Sen Le Thi Hoa, Bond Jennifer, Nguyen Tien Dung, Nguyen Thi Hong Mai, Hoang Dung Ha, Nguyen Van Chung, Nguyet Tran Thi Anh, Nguyen Quang Phuc
Hue University of Agriculture and Forestry, Hue University, 102 Phung Hung Str., Hue City, Viet Nam.
Gulbali Institute for Agriculture, Environment and Water, Charles Sturt University, P.O Box 789, Albury, NSW, 2640, Australia.
Heliyon. 2023 Jul 27;9(8):e18765. doi: 10.1016/j.heliyon.2023.e18765. eCollection 2023 Aug.
This study applied the extended theory of planned behavior (ETPB) to explore factors that shape the behavioral intention of migrant laborers returning to the coastal region of Thừa Thiên Huế province during the peak of the COVID-19 pandemic to remigrate. Data collection included 210 interviews with returned migrants aged 18 and above in 4 coastal communes of Thừa Thiên Huế province, in-depth interviews (8 key informants) and a group discussion (5 persons). Exploratory factor analysis and a multivariate linear regression model were applied to analyze the data. Results showed that in addition to individual socio-demographic characteristics (i.e. level of education, age, income level and sex), attitudes, subjective norms, perceived behavioral control, and perceived risk were also determinant factors of migrants' intention to remigrate. This research suggested that in order to build resilience of rural migration workers, related departments should seriously consider the following recommendations: (i) raise awareness and encourage young rural people to complete their education and necessary skills; (ii) organize related psychological training programs for rural laborers; (iii) raise awareness about the necessity to participate in social insurance; (iv) promote rural job creation programs suitable for low education and low-skilled rural laborers; (v) raise awareness for local people, particularly school children, about the value and opportunities of being smart farmers in the context of 4.0 technology and social risks at the destination for low education and low-skilled laborers; (vi) digitalize migration labor management and provide digital information services regarding job opportunities for rural laborers.
本研究应用计划行为扩展理论（ETPB），探讨在新冠疫情高峰期，塑造承天顺化省沿海地区返乡农民工再次外出打工行为意向的因素。数据收集包括对承天顺化省4个沿海公社18岁及以上返乡农民工进行的210次访谈、深度访谈（8名关键信息提供者）和小组讨论（5人）。应用探索性因素分析和多元线性回归模型对数据进行分析。结果表明，除了个人社会人口特征（即教育程度、年龄、收入水平和性别）外，态度、主观规范、感知行为控制和感知风险也是农民工再次外出打工意向的决定性因素。本研究建议，为增强农村移民工人的适应能力，相关部门应认真考虑以下建议：（i）提高认识，鼓励农村青年完成学业并掌握必要技能；（ii）为农村劳动者组织相关心理培训项目；（iii）提高对参加社会保险必要性的认识；（iv）推广适合低学历、低技能农村劳动者的农村就业创造项目；（v）提高当地居民，特别是学童对低学历、低技能劳动者在4.0技术背景下成为智能农民的价值和机会以及目的地社会风险的认识；（vi）将移民劳动力管理数字化，并为农村劳动者提供有关就业机会的数字信息服务。
