Evidence map›Paper›PMID 33660175›Full record

ArticleEnvironmental science and pollution research international2021

Does fuel tax decrease carbon dioxide emissions in Turkey? Evidence from an asymmetric nonlinear cointegration test and error correction model.

Şahin Akkaya, Aycan Hepsag

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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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
9.5field-weighted citation impact, top 2% 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

4 citing papers in PubMed, 42 citations in OpenAlex.

  1. Article
  2. A comparative study of carbon tax and fuel tax based on panel spatial econometric model.Environmental science and pollution research international · 2022
    Article
  3. Article
  4. Dominance of Fossil Fuels in Japan's National Energy Mix and Implications for Environmental Sustainability.International journal of environmental research and public health · 2021
    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

2 authors at 1 institution in 1 country.

Şahin AkkayaDepartment of Public Finance, Faculty of Economics, Istanbul University, Beyazıt, Istanbul, Turkey. akkays@istanbul.edu.tr.
Aycan HepsagDepartment of Econometrics, Faculty of Economics, Istanbul University, Beyazıt, Istanbul, Turkey.
Istanbul University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Excise taxes on fuel consumption may serve an important role in the abatement of CO2 emissions. Fuel tax has been a significant revenue-raising tool in Turkey for years. The present paper investigates whether there is a relationship between carbon dioxide emissions and public revenues from excise taxes on fuel consumption in Turkey by employing an asymmetric nonlinear cointegration test and error correction model that is a novel methodology proposed by Hepsag Commun Stat-Simul Comp 50:400-412, (2021). We collect our sample that consists of annual data on CO2 emissions, GDP, and fuel tax in Turkey from 1985 to 2018. The empirical findings display that there exist relationships among economic growth, CO2 emissions, and fuel tax supporting the environmental Kuznets curve (EKC) hypothesis in the short and long run. However, we find out that fuel tax is statistically insignificant and has no impact on CO2 emissions. Because a significant carbon dioxide reduction is not possible by fuel taxation, by converting the excise tax on fuel consumption into a carbon tax, a considerable emission reduction can be provided efficiently.

Indexed as

Carbon DioxideEconomic DevelopmentTaxesTurkeyCarbon DioxideCarbon dioxide emissionEnvironmental Kuznets curveFuel taxNonlinear causalityNonlinear cointegration

Identifiers

PMID33660175
OpenAlexW3135828338

What OpenQuestion holds

Textmetadata
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Registered trials

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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.