Evidence map›Paper›PMID 39055803›Full record

ArticleHeliyon2024

Carbon taxation on high utility transport fuels: An implementation of enviro-economic analysis for the sustainable environment".

Muhammad Usman, Amna Malik, Hafiz Zahid Nabi, Muhammad Imran Masood, Muhammad Mujtaba Abbas, Yasser Fouad, Fayaz Hussain, Atika Qazi

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Muhammad UsmanDepartment of Mechanical Engineering, University of Engineering and Technology, GT Road Lahore-54890, Pakistan.
Amna MalikDepartment of Mechanical Engineering, University of Engineering and Technology, GT Road Lahore-54890, Pakistan.
Hafiz Zahid NabiDepartment of Mechanical Engineering, University of Engineering and Technology, GT Road Lahore-54890, Pakistan.
Muhammad Imran MasoodDepartment of Engineering and Aviation UHI Perth, Crieff Road, Perth, PH1 2NX, UK.
Muhammad Mujtaba AbbasDepartment of Mechanical Engineering, University of Engineering and Technology, GT Road Lahore-54890, Pakistan.
Yasser FouadDepartment of Applied Mechanical Engineering, College of Applied Engineering, Muzahimiyah Branch, King Saud University, P.O. Box 800, Riyadh, 11421, Saudi Arabia.
Fayaz HussainModeling Evolutionary Algorithms Simulation and Artificial Intelligence, Faculty of Electrical and Electronics Engineering, Ton Duc Thang University, Ho Chi Minh City, Viet Nam.
Atika QaziCentre for Lifelong Learning Universiti Brunei Darussalam Gadong BE, Brunei.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The humongous increase in carbon emissions in the past few decades presents an environmental challenge to the scientific community. The current study proposes a method of taxation on high-carbon emission fuels. For this purpose, a comparative enviro-economic analysis is carried out on the three most commonly used fuels (gasoline, Liquefied Petroleum Gas (LPG), and Compressed Natural Gas (CNG)). The speed of the test engine varied from 1800 to 4200 Revolution per Minute (RPM) in increments of 400 RPM. Performance parameters (Brake Power (BP), Brake Thermal Efficiency (BTHE), and Brake Specific Fuel Consumption (BSFC)) were measured using a hydro dynamometer. Emission analysis, including Carbon Dioxide (CO

Indexed as

Carbon penaltyCarbon taxationEnviro-economic investigationSustainable development goalsWeibull distribution

Identifiers

PMID39055803
PMCPMC11269861

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.