Evidence map›Paper›PMID 41703000›Full record

ArticleScientific reports2026

Energy transition, digitalization, financial development, and human capital shape pathways to carbon neutrality in South Asia.

Rongwu Zhang, Umme Habiba, Muhammad Amad Sarwar, Sarah A Alzakari, Amel Ali Alhussan

Abstract read
In one paragraph

Article in Scientific reports, 2026. 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.

Rongwu ZhangSchool of Management, Guangzhou University, Guangzhou, 510006, Guangdong, China.
Umme HabibaSchool of Management, Guangzhou University, Guangzhou, 510006, Guangdong, China. habi512@yahoo.com.ORCID http://orcid.org/0000-0002-6608-8469
Muhammad Amad SarwarSchool of Mathematics, Nanjing University of Aeronautics and Astronautics, Nanjing, 210016, China. m.amadsarwar26@gmail.com.
Sarah A AlzakariDepartment of Computer Sciences, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, P.O. Box 84428, 11671, Riyadh, Saudi Arabia.
Amel Ali AlhussanDepartment of Computer Sciences, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, P.O. Box 84428, 11671, Riyadh, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study examines the key determinants of carbon emissions (COE) in South Asia, focusing on energy transition (ENT), digitalization (DIG), financial development (FDT), and human capital (HCT). Using panel data from 2000 to 2023 and the cross-sectional autoregressive distributed lag (CS-ARDL) model, it offers novel insights into both direct and moderating effects. A major finding is that FDT negatively moderates the effects of ENT and DIG on COE, implying that financial development plays a crucial role in enhancing the environmental benefits of clean energy and digital technologies. ENT, DIG, and HCT are found to reduce COE significantly in both the short and long term, while FDT contributes to higher emissions. These results have important implications for achieving Sustainable Development Goals (SDGs) 7, 9, and 13 and advancing COP28-aligned carbon neutrality. The study underscores the importance of green finance, digital and renewable energy expansion, and human capital development as key drivers for emissions reduction and sustainable growth in South Asia.

Indexed as

CarbonEconomic DevelopmentSustainable DevelopmentAsia, SouthernHumansRenewable EnergyCarbonCarbon emissionsDigitalizationEnergy transitionFinancial developmentSouth AsiaSustainable development goals

Identifiers

PMID41703000
PMCPMC13003005

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.