Evidence map›Paper›PMID 27746912›Full record

ArticleMigration studies2016

Sampling Migrants from their Social Networks: The Demography and Social Organization of Chinese Migrants in Dar es Salaam, Tanzania.

M Giovanna Merli, Ashton Verdery, Ted Mouw, Jing Li

Open access · greenAbstract read
In one paragraph

Article in Migration studies, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.1field-weighted citation impact, top 13% of its field
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

9 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
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  6. NEW EMIGRATION FROM CHINA: PATTERNS, CAUSES AND IMPACTS.Dang dai Zhongguo yan jiu = Modern China studies · 2019
    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

4 authors at 3 institutions in 2 countries.

M Giovanna MerliDuke Population Research Institute, Sanford School of Public Policy, Department of Sociology and Duke Global Health Institute, Duke University, Box 90312, Durham, NC 27708.
Ashton VerderyDepartment of Sociology & Criminology, Population Research Institute and Institute for CyberScience, The Pennsylvania State University, University Park PA, USA.
Ted MouwDepartment of Sociology & Carolina Population Center, University of North Carolina, Chapel Hill NC, USA.
Jing LiNational Center for STD Control, Nanjing, China.
Duke University · USNational Center for AIDS/STD Control and Prevention,China CDC · CNPennsylvania State University · US

Funding

Research Services CoreP2CHD050924 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KAREN B GUZZO · 2015 to 2026
$9.6M
Science CoreP2CHD065563 · NICHD · DUKE UNIVERSITY · PI James Moody · 2015 to 2026
$5.7M
Using Multiple Data Sources to Improve Respondent Driven Sampling EstimationR01HD068523 · NICHD · DUKE UNIVERSITY · PI MERLI, GIOVANNA M · 2011 to 2014
$1.1M
NICHD NIH HHS P2C HD050924NICHD NIH HHS P2C HD065563NICHD NIH HHS R01 HD068523
6 · The paper itself

Abstract

The streams of Chinese migration to Africa are growing in tandem with rising Chinese investments and trade flows in and to the African continent. In spite of the high profile of this phenomenon in the media, there are few rich and broad descriptions of Chinese communities in Africa. Reasons for this include the rarity of official statistics on foreign-born populations in African censuses, the absence of predefined sampling frames required to draw representative samples with conventional survey methods and difficulties to reach certain segments of this population. Here, we use a novel network-based approach, Network Sampling with Memory, which overcomes the challenges of sampling 'hidden' populations in the absence of a sampling frame, to recruit a sample of recent Chinese immigrants in Dar es Salaam, Tanzania and collect information on the demographic characteristics, migration histories and social ties of members of this sample. These data reveal a heterogeneous Chinese community composed of "state-led" migrants who come to Africa to work on projects undertaken by large Chinese state-owned enterprises and "independent" migrants who come on their own accord to engage in various types of business ventures. They offer a rich description of the demographic profile and social organization of this community, highlight key differences between the two categories of migrants and map the structure of the social ties linking them. We highlight needs for future research on inter-group differences in individual motivations for migration, economic activities, migration outcomes, expectations about future residence in Africa, social integration and relations with local communities.

Indexed as

AfricaChinaInternational MigrationSocial networksSurvey Sampling

Identifiers

PMID27746912
PMCPMC5061575
OpenAlexW2416263837

What OpenQuestion holds

Textmetadata
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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.