Evidence map›Paper›PMID 36285934›Full record

ArticleBehavioral sciences (Basel, Switzerland)2022

Measuring Well-Being of Migrant Gig Workers: Exampled as Hangzhou City in China.

Tinggui Chen, Weijin Song, Junying Song, Yixuan Ren, Yuzhu Dong, Jianjun Yang, Shuyuan Zhang

Abstract read
In one paragraph

Article in Behavioral sciences (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

7 authors.

Tinggui ChenSchool of Statistics and Mathematics, Zhejiang Gongshang University, Hangzhou 310018, China.ORCID 0000-0001-6061-2517
Weijin SongSchool of Statistics and Mathematics, Zhejiang Gongshang University, Hangzhou 310018, China.
Junying SongSchool of Statistics and Mathematics, Zhejiang Gongshang University, Hangzhou 310018, China.
Yixuan RenSchool of Statistics and Mathematics, Zhejiang Gongshang University, Hangzhou 310018, China.
Yuzhu DongSchool of Statistics and Mathematics, Zhejiang Gongshang University, Hangzhou 310018, China.
Jianjun YangDepartment of Computer Science and Information Systems, University of North Georgia, Oakwood, GA 30566, USA.
Shuyuan ZhangDepartment of Human Resources, Zhejiang University of Water Resources and Electric Power, Hangzhou 310018, China.

Funding

Contemporary Business and Trade Research Center and Center for Collaborative Innovation Studies of Modern Business of Zhejiang Gongshang University of China 14SMXY05YBZhejiang Provincial Natural Science Foundation of China LY22G010003
6 · The paper itself

Abstract

The consistent innovations and applications of information technology drive the vigorous development of the gig economy, and generate gig workers such as food delivery workers and couriers, and make a great contribution to stabilizing employment and increasing income. Gig workers, mostly made up of migrants, and suffer from job and status difficulties. Research on the well-being of migrant gig workers can reveal the practical problems and provide suggestions for narrowing the wealth gap to promote social fairness and justice. Taking Hangzhou city in China as an example, this paper explores the well-being of food delivery workers, couriers, and online car-hailing drivers as representatives of migrant gig workers. Firstly, the relevant data are acquired through the questionnaire. Secondly, the characteristics of this group are analyzed through descriptive analysis, namely: most of them are migrant workers aged between 20 and 39 with low occupation satisfaction due to insufficient social security coverage and limited well-being, despite relatively high income. Based on the analysis of differences in demographic variables and structural equation modeling, the factors affecting the well-being of migrant gig workers are studied, which mainly are occupation satisfaction, social interaction, and social security. The results show that occupation satisfaction is positively affected by family characteristics, social interaction, and social security. In addition, family characteristics and social security positively impact social interaction, but the former has no significant effect on well-being. Finally, this paper enriches the research on the well-being of specific migrant gig workers and gives policy suggestions for enhancing the well-being of migrant gig workers in Hangzhou city from the perspective of optimizing the mechanism, pilot construction, and platform provision.

Indexed as

difference analysis of demographic variablesgig economymigrantstructural equation modelwell-being

Identifiers

PMID36285934
PMCPMC9598948

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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.