Evidence map›Paper›PMID 32248413›Full record

ArticleEnvironmental science and pollution research international2020

Does an N-shaped association exist between pollution and ICT in Turkey? ARDL and quantile regression approaches.

Özge Barış-Tüzemen, Samet Tüzemen, Ali Kemal Çelik

Abstract read
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In one paragraph

Article in Environmental science and pollution research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. The effect of transport services and ICTs on carbon dioxide emissions in South Africa.Environmental science and pollution research international · 2023
    Article
  3. Article
  4. ICT, renewable energy, financial development, and COEnvironmental science and pollution research international · 2022
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. The effects of total factor of productivity, natural resources and green taxation on COEnvironmental science and pollution research international · 2020
    Article
  11. Value addition in the services sector and its heterogeneous impacts on COEnvironmental science and pollution research international · 2020
    Article
  12. Article
  13. Article
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.

Özge Barış-TüzemenGraduate School of Social Sciences, Department of Econometrics, Karadeniz Technical University, 61000, Trabzon, Turkey.
Samet TüzemenFaculty of Economics and Administrative Sciences, Department of Business Administration, Ardahan University, 75002, Ardahan, Turkey.
Ali Kemal ÇelikFaculty of Economics and Administrative Sciences, Department of Business Administration, Ardahan University, 75002, Ardahan, Turkey. alikemalcelik@ardahan.edu.tr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It is a debated issue that the influence of information and communications technologies (ICTs) on the environment is positive or negative in the literature. For instance, usage and disposal of ICTs may lead to environmental degradation and it may also increase carbon emission arising from electricity generation. However, ICT applications may contribute to environmental quality creating great opportunities for smarter cities, transport systems, electrical grids, and industrial processes. These two effects reveal the possible relationship of an inverted U-shaped association also known as the environmental Kuznets curve (EKC) hypothesis relationship between ICT and CO

Indexed as

Economic DevelopmentCarbonCarbon DioxideEnvironmental PollutionTurkeyCarbonCarbon DioxideARDLEconomic growthEnvironmental degradationICTsQuantile regression

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.