Analyzing the effects of digitalization on CO2 emissions in a global context

Clicks: 1
ID: 285777
2021
Free PDF
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal

Ranked #2,712 of 3,757 articles by views in Malay Journal

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 3,757 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
Existing research in the digitalization’s effects on carbon dioxide emissions mostly consists of qualitative studies and does not work with an economic theoretical framework. This paper aimed to address that gap through investigating their relationship using an externality framework. This study employs panel data for dataset of 58 countries for the period 2007 to 2018. The study used a 2SLS panel data model, to measure this relationship. The results indicate that digitalization influences carbon dioxide emissions through GDP. Digitalized GDP changes to negatively affect the volume of carbon dioxide emissions a country produces. Digital exports, mobile subscribers, and fixed broadband subscribers contributed to digitalized GDP. Digital exports, however, were shown to be the most significant digitalization variable which affected GDP. To improve digitalization’s effects on carbon dioxide, it is important to channel more investments into digital exports.
Reference Key
persistent_1760656628_68f17cf4af65a Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Mercado, Jose Lorenzo P.
Journal Malay Journal
Year 2021
DOI
DOI not found
URL
https://animorepository.dlsu.edu.ph/etdb_econ/18
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.