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Articles

Social isolation: a key to explain a migrant worker cigarette smoking

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Abstract

Migrant workers in China are experiencing social isolation caused by institutional and non-institutional barriers. This paper explores the relationship between social isolation and migrants’ smoking behavior as well as gender differences in smoking. Migrants’ social isolation is systematically measured from the structural and qualitative perspective. Using the survey data of 2,188 rural-to-urban migrants in China in 2016, the prevalence of smoking among migrants is 38.21%, with 51.70% for males and 4.06% for females. Migrants with social isolation, such as migration instability, lack of ties with family and fellow migrants, and life dissatisfaction in migrant cities, are more likely to smoke and the impacts vary by gender. The income and price elasticities of cigarette demand show that male migrant smokers are more sensitive to income and price changes than female migrant smokers. Boosting rural migrants’ integration into the local community will reduce smoking prevalence, improving the overall health of the society.

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Authors’ contributions

In this study, Zhongyuan Liu is responsible for development and implementation of methods and statistical analysis; Wojciech J Florkowski prepared for manuscript and Huiguang Chen contributed to the implementation of the survey and collection of the data. The first draft of the manuscript was written by Zhongyuan Liu and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

Code availability

The code that generates the results of this study are available from the corresponding author upon reasonable request.

Disclosure statement

The authors declare they have no competing financial interest.

Data availability statement

The data that support the findings of this study are available from the corresponding author upon reasonable request.

Additional information

Funding

National Social Science Foundation of China (18AZD023), National Natural Science Foundation of China (71573131), and Nanjing Agricultural University Social Science Fund of the Fundamental Research Funds for the Central Universities (SKYZ2019002).

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