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.
复制标题
从社交网络中抽取移民样本：坦桑尼亚达累斯萨拉姆中国移民的人口统计和社会组织。
DOI：
10.1093/migration/mnw004
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发表时间：
2016
影响因子：
1.9
通讯作者：
Li,Jing
中科院分区：
文献类型：
--
作者：
Merli,MGiovanna;Verdery,Ashton;Mouw,Ted;Li,Jing
随着中国在非洲大陆的投资和贸易流量不断增加，中国移民非洲的人数也在不断增加。尽管媒体高调报道了这一现象，但对非洲华人社区的丰富和广泛描述却很少。其原因包括非洲人口普查中关于外国出生人口的官方统计数据很少，没有用常规调查方法抽取有代表性的样本所需的预先确定的抽样框架，以及难以接触到这一人口的某些部分。在这里，我们使用了一种新的基于网络的方法，即带记忆的网络抽样，它克服了在没有抽样框架的情况下对“隐藏”人口进行抽样的挑战，招募了坦桑尼亚达累斯萨拉姆最近的中国移民样本，并收集了该样本成员的人口特征、迁徙历史和社会关系的信息。这些数据揭示了一个多元化的华人社区，其中既有来到非洲从事大型中国国有企业项目工作的“国家主导”移民，也有主动前来从事各种商业活动的“独立”移民。它们丰富地描述了这一社区的人口概况和社会组织，突出了两类移民之间的主要区别，并描绘了将他们联系在一起的社会关系的结构。我们强调，今后需要研究群体间在个人移徙动机、经济活动、移徙结果、对未来在非洲居住的预期、社会融合以及与当地社区关系方面的差异。
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.