Evidence map›Paper›PMID 39567600›Full record

ArticleScientific reports2024

The impact of China-US technological innovation, transportation, and power generation on energy, environment, and economic growth sustainability.

Arshad Ali, Guo Xiangyu, Magdalena Radulescu, Abdelmohsen A Nassani

Erratum issuedAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Arshad AliSchool of Economics and Management, Northeast Agricultural University, Harbin, China.
Guo XiangyuSchool of Economics and Management, Northeast Agricultural University, Harbin, China. guoxiangyu1970@outlook.com.
Magdalena RadulescuDepartament of Finance, Accounting and Economics, National University of Science and Technology Politehnica Bucharest, Str. Targu din Vale, no.1, 110040, Pitesti, Romania.
Abdelmohsen A NassaniDepartment of Management, College of Business Administration, King Saud University, P.O. Box 71115, Riyadh, 11587, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

China and the United States have the highest demand for fossil fuel energy for transportation and power generation, which promotes growth while also damaging the environment. Policymakers, and environmental scientists, are increasingly interested in understanding key strategies to improve energy efficiency to mitigate fossil fuel energy demand and sustain the environment and growth. In this context, this study uses augmented mean groups (AMG) and common correlated effects mean group (CCEMG) estimators to reveal the impact of China-US technological innovation, transportation infrastructure, and power generation on fossil fuel energy demand and fossil fuel energy intensity from 1995 to 2020. Besides, the study examines whether fossil fuel energy use and fossil fuel energy intensity are the main drivers of carbon dioxide emissions (CO

Indexed as

CO2 emissionEconomic growthElectricity generationEnergy efficiencyTechnological innovationTransportation infrastructure

Identifiers

PMID39567600
PMCPMC11579502

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.