Evidence map›Paper›PMID 39687159›Full record

ArticleHeliyon2024

Investigating the biodiversity conservation capability of technological innovation and FinTech.

Shayan Khan Kakar, Jing Wang, Noman Arshed, Tran Thi Le Hien, Nazir Muhammad Abdullahi

Abstract read
In one paragraph

Article in Heliyon, 2024. 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

5 authors.

Shayan Khan KakarCollege of Economics and Management, Northwest A&F University, 3 Taicheng Road, Yangling District, Xianyang, Shaanxi, China.
Jing WangCollege of Economics and Management, Tarim University, AlaEr, Xinjiang, China.
Noman ArshedDepartment of Business Analystics, Sunway Business School, Sunway University, Kuala Lampur, Malaysia.
Tran Thi Le HienFaculty of Finance and Accounting, Ho Chi Minh City University of Industry and Trade, Viet Nam.
Nazir Muhammad AbdullahiCollege of Economics and Management, Northwest A&F University, 3 Taicheng Road, Yangling District, Xianyang, Shaanxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human activities, primarily economic growth, and technological innovation, threaten global biodiversity. This study utilizes 22-year panel data from 87 developing countries and a novel cross-sectional heterogeneous factor analysis-based financial technology index to investigate how economic growth, renewable energy consumption, technological innovation, natural resources, and financial technology affect biodiversity. To account for cross-sectional dependency, this study employed a Panel Autoregressive Distributive Lagged with Pooled Mean Group specifications within the Driscoll and Kraay standard error estimator. The findings revealed that the log of Gross Domestic Product (GDP) had an inverted U-shaped effect. Moreover, economic growth, renewable energy, and FinTech can improve biodiversity conservation. Traditionally, technological innovation and unregulated resource exploitation have posed threats to biodiversity. This study focused on responsible economic development and practical solutions to biodiversity threats posed by technological innovation and unrestrained resource use. FinTech can promote sustainable behaviors and divert funds from ecosystem-harming projects to biodiversity-friendly ones. Innovative financial instruments enable stakeholders to balance nature. This study demonstrates that FinTech, renewable energy, and responsible economic growth can help reverse biodiversity loss. We provide the policy implications of our research.

Indexed as

BiodiversityDynamic panel analysisFinTechLoad capacity curve hypothesisTechnological innovation

Identifiers

PMID39687159
PMCPMC11647828

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.