Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Utilities Policyarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Utilities Policy
Article . 2021 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
ZENODO
Article . 2021
Data sources: ZENODO
ZENODO
Article . 2021
Data sources: ZENODO
versions View all 5 versions
addClaim

The nexus between information technology and environmental pollution: Application of a new machine learning algorithm to OECD countries

Authors: orcid Cosimo Magazzino;
Cosimo Magazzino
ORCID
Harvested from ORCID Public Data File

Cosimo Magazzino in OpenAIRE
orcid bw Marco Mele;
Marco Mele
ORCID
Derived by OpenAIRE algorithms or harvested from 3rd party repositories

Marco Mele in OpenAIRE
Giovanna Morelli; orcid Nicolas Schneider;
Nicolas Schneider
ORCID
Harvested from ORCID Public Data File

Nicolas Schneider in OpenAIRE

The nexus between information technology and environmental pollution: Application of a new machine learning algorithm to OECD countries

Abstract

Abstract This paper examines the linkages among Information and Communication Technologies (ICT) penetration, electricity consumption, economic growth, urbanization, and environmental pollution for 25 OECD countries over the 1990–2017 period. We first conduct several panel data analyses and then write and apply a new Machine Learning (ML) algorithm. Empirical findings show that ICT usage enhances economic growth, and it is also a crucial driver of electricity consumption, which, in turn, translates into polluting emissions. The ML results highlight internet usage emerges as a substantial CO2 emissions-enabler, thus corroborating our panel data findings. Potential policy measures are discussed.

Country
Italy
Keywords

Internet usage; Electricity consumption; CO2 emissions; Urbanization; OECD; Panel data; Machine learning, Electricity consumption, CO2 emissions, Internet usage, OECD, Machine learning, information technology; environmental pollution; OECD; economic growth; electricity consumption; ML algorithm, Panel data

Powered by OpenAIRE graph
Found an issue? Give us feedback
visibility
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
93
Top 1%
Top 10%
Top 1%
5