Evidence map›Paper›PMID 40881662›Full record

ArticleDiscover energy2025

Transitioning to cleaner solutions and moving away from precautionary energy stacking in Lesotho households.

Seroala Tsoeu-Ntokoane, Moeketsi Kali, Xavier Lemaire

Abstract read
In one paragraph

Article in Discover energy, 2025. 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

3 authors.

Seroala Tsoeu-NtokoaneDepartment of Political and Administrative Studies, National University of Lesotho, Maseru, Lesotho.ORCID 0000-0003-2310-9319
Moeketsi KaliDepartment of Political and Administrative Studies, National University of Lesotho, Maseru, Lesotho.ORCID 0000-0002-6932-050X
Xavier LemaireInstitute for Sustainable Resources, University College London, London, UK.ORCID 0000-0003-1429-4268

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The optimism that the world will be heading for 100% renewable energy has recently heightened within academia and policymakers. This paper interrogates the prevailing energy patterns in Lesotho, where households depend on multiple energy sources, combining renewables and non-renewables. While there is increased access to grid electricity and solar technologies, the data reveals a persistent reliance on biomass, paraffin, coal, and liquefied petroleum gas. Drawing on qualitative fieldwork, the study demonstrates that the current trend is not merely transitional but is shaped by distinct socio-economic and infrastructural realities. Three key factors underpin the continued preference for energy combinations. First, renewable energy penetration in rural areas remains limited. Second, affordability concerns, particularly the cost of connection and usage, severely constrain households. Third, precautionary behaviours in response to unreliable electricity supply and the perceived inefficiency of some renewable technologies push households to keep alternative sources on standby. Efforts to abandon fossil-based energy use will remain aspirational unless energy transitions account for these patterns and the reasons behind them. Meaningful progress towards sustainable energy in Lesotho requires a deliberate shift in how communities are engaged. Strategies must move beyond top-down electrification, but instead emphasise local knowledge and user priorities, which are key.

Indexed as

Energy mixEnergy stackingEnergy transitionLesothoPublic participation

Identifiers

PMID40881662
PMCPMC12382153

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.