Evidence map›Paper›PMID 33405124›Full record

ArticleEnvironmental science and pollution research international2021

The role of information and communication technologies in mitigating carbon emissions: evidence from panel quantile regression.

Muhammad Khalid Anser, Munir Ahmad, Muhammad Azhar Khan, Khalid Zaman, Abdelmohsen A Nassani, Sameh E Askar, Muhammad Moinuddin Qazi Abro, Ahmad Kabbani

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In one paragraph

Article in Environmental science and pollution research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
39.0field-weighted citation impact, top 1% of its field
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

12 citing papers in PubMed, 158 citations in OpenAlex.

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  9. Does trade openness mitigate the environmental degradation in South Africa?Environmental science and pollution research international · 2022
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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

8 authors at 5 institutions in 4 countries.

Muhammad Khalid AnserSchool of Public Administration, Xi'an University of Architecture and Technology, Xi'an, 710000, China.
Munir AhmadSchool of Economics, Zhejiang University, Hangzhou, 310058, China.
Muhammad Azhar KhanDepartment of Economics, University of Haripur, Haripur, Khyber Pakhtunkhwa, Pakistan.
Khalid ZamanDepartment of Economics, University of Haripur, Haripur, Khyber Pakhtunkhwa, Pakistan. khalid_zaman786@yahoo.com.
Abdelmohsen A NassaniDepartment of Management, College of Business Administration, King Saud University, P.O. Box 71115, Riyadh, 11587, Saudi Arabia.
Sameh E AskarDepartment of Statistics and Operations Research, College of Science, King Saud University, P.O. Box 11451, Riyadh, 11587, Saudi Arabia.
Muhammad Moinuddin Qazi AbroDepartment of Management, College of Business Administration, King Saud University, P.O. Box 71115, Riyadh, 11587, Saudi Arabia.
Ahmad KabbaniDepartment of Management, Aleppo University, Aleppo, Syria.
King Saud University · SAUniversity of Haripur · PKUniversity of Aleppo · SYXi'an University of Architecture and Technology · CNZhejiang University · CN

Funding

King Saud University RSP-2020/167
6 · The paper itself

Abstract

The objective of the study is to analyze the dynamic linkages between technology factors and carbon emission in a panel of 26 selected European countries from 2000 to 2017. The results of the panel fixed-effect regression model show the monotonic increasing function between agriculture technology and carbon emissions. In contrast, panel quantile regression confirmed the inverted U-shaped 'Agriculture Technology Kuznets curve (ATKC)' of carbon emissions at 30th quantile distribution to 80th quantile distribution with the turning points of 12,60,000 tractors to 9,68,000 tractors, respectively. The results further exhibit the negative relationship between high-technology exports and carbon emissions, as high-technology exports have a positive impact on environmental quality in order to reduce carbon emissions across countries. The relationship between ICT goods exports and carbon emissions is complimentary, while R&D expenditures have a negative relationship with carbon emissions in a given period. The study substantiates the 'pollution haven hypothesis (PHH)' that is controlled by trade liberalization policies. The telephone and mobile penetrations have a differential impact on carbon emissions in both of the prescribed statistical techniques, which needs fair economic policies in order to delimit carbon emissions through green ICT infrastructure. The results further exhibit the 'material footprint' that is visible at the earlier stages of economic development while it is substantially decreasing at the later stages to verify 'environmental Kuznets curve (EKC)' hypothesis with a turning point of US$45,700. Finally, the study shows the positive relationship between industry value-added and carbon emissions that sabotaged the process of green development across countries. The study concludes that green ICT infrastructure is imperative for sustainable production and consumption, and climate change protection with cleaner production techniques and environmental regulations that reshape the international policies towards sustained growth.

Indexed as

CarbonCarbon DioxideCommunicationEconomic DevelopmentEuropeCarbonCarbon DioxideCarbon emissionsEuropean countriesGreen ICT infrastructureIndustry value-addedMobile-telephone-internet penetrationPanel quantile distribution

Identifiers

PMID33405124
OpenAlexW3120723697

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.