Evidence map›Paper›PMID 34564809›Full record

ArticleEnvironmental science and pollution research international2022

Does ICT diffusion lead to energy efficiency and environmental sustainability in emerging Asian economies?

Shufang Zhao, Muhammad Hafeez, Chaudhry Muhammad Nadeem Faisal

Abstract read
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In one paragraph

Article in Environmental science and pollution research international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. Review
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  9. International tourism, digital infrastructure, and COEnvironmental science and pollution research international · 2022
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Shufang ZhaoInstitute of Computer Science and Technology, Taiyuan University of Science and Technology, Taiyuan, 030024, Shanxi, China.
Muhammad HafeezFaculty of Management and Administrative Sciences, University of Sialkot, Sialkot, Punjab, 51040, Pakistan. hafeez_86@hotmail.com.ORCID http://orcid.org/0000-0001-7231-5413
Chaudhry Muhammad Nadeem FaisalDepartment of Computer Science, National Textile University, Faisalabad, 37610, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The role of information and communication technology (ICT) is imperative in the transformation of the world. ICT is directly affecting all the sectors of the whole economy. Thus, the present study is determined to investigate the effect of ICT on energy efficiency and environmental sustainability in emerging Asian economies from 1990 to 2019. The panel augmented autoregressive distributed lag-pooled mean group approach has been used for empirical investigation. Two separate models have been designed to attain the empirical consensus. ICT is measured through two proxies namely broadband subscriptions (internet) and mobile cellular subscriptions (mobile). Results show that internet and mobile upsurge the energy efficiency in the long run. However, internet and mobile have a reducing impact on carbon emissions in the long run. While FDI enhances energy efficiency and reduces carbon emissions inferring that environmental efficiency improves in the long run. The study suggests that policymakers must be aware of the impact of ICT on energy efficiency and environmental quality and regulate their manufacturers to enable the amalgamation of ICT into users' routines.

Indexed as

Conservation of Energy ResourcesEconomic DevelopmentCarbon DioxideCommunicationInformation TechnologyRenewable EnergyCarbon DioxideEmerging Asian economiesEnergy efficiencyEnvironmental sustainabilityICT diffusion

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.