Evidence map›Paper›PMID 34296408›Full record

ArticleEnvironmental science and pollution research international2021

Nonlinear impact of biomass energy consumption on ecological footprint in a fossil fuel-dependent economy.

Tarek Bel Hadj

Abstract read
PubMed Publisher
In one paragraph

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 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
  2. Economic Growth and Environmental Quality: Analysis of Government Expenditure and the Causal Effect.International journal of environmental research and public health · 2022
    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

1 author.

Tarek Bel HadjDepartment of Business Administration, College of Business and Economics, Qassim University, Buraydah, 52571, Qassim, Saudi Arabia. t.belhaj@qu.edu.sa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Facing the rise in threats that the environment confronts, several studies were conducted regarding the possible sources of renewable energy in general and biomass energy in particular. This study raises the question of the role that biomass energy can play to reduce ecological footprint in a country rich in fossil fuel energy and on which its economy is largely dependent. The results of the NARDL method applied to the case of Saudi Arabia during the period 1984-2017 showed that the positive change in biomass energy consumption reduces the ecological footprint both in the short and long term. For a country dependent on fossil fuel energy as Saudi Arabia, fossil fuel energy and natural resource rents exert negative effects of the ecological footprint in the short term since they provide the necessary funds to finance green projects. However, natural resources rents and positive changes in fossil fuel energy consumption significantly increase ecological footprints in the long term. Urbanization has negative effects on ecological footprint both in the short and long term. The effects of GDP and GDP square on environmental degradation are negative and positive, respectively. However, the effects of these two variables on the ecological footprint are reversed in the long run. For a fossil fuel energy-dependent economy as Saudi Arabia, the biomass energy and the demographic dimension linked to urbanization are important levers for the transition to sustainable development, both in the short and in the long term.

Indexed as

Economic DevelopmentFossil FuelsBiomassCarbon DioxideRenewable EnergyCarbon DioxideFossil FuelsBiomass energy consumptionEcological footprintEnergy fuel consumptionFossil fuel energy–rich economy

Identifiers

What OpenQuestion holds

Textmetadata
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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.