Evidence map›Paper›PMID 42558096›Full record

ArticleFrontiers in nutrition2026

Connecting the dots: internet access, income, and clean cooking energy adoption among rural households in Pakistan.

Nawab Khan, Xuanguo Xu

Abstract read
In one paragraph

Article in Frontiers in nutrition, 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

2 authors.

Nawab KhanCollege of Economics and Management, Shandong Agricultural University, Tai'an, China.
Xuanguo XuCollege of Public Administration, Shandong Agricultural University, Tai'an, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Access to clean cooking energy is critical for improving rural health and environmental sustainability. However, adoption remains limited in many developing regions due to financial, infrastructural, and informational constraints. Drawing on innovation diffusion and information-access frameworks, this study examines the relationship between internet use and clean cooking energy adoption among rural households in Pakistan. The analysis is based on survey data from 600 farm households collected in 2025 using a stratified random sampling approach. Employing Logit models, instrumental variable estimation, and mediation analysis, we assess both the direct effect of internet use and the mediating role of household income. Considering the potential endogeneity arising from self-selection and omitted variables, an instrumental variable approach is applied, and the results confirm that the positive association between internet use and clean cooking energy adoption remains robust. The findings show that internet use significantly increases the likelihood of adopting clean cooking energy. Mediation analysis reveals that household income partially mediates this relationship, indicating that digital connectivity promotes clean energy adoption by enhancing both economic capacity and access to information. Heterogeneity analysis further shows that the effect is stronger among middle-aged and elderly households and in geographically constrained hilly areas. These findings highlight digital connectivity as an important driver of rural energy transitions. From a policy perspective, expanding digital infrastructure, improving digital inclusion, and integrating clean energy promotion with income-enhancing strategies can accelerate the adoption of clean cooking energy and improve rural welfare in developing countries.

Indexed as

clean cooking energydigital connectivityenergy transitioninternet usePakistanrural households

Identifiers

PMID42558096
PMCPMC13437262

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.