Evidence map›Paper›PMID 37809735›Full record

ArticleHeliyon2023

Analyzing actors' interaction behavior in land transactions in informal settlement settings: A case study of Burayu city, Ethiopia.

Tefera Beyera Bayuma, Birhanu Girma Abebe

Abstract read
In one paragraph

Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

2 authors.

Tefera Beyera BayumaEthiopian Institute of Architecture, Building Construction and City Development, Department of Urban and Regional Planning, Addis Ababa University, Ethiopia.
Birhanu Girma AbebeEthiopian Institute of Architecture, Building Construction and City Development, Department of Urban and Regional Planning, Addis Ababa University, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Informality plays an imperative role in offering housing for households in developing countries when the formal market cannot provide enough to keep up with residents' demands. The actors' interaction, with one another, plays an imperative role in land transactions in informal settlement areas. As informal actors operate outside the formal land transactions their activities and methods of operation are rarely understood. Therefore, based on social network theory, this paper aims to identify and examine informal actors, their functions, interactions, and power relationships in informal settlement areas. To this end, this study employed key informant interviews, focus group discussions, structured questionnaires, and a review of published literature, as well as official documents. In the study area, most residents acquired land through informal mechanisms. Major actors include farmers, local land administrators, speculators, land brokers, residents, government officials, and religious leaders. The study also uncovers that the role of each actor varies from information provision to price fixing. Their roles and interactions are governed by dynamic networks and occasionally overlap functions. Among the network actors, land brokers are considered the most influential and powerful because they possess a high degree of centrality, closeness, betweenness, and eigenvector. They hold a pivotal position in the network and act as a liaison between the network's actors. Therefore, the roles of land brokers, who often actively influence the land transaction process, should be considered in urban land governance and incorporated in policy formulation and implementation.

Indexed as

ActorsBurayuCentralityInformal settlementInteractionSocial network analysis

Identifiers

PMID37809735
PMCPMC10558734

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.