Investigating the impacts of technological innovation and renewable energy on environmental pollution in countries selected by the International Renewable Energy Agency: A quantile regression approach
Investigating the factors affecting CO2 emissions has always been a challenge. One problem with existing studies is that these studies have been relied on mean-based regression approaches, such as ordinary least squares (OLS) or instrumental variables, which implicitly assumes that the impact of var...
Main Authors: | Nasim Masoudi, Nazar Dahmardeh Ghaleno, Marziyeh Esfandiari |
---|---|
Format: | Article |
Language: | English |
Published: |
University of Guilan
2020-04-01
|
Series: | Caspian Journal of Environmental Sciences |
Subjects: | |
Online Access: | https://cjes.guilan.ac.ir/article_4066_6b7b6667954350991c0caab6b2aeec08.pdf |
Similar Items
-
Dynamic nonlinear impacts of fossil energy on renewable energy stocks: A quantile perspective
by: Xing Li, et al.
Published: (2022-11-01) -
The impact of technological innovation on renewable energy production: accounting for the roles of economic and environmental factors using a method of moments quantile regression
by: Sakiru Adebola Solarin, et al.
Published: (2022-07-01) -
How Does Renewable Energy Consumption Affect Environmental Quality in Saudi Arabia? Evidence from Quantile Regressions
by: Mehdi Abid
Published: (2023-07-01) -
Green Jobs in the EU Renewable Energy Sector: Quantile Regression Approach
by: Łukasz Jarosław Kozar, et al.
Published: (2022-09-01) -
The heterogeneity of renewable energy consumption, carbon emission and financial development in the globe: A panel quantile regression approach
by: Hayat Khan, et al.
Published: (2020-11-01)