maintain pregnancy after AI or ET: P (pregnant) and NP (nonpregnant).
View Article and Find Full Text PDFImpact of climate change on the distribution of the citrus longhorned beetle Anoplophora chinensis (Coleoptera: Cerambycidae) and its host plants, Castanea mollissima and Castanea seguinii: a predictive analysis using optimized MaxEnt models.
J Econ Entomol
January 2025
Institute of Entomology, College of Agriculture, Yangtze University, Jingzhou, China.
The Anoplophora chinensis (Coleoptera: Cerambycidae) (Forster), a serious phytophagous pest threatening Castanea mollissima Blume and Castanea seguinii Dode, poses risks of ecological imbalance, significant economic loss, and increased management difficulties if not properly controlled. This study employs optimized MaxEnt models to analyze the potential distribution areas of A. chinensis and its host plants under current and future climate conditions, identifying their movement pathways and relative dynamics.
View Article and Find Full Text PDFMultispectral imaging-based detection of apple bruises using segmentation network and classification model.
J Food Sci
January 2025
College of Electronics and Engineering, Heilongjiang University, Harbin, China.
Bruises can affect the appearance and nutritional value of apples and cause economic losses. Therefore, the accurate detection of bruise levels and bruise time of apples is crucial. In this paper, we proposed a method that combines a self-designed multispectral imaging system with deep learning to accurately detect the level and time of bruising on apples.
View Article and Find Full Text PDFMapping the Washington Group on Disability Statistics disability measure to the Health Utilities Index Mark 3: Development and validation of a predictive multivariable model in a general population sample.
Health Rep
January 2025
formerly with the Health Analysis Division, Statistics Canada.
Background: Statistics Canada routinely collects information on functional health and related concepts. Recently, the Washington Group on Disability Statistics (WG) measure of disability has been introduced to the Canadian Community Health Survey (CCHS). The WG measure is used as a tool for developing internationally comparable data on disability.
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!