The massive scale of new-generation rural-urban migrants in China has attracted extensive scholarly attention in recent years.While previous studies on China’s rural migrant workers focus on migrants’settlement inte...The massive scale of new-generation rural-urban migrants in China has attracted extensive scholarly attention in recent years.While previous studies on China’s rural migrant workers focus on migrants’settlement intentions,migrants’family migration decision-making and the intergenerational differences between the old-generation migrants and new-generation migrants are underexplored.Based on the data of the 2017 China Migrants Dynamic Survey,this paper adopts a multilevel logistic regression approach to explore family and destination factors influencing the family migration decisions of China’s new generation of rural migrant workers.The empirical results reveal that both the migrants’family and destination attributes significantly influence their family migration decision.The demographic and socioeconomic characteristics of the family have been pivotal factors underlying the family migration decision of China’s new generation rural-urban migrants,while 16.9%of the chances are explained by between-destination differences.Self-employed migrants with housing properties in host cities,long migration duration and high-income levels are more likely to migrate with their family members.Yet,the possibility of family migration is found to be significantly and negatively correlated with the age,education level,number of children and inter-provincial mobility of the new generation of migrant workers.In addition,new-generation rural-urban migrants’family migration is more likely to be found in cities with service-oriented industry structures,better environmental quality,and higher hukou barriers which is possibly related to more job opportunities.These research findings not only complement the existing literature on China’s new generation of rural urban migrants,but also have important policy implications for reforming the hukou system and enhancing social integration of the rural-to-urban migrant population.展开更多
Introduction:Self-harm represents a significant public health challenge,particularly affecting young adults.This study evaluated prevalence rates and identified individual-and college-level risk factors for self-harm ...Introduction:Self-harm represents a significant public health challenge,particularly affecting young adults.This study evaluated prevalence rates and identified individual-and college-level risk factors for self-harm among college students in Jiangsu Province.Methods:Using data from the‘Surveillance for common disease and health risk factors among students in Jiangsu Province’program during 2019-2023,we employed multilevel logistic regression models to account for potential clustering within sampled colleges and to estimate odds ratios(OR)and 95%confidence intervals(CI)for person-and collegelevel factors.Dynamic analyses were conducted with repeated modeling by year.Results:Youth self-harm rates fluctuated between 2.21%and 3.83%during the study period.Self-harm was strongly associated with unhealthy lifestyles,particularly internet addiction(OR:2.50,95%CI:1.91,3.24),while regular family psychological forums were associated with decreased risk(OR:0.72,95%CI:0.55,0.95).Conclusion:Our findings emphasize the necessity of on-campus psychosocial support and highlight the importance of leveraging family-college collective resources with targeted interventions,especially for high-risk groups exhibiting unhealthy lifestyles,particularly internet addiction.展开更多
基金supported by the National Natural Science Foundation of China(Project Number:NSFC 71403193).
文摘The massive scale of new-generation rural-urban migrants in China has attracted extensive scholarly attention in recent years.While previous studies on China’s rural migrant workers focus on migrants’settlement intentions,migrants’family migration decision-making and the intergenerational differences between the old-generation migrants and new-generation migrants are underexplored.Based on the data of the 2017 China Migrants Dynamic Survey,this paper adopts a multilevel logistic regression approach to explore family and destination factors influencing the family migration decisions of China’s new generation of rural migrant workers.The empirical results reveal that both the migrants’family and destination attributes significantly influence their family migration decision.The demographic and socioeconomic characteristics of the family have been pivotal factors underlying the family migration decision of China’s new generation rural-urban migrants,while 16.9%of the chances are explained by between-destination differences.Self-employed migrants with housing properties in host cities,long migration duration and high-income levels are more likely to migrate with their family members.Yet,the possibility of family migration is found to be significantly and negatively correlated with the age,education level,number of children and inter-provincial mobility of the new generation of migrant workers.In addition,new-generation rural-urban migrants’family migration is more likely to be found in cities with service-oriented industry structures,better environmental quality,and higher hukou barriers which is possibly related to more job opportunities.These research findings not only complement the existing literature on China’s new generation of rural urban migrants,but also have important policy implications for reforming the hukou system and enhancing social integration of the rural-to-urban migrant population.
基金Supported by National Social Science Foundation of China(Grant No.23CGL072),Ministry of Science and Technology(Grant No.G2023141005L),Ministry of Education(Grant No.1125000172)SEU Innovation Capability Enhancement Plan for Doctoral Students(Grant No.CXJH_SEU 25220)Jiangsu Provincial Department of Science and Technology,Jiangsu Provincial Social Science Foundation(Grant No.24SHB005).
文摘Introduction:Self-harm represents a significant public health challenge,particularly affecting young adults.This study evaluated prevalence rates and identified individual-and college-level risk factors for self-harm among college students in Jiangsu Province.Methods:Using data from the‘Surveillance for common disease and health risk factors among students in Jiangsu Province’program during 2019-2023,we employed multilevel logistic regression models to account for potential clustering within sampled colleges and to estimate odds ratios(OR)and 95%confidence intervals(CI)for person-and collegelevel factors.Dynamic analyses were conducted with repeated modeling by year.Results:Youth self-harm rates fluctuated between 2.21%and 3.83%during the study period.Self-harm was strongly associated with unhealthy lifestyles,particularly internet addiction(OR:2.50,95%CI:1.91,3.24),while regular family psychological forums were associated with decreased risk(OR:0.72,95%CI:0.55,0.95).Conclusion:Our findings emphasize the necessity of on-campus psychosocial support and highlight the importance of leveraging family-college collective resources with targeted interventions,especially for high-risk groups exhibiting unhealthy lifestyles,particularly internet addiction.
