Evidence map›Paper›PMID 35749454›Full record

ArticlePloS one2022

Roles of natural resources, globalization, and technological innovations in mitigation of environmental degradation in BRI economies.

Abdul Majeed, Chengang Ye, Ye Chenyun, Xu Wei, Muniba

Abstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. 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

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.

Abdul MajeedBusiness School, Huanggang Normal University, Huanggang, Hubei, China.ORCID 0000-0001-5231-8756
Chengang YeBusiness School, Huanggang Normal University, Huanggang, Hubei, China.
Ye ChenyunSchool of Accounting, University of Shandong Management, Jinan, China.ORCID 0000-0002-5618-6970
Xu WeiAccounting School, Hubei University of Economics, Wuhan, China.
MunibaSchool of Insurance and Economics, University of International Business and Economics, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The environmental issue has become a global problem that needs to be examined frequently, motivating researchers to investigate it. Thus, the present study has investigated the asymmetric impact of natural resources, technological innovation, and globalization on the ecological footprint in the presence of environmental Kuznets curve (EKC) in Belt and Road Initiative (BRI) economies. This research divided the BRI economies into high income, middle-income, and low-income levels to capture income differences. The study has used annual time series data from 1990 to 2018. The study applied a novel Augmented Mean Group estimators method to calculate the robust and reliable outcomes. The findings show that natural resources drastically damage the environment quality, whereas technological innovations are helpful in reducing environmental degradation. Moreover, the result of the interaction term (natural resources and technological innovations) negatively impacts the ecological footprint. Interestingly, these findings are similar in the three income groups. In addition, globalization improves environmental quality in the middle-income BRI economies but reduces in high-income, low-income, and full sample countries. Furthermore, the Environmental Kuznets Curve (EKC) concept has been validated across all BRI economies. In line with these findings, several relevant policies are recommended for a sustainable environment in the BRI economies.

Indexed as

Economic DevelopmentRenewable EnergyCarbon DioxideInternationalityInventionsNatural ResourcesCarbon Dioxide

Identifiers

PMID35749454
PMCPMC9231710

What OpenQuestion holds

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LicenceCC BY
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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.