Evidence map›Paper›PMID 33939093›Full record

ArticleEnvironmental science and pollution research international2021

Globalization, renewable energy consumption, and agricultural production impacts on ecological footprint in emerging countries: using quantile regression approach.

Taghi Ebrahimi Salari, Ahmad Roumiani, Emad Kazemzadeh

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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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 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

3 authors.

Taghi Ebrahimi SalariFaculty of Economics and Administrative Sciences, Ferdowsi University of Mashhad, P.O: Box, Mashhad, 91735, Iran. ebrahimi@um.ac.ir.
Ahmad RoumianiDepartment of Geography, Ferdowsi University of Mashhad, Mashhad, Iran.
Emad KazemzadehFaculty of Economics and Administrative Sciences, Ferdowsi University of Mashhad, P.O: Box, Mashhad, 91735, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nowadays, paying attention to globalization and the consumption of renewable energy on the ecological footprint is one of the most important issues in the world. In the age of globalization, all countries are trying to prevent the spread of ecological degradation by enacting laws and regulations at the national level and regulating international agreements. This study investigates the effect of explanatory variables of globalization, renewable energy consumption, and agricultural production on the ecological footprint in emerging countries using fixed-effect panel quantile regression of 10th, 25th, 50th, 75th, and 90th in the period 2002 to 2016. The results showed that the consumption of renewable energy at all levels except the 25th quantile has a positive and significant effect on the ecological footprint; this effect is more in higher quantiles. Globalization in all quantiles has a negative and significant impact on the ecological footprint and has had the most excellent effect among other explanatory variables. Agricultural production variable at the 25th and 50th quantile levels had the most significant and positive effect on the ecological footprint. Therefore, it can be concluded that the increase in agricultural production, income, renewable energy consumption, population, and trade openness can lead to increased environmental degradation. However, the effects of globalization have had the most negligible negative impact on the ecological footprint.

Indexed as

Carbon DioxideEconomic DevelopmentIncomeInternationalityRenewable EnergyCarbon DioxideAgricultureEnvironmental degradationQuantile regressionRenewable energyResponsible Editor: Nicholas Apergis

Identifiers

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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.