Evidence map›Paper›PMID 29854419›Full record

ArticleChinese journal of sociology2016

Ethnic enclaves revisited: Effects on earnings of migrant workers in China.

Chunni Zhang, Yu Xie

Abstract read
In one paragraph

Article in Chinese journal of sociology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
8.3field-weighted citation impact, top 3% 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

0 citing papers in PubMed, 17 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 2 institutions in 2 countries.

Chunni ZhangDepartment of Sociology, Peking University, China.
Yu XiePrinceton University, USA; Center for Social Research, Peking University, China.
China Institutes of Contemporary International Relations · CNPeking University · CN

Funding

Scientific and Technical Computing CoreP2CHD047879 · NICHD · PRINCETON UNIVERSITY · PI SALGANIK, MATTHEW J. · 2014 to 2018
$2.0M
NICHD NIH HHS P2C HD047879
6 · The paper itself

Abstract

Among rural-to-urban migrants, migrant workers from the same origins tend to concentrate in the same workplaces. When this concentration in a workplace is sufficiently dense, we may consider it a native-place enclave. According to a large literature on U.S. immigrants, enclave participation may improve the economic well-being of immigrants. This study borrows the same reasoning to evaluate whether or not working in a native-place enclave affects earnings of migrant workers in urban China. We pay particular attention to heterogeneity not only in how migrants who work in an enclave may differ from those who choose to work in the open economy but also in varying earnings returns to enclave participation across different groups of migrant workers. Using data from a 2010 survey of migrant workers in the Pearl River Delta and the Yangzi River Delta, we match enclave workers and non-enclave workers with the same propensity to work in an enclave and then compare their earnings differences. We find a positive average earnings return to enclave participation, although this effect is smaller than that resulting from a naïve comparison. Moreover, we find that migrants with a high propensity to work in an enclave benefit more from enclave participation than those with a low propensity. Our findings generally support the enclave thesis and its role in internal migration in China.

Indexed as

Heterogeneous treatment effect modelmigrant workersnative-place enclavepropensity score matching analysisrural-to-urban migration

Identifiers

PMID29854419
PMCPMC5973510
OpenAlexW2344535723

What OpenQuestion holds

Textmetadata
LicenceTDM
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.