Evidence map›Paper›PMID 38434071›Full record

ArticleHeliyon2024

Determinants of adoption of urban agricultural practices in eastern Haraghe zone of Oromia region and Dire Dawa City administration, eastern Ethiopia.

Gebregziabher Nigus, Mengistu Ketema, Jema Haji, Million Sileshi

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. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
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

4 authors.

Gebregziabher NigusSchool of Agricultural Economics and Agribusiness, Haramaya University, Haramaya, Ethiopia.
Mengistu KetemaEthiopian Economics Association, Addis Ababa, Ethiopia.
Jema HajiSchool of Agricultural Economics and Agribusiness, Haramaya University, Haramaya, Ethiopia.
Million SileshiSchool of Agricultural Economics and Agribusiness, Haramaya University, Haramaya, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although urban agriculture (UA) can aid economic development, food inflation, unemployment, and nutritional insecurity often necessitate urban households to engage in various agricultural practices. Hence, the study aimed to identify UA practices adopted and their determinants in the Eastern Haraghe zone of the Oromia region and Dire Dawa City Administration, Eastern Ethiopia. Data was collected from 385 randomly selected urban households using a semi-structured questionnaire. Descriptive statistics and a Multivariate Probit (MVP) model were used to analyze the data. The results of the MVP model reveal that sex, age, education level, land size, extension contact, credit access, community group participation, training, and household non-farm income significantly influenced vegetable farming adoption. On the other hand, livestock production adoption was also affected by factors such as sex, land size, perception, credit access, farming experience, community group participation, market distance, training, and non-farm income. Crop-fruit production adoption was also influenced by factors like age, perception, farming experience, market distance, training, and dependency ratio. Improving the ability to use the land for UA purposes, empowering female-headed households, improving livestock breeds, creating awareness through short-term training, and improving credit accessibility are important recommendations to enhance the adoption of UA practices in the study areas.

Indexed as

AdoptionDeterminantsEthiopiaMVP modelUrban agriculture

Identifiers

PMID38434071
PMCPMC10906398

What OpenQuestion holds

Textmetadata
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.