Evidence map›Paper›PMID 33893914›Full record

ArticleEnvironmental science and pollution research international2021

Does financial stability and renewable energy promote sustainable environment in G-7 Countries? The role of income and international trade.

Adnan Safi, Salman Wahab, Faheem Zeb, Maaz Amin, Yingying Chen

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Article in Environmental science and pollution research international, 2021. 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

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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.

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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

5 authors.

Adnan SafiSchool of Economics, Qingdao University, Qingdao, Shandong Province, China.
Salman WahabSchool of Economics, Qingdao University, Qingdao, Shandong Province, China. Maanwahab94@gmail.com.
Faheem ZebBusiness School, Qingdao University, Qingdao, Shandong Province, China.
Maaz AminSchool of Economics, Qingdao University, Qingdao, Shandong Province, China.
Yingying ChenSchool of Economics, Qingdao University, Qingdao, Shandong Province, China. yingyingchen@qdu.edu.cn.ORCID http://orcid.org/0000-0002-8772-5228

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Financial stability is of great importance especially in the context of achieving sustainable environment. The objective of this study is to fill the research gap in this area by introducing financial stability, international trade, renewable energy, and income as novel determinants of consumption-based carbon emissions. The present study is based on G-7 economies, and the time period is from 1990 to 2018. The present study employed advanced econometric techniques that can deal with problems of slope homogeneity and cross-section dependence. The cointegration analysis results show a stable long-run association between financial stability, renewable energy, international trade, national income, and consumption-based carbon emissions with structural breaks (1994 Italy's fiscal crises, 2001 mild recession, 2008 global financial crises, and 2010 European debt crises). The results show that both in long- and short-run financial stability, exports and renewable energy significantly reduce carbon emissions. In contrast, national income and imports are found to have a significant positive effect on consumption-based carbon emissions. Policymakers in G-7 countries should focus more on financial sector stability and encourage firms to use renewable energy. Any policy that targets financial stability, exports, and renewable energy will significantly reduce carbon emissions. This study is a novel contribution to the area of consumption-based carbon emissions as it incorporates the role of financial stability for G-7 economies.

Indexed as

CommerceEconomic DevelopmentCarbon DioxideIncomeInternationalityRenewable EnergyCarbon DioxideCS-ARDLFinancial stabilityRenewable energyTrade-adjusted carbon emissions

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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.