Evidence map›Paper›PMID 40071219›Full record

ArticleGlobal challenges (Hoboken, NJ)2025

Technological Innovation and Trade Orientation as Drivers of Renewable Energy Consumption: Panel Evidence from G7 Economies.

Minyan Yu, Umar Farooq, Mosab I Tabash, Abdullah A Aljughaiman, Abdulateif A Almulhim

Abstract read
In one paragraph

Article in Global challenges (Hoboken, NJ), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Minyan YuJiangxi Modern Polytechnic College Nanchang 330095 China.
Umar FarooqSchool of Economics and Finance Xi'an Jiaotong University Xi'an Shaanxi Province 710049 P. R. China.ORCID https://orcid.org/0000-0002-5772-5243
Mosab I TabashCollege of Business Al Ain University Al Ain 64141 United Arab Emirates.
Abdullah A AljughaimanFinance Department School of Business King Faisal university Al hafouf 31982 Saudi Arabia.
Abdulateif A AlmulhimFinance Department Business School king Faisal University Al hafouf 31982 Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent advancements in industrialization have sparked substantial interest among the academic community and policymakers regarding energy consumption. The consumption patterns of distinct energy types seem to be influenced by many national and international factors. In this essence, this study investigates the effects of technological innovation and trade orientation on renewable energy consumption (REC). Using panel data from G-7 economies from 2000 to 2019, Panel EGLS (estimated generalized least square) and ARDL (autoregressive distributed lag) models are employed to check the regression. The analysis reveals that both technological innovation and export orientation have a significant and positive impact on REC. In contrast, import orientation negatively affects REC. The results highlight that technological advancements and a focus on export-oriented trade strategies can significantly boost REC. Policymakers are encouraged to invest in research and development to advance renewable energy technologies and provide incentives for their adoption. These measures are crucial for achieving environmental sustainability and reducing pollution. The study provides valuable insights into how national and international trade dynamics influence renewable energy usage.

Indexed as

export orientationimport orientationrenewable energytechnological innovationtrade orientation

Identifiers

PMID40071219
PMCPMC11891557

What OpenQuestion holds

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LicenceCC BY
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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.