Evidence map›Paper›PMID 37942145›Full record

ArticleHeliyon2023

Clarifying the relationship between green investment, technological innovation, financial openness, and renewable energy consumption in MINT.

Md Qamruzzaman, Salma Karim

RetractedAbstract read
In one paragraph

Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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

Corrections and comments

  • Retraction · 2026-03-06Concerns/Issues about Referencing/Attributions · Investigation by Journal/Publisher · Unreliable Results and/or Conclusions ·
5 · Who and what money

Authors and funding

2 authors.

Md QamruzzamanSchool of Business and Economics, United International University, Dhaka, 1212, Bangladesh.
Salma KarimSchool of Business and Economics, United International University, Dhaka, 1212, Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The importance of Renewable energy has been well documented in the literature, especially in the nexus of renewable energy-led environmental sustainability. The purpose of the study is to gauge the effects of green investment (GI), technological innovation (TI), and financial Openness (FO) on Renewable Energy Consumption (REC) in MINT for the period 1996-2019. Several econometric tools have been considered in documenting the target nexus, including the panel unit root test following CADF and CIPS, Error correction Cointegration test, CS-ARDL, nonlinear ARDL, and directional causality test by employing the D-H Causality test. The panel unit root test revealed that all the variables become stationary after the first difference. The long-run association in the target model is unveiled with the panel cointegration test. A positive and statistically significant connection regarding FO, TI, and GI coefficients on REC has been exposed. It suggests that the progress in RE development and inclusion in economic activities could be amplified through FO, TI, and GI. Inferring the results of asymmetric valuation, the test statistics of a standard Wald test document asymmetric association in the long run and short run. Furthermore, the coefficients of positive and negative innovation in explanatory variables, i.e., TI, GI, & FO, divulge a positive statistically significant tie to REC, which is valid in long-run and short-run assessment.

Indexed as

Cross-sectional autoregressive distributed laggedFinancial opennessGreen investmentNonlinear autoregressive distributed laggedRenewable energy consumptionTechnological innovation

Identifiers

PMID37942145
PMCPMC10628657

What OpenQuestion holds

Textmetadata
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.