Abstract

The return of migrant workers is an important trend in labor mobility in China. The location of the return determines the direction of the flow and affects the choice of settlement. Based on first-hand data from a field survey, statistical analysis and binary logistic analysis methods are used to analyze the location characteristics and influencing factors of the return flow. The study found that (1) returning to the county is the basic spatial feature of the return of migrant workers. Most workers return to villages and counties outside the township. Before returning, most worked in other cities and counties. Counties and small towns near the village have become the main sites for migrant workers’ return to employment. Although the general trend of rural-urban migration has not changed, the intensity has declined to a certain extent. (2) The main reason for return is to take care of the family, followed by old age, difficulty finding a job, low wages and high costs, poor health, etc. In addition, hometown employment conditions have an impact. The push from other places and the local pull work together on migrant workers, eventually producing a return pattern. (3) Most return flow has occurred in the last 5 years, and it has been intensifying. Return flow and outflow are the two basic forms of labor mobility. Under normal circumstances, migrant workers choose to return when they cannot obtain a higher income or cannot find a job. It is foreseeable that as the county-level economy continues to develop, the trend of return will continue to strengthen. (4) Factors such as years of education, skills, working years, number of work sites, family generation, distance from the city, and relative position in the village reached significance in the regression model for the choice to return to the county. Only the family generation coefficient was negative, and the other coefficients were positive. Employment and income and taking care of the family are the main mechanisms influencing migrant workers' return location selection.

Highlights

  • Population migration and mobility, common phenomena in the process of socioeconomic development, are the most important factors in the development of regional population dynamics

  • Based on 51566 attribute data from a total of 437 questionnaires collected in 14 villages in Henan Province during the Spring Festival of 2019, this paper uses a binary logistic regression model to analyze the location of migrant workers' return and seeks to answer several questions: 1) What characteristics of location selection can be observed among migrant workers who have returned in recent years? What is the change trend? 2) What are the main factors affecting these changes? 3) What useful insights or suggestions can this study provide for decision makers in reflux areas?

  • The return of migrant workers is an important trend in the flow of labor in China, and the location of the return determines the direction of the return and affects the choice of settlement

Read more

Summary

Introduction

Population migration and mobility, common phenomena in the process of socioeconomic development, are the most important factors in the development of regional population dynamics. Under the influence of social transformation and the urban–rural dual economic system, the surplus labor in rural areas in China has flowed between urban and rural areas on a large scale since the mid-1980s This has led to wave after wave of "migrant workers" and several large-scale "return waves", which follow patterns different from those of international population migration and show unique development trends. With the rapid development of industrialization and urbanization, the most obvious feature of rural decline is the loss of labor, which has brought about the hollowing out of the countryside and the aging of the agricultural population From this point of view, migrant workers are the inevitable product of uneven economic development between urban and rural areas in Chinese society. Based on 51566 attribute data from a total of 437 questionnaires collected in 14 villages in Henan Province during the Spring Festival of 2019, this paper uses a binary logistic regression model to analyze the location of migrant workers' return and seeks to answer several questions: 1) What characteristics of location selection can be observed among migrant workers who have returned in recent years? What is the change trend? 2) What are the main factors affecting these changes? 3) What useful insights or suggestions can this study provide for decision makers in reflux areas?

Literature Review
Data Source
Study Area Selection
Sample Overview
Spatial Characteristics
Time Characteristics of Reflux
Variable Design
Analysis of the Calculation Results
Findings
Discussion
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call