Evidence map›Paper›PMID 38285262›Full record

ArticleEnvironmental science and pollution research international2024

The interaction between remittance, FDI, renewable energy, and environmental quality: a panel data analysis for the top remittance-receiving countries.

Azer Dilanchiev, Arshian Sharif, Hicham Ayad, Alina Cristina Nuta

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Article in Environmental science and pollution research international, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

4 authors.

Azer DilanchievDepartment of Economics, International Black Sea University, Tbilisi, Georgia.ORCID http://orcid.org/0000-0002-9899-6621
Arshian SharifDepartment of Economics and Finance, Sunway Business School, Sunway University, Subang Jaya, Malaysia.ORCID http://orcid.org/0000-0002-1155-4151
Hicham AyadLEPPESE Laboratory, University Centre of Maghnia, Maghnia, Algeria.ORCID http://orcid.org/0000-0003-1624-3456
Alina Cristina NutaSchool of Economics and Business Administration, Danubius University, Galati, Romania. alinanuta@univ-danubius.ro.ORCID http://orcid.org/0000-0003-3248-644X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A country's financing system is essential in addressing sustainable development requirements. National sources and international financial flows contribute to economic growth and environmental quality in many ways, and their impact can be critical. This paper applied panel data analysis using a comparative approach of Pooled Mean Group Auto Regressive Distribute Lags (PMG-ARDL) and Cross Sectionally ARDL (CS-ARDL) to estimate the effects of FDI, renewable energy, and remittance on environmental quality in the top remittance-receiving countries, during 2000-2021. The study emphasized the positive relationship between FDI and carbon emissions. Moreover, renewable energy and remittances revealed an inverted U-shaped relationship with carbon emissions. In the case of developing countries from the panel, remittance improves environmental quality after reaching the threshold. Moreover, for some of the developing countries included in the panel, we found that they do not achieve the desired carbon mitigation effect in their early stages of renewable energy implementation. However, renewable energy becomes a key factor for tackling environmental pollution after a certain threshold. The mixed results determined diverse policy recommendations for various stakeholders.

Indexed as

CarbonEconomic DevelopmentCarbon DioxideData AnalysisEnvironmental PollutionRenewable EnergyCarbonCarbon DioxideCarbon emissionsEconomic growthFinancial expansion

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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.