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

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

Masoudi Nasim; Dahmardeh Ghaleno Nazar; Esfandiari Marziyeh

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: CASPIAN JOURNAL OF ENVIRONMENTAL SCIENCES (CJES) Year:2020 | Volume:18 | Issue:2 Page(s): 97-107

Download Full-Text

Persian Verion

View:

651

Download:

257

Cites:

Information Journal Paper

Title

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

Author(s)

Masoudi Nasim | Dahmardeh Ghaleno Nazar | Esfandiari Marziyeh | Issue Writer Certificate

Keywords

Technological innovationQ3

Renewable energyQ3

Environmental pollutionQ3

QuantileQ3

Abstract

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 variables along the distribution of CO2 emissions is the same. Unlike previous studies, the present study will use the Quantile regression developed by Koenker & Bassett, which is not limited to the assumption. So that, the purpose of this study is to investigate the impacts of Technological innovation and Renewable energy on CO2 emissions in selected countries of the International Renewable energy Agency (IRENA) using Quantile regression over the period 1990-2016. The results of this study exhibited that the impact of Renewable energy on CO2 emissions was negative and statistically significant. This impact is also enhanced in high Quantiles (countries with high pollution). In all the studied Quantiles, the impact of Technological innovations on CO2 emissions was positive, significant and initially decreasing, while increasing again over time. The results of the symmetry test also indicated that by increasing in the volume of CO2 emissions, the variable impact of Renewable energy upraised. However, no incremental trend was observed in innovation.

Cites

No record.

References

No record.

Cite

APA: Copy

Masoudi, Nasim, Dahmardeh Ghaleno, Nazar, & Esfandiari, Marziyeh. (2020). 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. CASPIAN JOURNAL OF ENVIRONMENTAL SCIENCES (CJES), 18(2 ), 97-107. SID. https://sid.ir/paper/399670/en

Vancouver: Copy

Masoudi Nasim, Dahmardeh Ghaleno Nazar, Esfandiari Marziyeh. 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. CASPIAN JOURNAL OF ENVIRONMENTAL SCIENCES (CJES)[Internet]. 2020;18(2 ):97-107. Available from: https://sid.ir/paper/399670/en

IEEE: Copy

Nasim Masoudi, Nazar Dahmardeh Ghaleno, and Marziyeh Esfandiari, “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,” CASPIAN JOURNAL OF ENVIRONMENTAL SCIENCES (CJES), vol. 18, no. 2 , pp. 97–107, 2020, [Online]. Available: https://sid.ir/paper/399670/en

Related Journal Papers