Residential Clustering among Nang Rong Migrants in Urban Settings of Thailand

Jampaklay, Aree; Korinek, Kim; Entwisle, Barbara

doi:10.1177/011719680701600403

Cited by 11 publications

(7 citation statements)

References 28 publications

(37 reference statements)

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“…Jampaklay, Korinek and Entwisle 2007; Entwisle et al 2007). In the Chinese migration context in Tanzania, the compartmentalization of economic and social activities of different groups of migrants may impede the formation of social ties across ownership sectors.…”

Section: Methodsmentioning

confidence: 99%

Sampling migrants from their social networks: The demography and social organization of Chinese migrants in Dar es Salaam, Tanzania

et al. 2016

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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.

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Section: Methodsmentioning

confidence: 99%

Sampling migrants from their social networks: The demography and social organization of Chinese migrants in Dar es Salaam, Tanzania

et al. 2016

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“…The classic economic model holds that migration is the outcome of individual choice (Harris and Todaro, 1970). Research over the last 40 years has revealed that the factors that drive migration are complex, and the decision-making process often occur in the context of a family, household, or social network (Jampaklay et al, 2007;Winkels, 2008). Across the deltas, there is evidence that migration decisions are not undertaken solely by individuals, but are collectively taken up by a group, usually within a social network or family.…”

Section: Social and Policy Drivers Of Migrationmentioning

confidence: 99%

Exploring the dynamics of migration to mega-delta cities in Asia and Africa: Contemporary drivers and future scenarios

Seto

2011

Global Environmental Change

186

130

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“…Project (MMP Fussell and Massey 2004;, the Latin American Migration Project (LAMP, Donato et al 2010), the Nan Rong Project (Jampaklay, Korinek, and Entwisle 2007;Korinek, Entwisle, and Jampaklay 2005), and the Migration between African and Europe Project (MAFE, Beauchemin 2015 have contributed substantially to the collection and analyses of data on networks and migration. The strength of these studies lies in their use of survey methods to capture individual migration histories with which to compute retrospective measures of social networks connecting kin, as well as shared households and communities, in sending and receiving locations.…”

Section: Several Large Community-based Demographic Studies Such As the Mexican Migrationmentioning

confidence: 99%

Using Social Networks to Sample Migrants and Study the Complexity of Contemporary Immigration: An Evaluation Study

Merli

Mouw²,

Barbenchon³

et al. 2021

Preprint

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We test the effectiveness of a link-tracing sampling approach, Network Sampling with Memory (NSM) to recruit samples of rare immigrant populations with an application among Chinese immigrants in the Raleigh-Durham Area of North Carolina. NSM uses the population network revealed by data from the survey to improve the efficiency of link-tracing sampling, and has been shown to substantially reduce design effects in simulated sampling. Our goals are: (1) to show that it is possible to recruit a probability sample of a locally rare immigrant group using NSM and achieve high response rates; (2) to demonstrate feasibility of collection and benefits of new forms of network data that transcend kinship networks in existing surveys and can address unresolved questions about the role of social networks in migration decisions, the maintenance of transnationalism, and the process of social incorporation; (3) to test the accuracy of the NSM approach to recruit immigrant samples by comparison with the American Community Survey (ACS). Our results indicate feasibility, high performance, cost-effectiveness and accuracy of the NSM approach to sample immigrants for studies of local immigrant communities. This approach can also be extended to recruit multi-site samples of immigrants at origin and destination.

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Residential Clustering among Nang Rong Migrants in Urban Settings of Thailand

Cited by 11 publications

References 28 publications

Sampling migrants from their social networks: The demography and social organization of Chinese migrants in Dar es Salaam, Tanzania

Sampling migrants from their social networks: The demography and social organization of Chinese migrants in Dar es Salaam, Tanzania

Exploring the dynamics of migration to mega-delta cities in Asia and Africa: Contemporary drivers and future scenarios

Using Social Networks to Sample Migrants and Study the Complexity of Contemporary Immigration: An Evaluation Study

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