Abstract
The social integration of the floating population is related to the quality of urbanization. Based on the China Migrants Dynamic Survey in 2017, a five-dimensional index system of physiological adaptation, economic integration, social adaptation, identity, and psychological integration is constructed to explore the floating population's social integration structure and path. The results show a close relationship between the floating population's five dimensions of social integration. Physical integration is the basis of survival, psychological integration is the highest level of integration, and economic integration is necessary for social integration. Economic integration can directly affect psychological integration and indirectly through social adaptation or identity path. In addition, economic integration first through a social adaptation intermediary and then through an identity intermediary to influence psychological integration remotely; by comparing the social integration status of the floating population and local residents, it is found that there is no significant difference between floating population and local residents only in physiological adaptation; in the high-level social integration dimension, there is a significant difference between floating population and local residents, and the floating population is not fully integrated into the local area, The phenomenon of “pseudo integration” exists in the social integration of floating population. The direction of urbanization development should be changed from quantity target to quality target.
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Notes
Thanks to the National Health Commission for providing the data of China’s floating population dynamic monitoring (CMDS).
To identify the model, the parameter of an observation variable and its corresponding potential variable is usually fixed as 1. In this paper, the coefficients of X1, X7, X16, X20, and X21 are selected as 1.
The questionnaire framework of the local residents and the floating population is the same. This section discusses the above four dimensions. This section mainly compares the objective facts of the floating and registered populations, and the dimension of psychological integration involves subjective feelings, so it is not discussed
References
Baron, R. M., & Kenny, D. A. (1986). The moderator-mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51, 1173–1182.
Bogardus, E. S. (1925). Measuring social distance. Journal of Applied Sociology, 9, 299–308.
Chen, Y., & Zhang, Y. (2015). Inequality effect of urbanization and social integration. Chinese Social Sciences, 06, 78–95+206–207.
Fairchild, A. J., MacKinnon, D. P., Taborga, M. P., & Taylor, A. B. (2009). R2 effect-size measures for mediation analysis. Behavior Research Methods, 41, 486–498.
Fan, C. C. (2008). Migration, hukou, and the Chinese city. In Y. Shahid & A. Saich (Eds.), China urbanizes: Consequences, strategies, and policies (pp. 65–90). The World Bank.
Feinberg, F. M. (2012). Mediation analysis and categorical variables: Some further frontiers. Journal of Consumer Psychology, 22, 595–598.
Fritz, M. S., & MacKinnon, D. P. (2007). Required sample size to detect the mediated effect. Psychological Science, 18, 233–239.
Hao, X., Sun, J., & Bo, T. (2018). Research on the impact of social integration on the mental health of floating population – Based on the test of 2014 national floating population dynamic monitoring data. Population and Development, 24(04), 14–23.
Hayes, A. F. (2009). Beyond Baron and Kenny: Statistical mediation analysis in the new millennium. CommunicationMonographs, 76, 408–420.
He, Y., & Liu, X. (2020). Research on the urban integration of young floating population – Based on the dynamic monitoring data of Bei**g floating population in 2017. Hubei Social Sciences, 01, 61–68.
Heckman, J. J. (1998). Detecting discrimination. Journal of Economic Perspectives, 2, 101–116.
Imai, K., Keele, L., & Tingley, D. (2010). A general approach to causal mediation analysis. Psychollogical Methods, 15, 309–334.
Kenny, D. A., Korchmaros, J. D., & Bolger, N. (2003). Lower level mediation in multilevel models. Psychological Methods, 8, 115–128.
Li, B. (2006). Floating population or urban citizens? Status, social provision, and circumstances of rural-urban migrants in China. Social Policy & Administration, 40(2), 174–195.
Li, S., Ren, Y., **, X., & Feldman. (2008). Social integration of migrant workers in China and its influencing factors: An analysis based on social support network. Population and Economy, 2, 1–8+70.
Liang, Z., & Ma, Z. (2004). China’s floating population: New evidence from the 2000 census. Population and Development Review, 30(3), 467–488.
Lu, S., & Chen, Y. (2019). The power of language: Does speaking local language improve the social integration of floating population? Economic Science, 04, 118–128.
Mu, G., & Jiang, D. (2017). Social integration of floating population: Meaning, measurement and path. Jianghuai Forum, 04, 129–133.
Park R, Assimilation B.E. (1922). Introduction to the science of sociology. Chicago, University of Chicago Press.
Qiu, X. (2003). The urbanization speed in China is too slow and needs to be speeded up. Economics Daily, 22 September.
Shen, J., & Huang, Y. (2003). The working and living space of the ‘floating population’ in China. Asia Pacific Viewpoint, 44(1), 51–62.
Tian, K. (1995). Investigation, analysis and reflection on the urban adaptability of migrant workers. Social Science Research, 05, 90–95.
Wang, F. (1997). The breakdown of a great wall: Recent changes in the household registration system of China. In T. Schar** (Ed.), Floating population and migration in China—The impact of economic re-forms (pp. 149–165). Institut für Asienkunde.
Wang, G., Shen, J., & Liu, J. (2008). Research on citizenization of urban migrant workers in China: A case study of Shanghai. Population and Development, 01, 3–23.
Wang, J. (2016). Rural-to-urban migration and rising evaluation standards for subjective social status in contemporary China. Social Indicators Research, 134, 1113–2113.
Wang, Y., & Shi, X. (2010). Migrant children and urban social integration: Theory and reality. Journal of Nan**g Agricultural University (social Science Edition), 10(02), 97–103.
Wang, Y., & Zhao, X. (2020). Micro factors affecting the social integration of floating population and their changes – Based on the comparison between 2010 and 2017. Journal of East China Normal University, 52(01), 117–126+199.
Wu, W., Xu, J., Wu, Z., **ang, Q., & Cui, Z. (2016). Confirmatory factor analysis of self-rated health assessment scale applied to traffic police. China Health Statistics, 33(03), 445–447.
Yang, J. (2009). From isolation, selective integration to integration: Theoretical thinking on social integration of floating population. Population Research, 33(01), 17–29.
Yang, J. (2010). Index system of social integration of floating population in inflow areas: A further study based on social integration theory. Population and Economy, 02, 64–70.
Ye, J., Qian, W., & Mi, S. (2014). Research on the path and influencing factors of urban integration of migrant workers – An empirical study based on the three-stage ordinal logit model. Zhejiang Social Sciences, 04, 86–97+158.
Yue, Z., Li, S., & Feldman. (2011). Concept construction and empirical analysis of social integration of migrant workers. Contemporary Economic Science, 34(01), 1–11+124.
Zhai, Z., & Zhang, Y. (2003). Where do the 130 million floating population live? In Paper presented at the conference on scientific study of China 5th census, Bei**g, 28–31 March.
Zhang, P., Hao, Y., & Chen, W. (2014). The impact of happiness and social integration on the willingness of household registration to move to cities: An empirical analysis based on the micro survey data of migrant population in four provinces in 2011. Economic Review, 01, 58–69.
Zhou, H. (2012). Measurement and theoretical thinking of social integration of floating population. Population Research, 36(03), 27–37.
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Shen, H., **a, L. Research on Social Integration Structure and Path of Floating Population Based on Structural Equation Model: Evidence from China. Soc Indic Res 165, 607–632 (2023). https://doi.org/10.1007/s11205-022-03031-3
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DOI: https://doi.org/10.1007/s11205-022-03031-3