Evidence map›Paper›PMID 37025879›Full record

ArticleHeliyon2023

Ecological footprint in Bangladesh: Identifying the intensity of economic complexity and natural resources.

Md Golam Kibria

Abstract read
In one paragraph

Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Md Golam KibriaDepartment of Economics, Noakhali Science and Technology University, Noakhali-3814, Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent years have seen a spike in the number of academics utilizing the ecological footprint as a stand-in for environmental depletion because of its extensive nature and its ability to capture the worsening of the ecosystem. Thus, this article brings a new effort to analyze the effect of Bangladesh's economic complexity and natural resources on its ecological footprint over a long period, from 1995 to 2018. Using a nonlinear autoregressive distributed lag (NARDL) model, this paper suggests that a more complex economy has a significantly positive effect on ecological footprint over the long term. If the economy is simplified, it has less impact on the environment. For Bangladesh, an increase in economic complexity of 1 unit leads to an ecological footprint increase of 0.13 units, while a drop in economic complexity of 1% causes an ecological footprint decrease of 0.41%. Results also demonstrate that both positive and negative changes in natural resources contribute to rises in environmental quality in Bangladesh, which negatively influences the country's ecological footprint. Quantitatively, a 1% increase in natural resources reduces the ecological footprint by 0.14%, whereas a 1% decrease in resources has the opposite effect, reducing it by 0.59%. In addition, an asymmetric Granger causality test confirms the existence of a unidirectional causal link from ecological footprint to a positive partial sum of natural resources and from a negative partial sum of natural resources to ecological footprint. Finally, the findings point to a two-way causal relationship between the size of an economy's ecological footprint and the complexity of its economy. Policymakers should boost technological advances and lessen operational costs by adopting an innovative Research and development framework and devoting more cash to natural resource policies that promote an adaptable ecological footprint.

Indexed as

BangladeshEcological footprintEconomic complexityNARDLNatural resources

Identifiers

PMID37025879
PMCPMC10070537

What OpenQuestion holds

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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.