ArticleEnvironmental science and pollution research international2016
Is rapid growth in Internet usage environmentally sustainable for Australia? An empirical investigation.
Article in Environmental science and pollution research international, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
10 citing papers in PubMed.
- The impact of digital economic growth and financial expansion on CO2 mitigation strategies in leading emitting countries.Scientific reports · 2025Article
- Article
- The effect of transport services and ICTs on carbon dioxide emissions in South Africa.Environmental science and pollution research international · 2023Article
- ICT, renewable energy, financial development, and COEnvironmental science and pollution research international · 2022Article
- Analysis of the mechanism of the impact of internet development on green economic growth: evidence from 269 prefecture cities in China.Environmental science and pollution research international · 2022Article
- Article
- ICT, energy consumption, financial development, and environmental degradation in South Africa.Heliyon · 2021Article
- Information and communication technology (ICT) and environmental sustainability: a panel data analysis.Environmental science and pollution research international · 2020Article
- The effect of information technology on environmental pollution in China.Environmental science and pollution research international · 2019Article
- An analysis between financial development, institutions, and the environment: a global view.Environmental science and pollution research international · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study estimates the short- and long-run effects of Internet usage and economic growth on carbon dioxide (CO2) emissions using annual time series macro data for Australia for the period 1985-2012. Autoregressive distributive lag (ARDL) bounds and Gregory-Hansen structural break cointegration tests are applied. ARDL estimates indicate no significant long-run relationship between Internet usage and CO2 emissions, which implies that the rapid growth in Internet usage is still not an environmental threat for Australia. The study further indicates that higher level of economic growth is associated with lower level of CO2 emissions; however, Internet usage and economic growth have no significant short-run relationship with CO2 emissions. Financial development has both short-run and long-run significant positive association with CO2 emissions. The findings offer support in favor of energy efficiency gains and a reduction in energy intensity in Australia. However, impulse response and variance decomposition analysis suggest that Internet usage, economic growth and financial development will continue to impact CO2 emissions in the future, and as such, this study recommends that in addition to the existing measures to combat CO2 emissions, Australia needs to exploit the potential of the Internet not only to reduce its own carbon footprint but also to utilize information and communication technology (ICT)-enabled emissions abatement potential to reduce emissions in various other sectors across the economy, such as, power, renewable energy especially in solar and wind energy, agriculture, transport and service.
Indexed as
Identifiers
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.