Evidence map›Paper›PMID 36471856›Full record

ArticleHeliyon2022

Determents of sustainable charcoal production in AWI zone; the case of

Birhanu Bekele, Abdo W Kemal

Abstract read
In one paragraph

Article in Heliyon, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
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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.

Birhanu BekeleInjibara University, Department of Geography and Environmental Studies, Ethiopia.
Abdo W KemalKebri Dehar University, Department of Geography and Environmental Studies, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In Ethiopia, the trend of production and consumption of charcoal is found to be increasing in the regions' major towns and cities, particularly in Figita Lekoma district. However, little attention is given to sustainable charcoal production in the study area. Therefore, the main objective of this study was to assess determents to sustainable charcoal production in the Fagita Lekoma district. The study used a cross-sectional survey design for data collection and analysis as well as a purposive sampling technique to select samples from the household. The required data for the study was collected from both primary and secondary sources by employing data collection instruments such as household surveys, key informant interviews, and focus group discussions. The collected data was analyzed by inferential statistics (binary logistic regression) to analyze the determinants of charcoal production and to determine whether there are any statistically significant differences between charcoal produced and non-produced in the study area. According to the survey results, the most significant challenges for charcoal production were a lack of land, improved production technology, and perception. The results of the logistic regression model reveal that age of the household head, education, and family size were found to significantly influence charcoal production at less than a 10% probability level, while perception, methods, and land holding size were significant at less than a 5% probability level. Responsible institutions and planners should focus on the effects of earth mound kilns charcoal production on environments'. Charcoal production methods should be improved, and the government should have to give attention to sustainable charcoal production to make economically viable and environmentally friendly to reduce emissions.

Indexed as

ChallengesCharcoalOpportunityProducerSustainability

Identifiers

PMID36471856
PMCPMC9718988

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.