Study on Citizenization of the New Generation of Migrant Workers

2022 ◽  
Vol 12 (01) ◽  
pp. 1-12
Author(s):  
作傲 付
2018 ◽  
Vol 10 (11) ◽  
pp. 3964 ◽  
Author(s):  
Hongyu Ma ◽  
Federico Topolansky Barbe ◽  
Yongmei Zhang

The new generation of migrant workers may play a crucial role in boosting China’s rural economy. With the rise of knowledge economy and the advent of the information age, it is difficult for human capital and economic capital alone to gain advantages in entrepreneurship. Thus, the study of social capital and psychological capital becomes more prominent. Within this context, this paper explores the relationships among entrepreneurs’ psychological capital, social capital, and entrepreneurial outcomes for the new generation of migrant workers in the Shaanxi province. This study uses a quantitative research approach. Primary data were collected from 525 rural households in the Shaanxi province. A structural equation model is used to verify the association between social capital, psychological capital, and entrepreneurial performance. The psychological capital of the new generation of migrant workers is found to exert a more significant impact on their entrepreneurial opportunity recognition and entrepreneurial environment perception than social capital. Both entrepreneurial opportunity recognition and entrepreneurial environment perception of the new generation of migrant workers are conducive to the improvement of entrepreneurial performance. Nevertheless, the intermediary role of entrepreneurial opportunity recognition is more prominent than entrepreneurial environment perception.


2017 ◽  
Author(s):  
Jenny Chan ◽  
Mark Selden

The proletarianization of rural migrants is distinctive to contemporary China's development model, in which the state has fostered the growth of a “semi-proletariat” numbering more than 200 million to fuel labor-intensive industries and urbanization. Drawing on fieldwork in Guangdong and Sichuan provinces between 2010 and 2014, supplemented with scholarly studies and government surveys, the authors analyze the precarity and the individual and collective struggles of a new generation of rural migrant workers. They present an analysis of high and growing levels of labor conflict at a time when the previous domination of state enterprises has given way to the predominance of migrant workers as the core of an expanding industrial labor force. In particular, the authors assess the significance of the growing number of legal and extra-legal actions taken by workers within a framework that highlights the deep contradictions among labor, capital, and the Chinese state. They also discuss the impact of demographic changes and geographic shifts of population and production on the growth of working-class power in the workplace and the marketplace.


2018 ◽  
Vol 4 (2) ◽  
pp. 281-290
Author(s):  
Tang Meirun ◽  
Jennie SooHooiSin ◽  
Chuah Chin Wei

The high voluntary turnover rates of “new generation of rural migrant workers” have been widely concerned in China. One important reason is their rural identity. The distinctive social identity has caused new generation of rural migrant workers face social identity discrimination, which further hinder the integration of values and goals between the individuals and the organizations. The values and goals gap between individuals and organizations further impact on new generation of rural migrant workers’ organizational identification, which reduce their organization embeddedness and increase turnover intention. Thus, this study seeks to explore the linkage between organization identification and turnover intention, which is mediated by organizational embeddedness. Additionally, this study also proposes the moderating effect of community embeddedness on the correlation between organization embeddedness and turnover intention. A quantitative with a survey method is proposed for this study. Data will be collected in manufacturing setting in Guizhou province of China. Multi-level sampling technique will be applied to determine the sample size.


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