Evidence map›Paper›PMID 34664171›Full record

ArticleEnvironmental science and pollution research international2022

Biomass energy consumption and its impacts on ecological footprints: analyzing the role of globalization and natural resources in the framework of EKC in SAARC countries.

Usman Mehmood

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Article in Environmental science and pollution research international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. 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. Exploring the existence of environmental Phillips curve in South Asian countries.Environmental science and pollution research international · 2022
    Article
  4. Socio-Economic Drivers of Renewable Energy: Empirical Evidence from BRICS.International journal of environmental research and public health · 2022
    Article
  5. Article
4 · The record

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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

1 author.

Usman MehmoodDepartment of Political Science, University of Management and Technology, Lahore, Pakistan. usmanmehmood.umt@gmail.com.ORCID http://orcid.org/0000-0001-9034-5878

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Research scholars have diverted their attention towards the effect of biomass energy use on ecological footprints. Although recent research has investigated this association, the link between ecological footprints and biomass energy consumption has not provided consistent results. Therefore, this research attempts to fill the gap by examining the ecological footprints-biomass energy consumption nexus in the context of environmental Kuznets curve over the period of 1990-2016 in South Asian Association for Regional Corporation (SAARC) countries. Moreover, this work incorporates globalization, natural resources, and economic growth (GDP) for empirical analysis. In doing empirical analysis, we applied some econometric analysis to deal with the issue of cross-sectional dependence in the data. The outcomes of fully modified ordinary least squares and dynamic ordinary least squares estimations show that biomass energy consumption increases ecological footprints in SAARC countries. Moreover, globalization and GDP are also increasing ecological footprints. Environmental Kuznets curve cannot be validated in estimated countries. The Dumitrescu-Hurlin causality test confirms one-way causality from biomass energy usage to ecological footprints. On the base of empirical results, several policy implications are suggested for SAARC countries.

Indexed as

Carbon DioxideEconomic DevelopmentBiomassCross-Sectional StudiesInternationalityNatural ResourcesRenewable EnergyCarbon DioxideBiomass energy consumptionDOLSEcological footprintsFMOLSSAARC countries

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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.