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Spatial Differentiation and Driving Forces of Migrants’ Socio-Economic Integration in Urban China: Evidence from CMDS

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Abstract

Migrants’ socio-economic integration is a major theme in migration research, which can provide economic and cultural benefits. And it will contribute to social stability. The investigation from the spatial perspective should also be considered. This paper aims to examine the spatial differentiation of the socio-economic integration of migrants and identify its driving forces to provide crucial evidence and policy recommendations to urban policymakers and further improve migrants’ socio-economic integration. Based on the latest China Migrants Dynamic Survey, this paper uses global Moran’s I index, hot spot analysis and GWR model to explore spatial differentiation and driving forces of the socio-economic integration of 155,789 migrants in 291 cities at prefecture level and above in China. The results show that: (1) The socio-economic integration of migrants consists of five dimensions, which are economic integration, cultural integration, social security, social relation and psychological integration. Among them, psychological integration is the highest (73.16) and economic integration is the lowest (13.38). (2) The socio-economic integration of migrants is mainly influenced by their own characteristics instead of the destination characteristics. Four factors (age, education, length of stay and population growth rate) positively affect migrants’ socio-economic integration, while three factors (inter-provincial mobility, proportion of tertiary industry in GDP, and ratio of teacher to student in middle school) negatively impact the socio-economic integration of migrants. (3) The socio-economic integration of migrants shows the distribution pattern of agglomeration. And the integration also presents a significant spatial heterogeneity. The driving forces of the socio-economic integration exhibit various zonal spatial differentiation patterns, including “E–W”, “SE–NW”, “NE–SW”, and “S–N”. Finally, some useful recommendations are given for improving migrants’ socio-economic integration.

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References

  • Alemu, B. B., Vehams, H., & Nagel, S. (2021). Social integration of Ethiopian and Eritrean women in Switzerland through informal sport settings. European Journal for Sport and Society, 2, 1–20.

    Google Scholar 

  • Bolt, G. A., Özüekren, S., & Phillips, D. (2012). Linking integration and residential segregation. Routledge.

    Google Scholar 

  • Chen, Y. (2011). Occupational attainment of migrants and local workers: Findings from a survey in Shang hai’s manufacturing sector. Urban Studies, 48(1), 3–21.

    Google Scholar 

  • Chen, Y., & Wang, J. (2015). Social integration of new-generation migrants in Shanghai China. Habitat International, 49, 419–425.

    Google Scholar 

  • Cui, N., Feng, C., & Song, Y. (2017). Spatial pattern of residential land parcels and determinants of residential land price in Beijing since 2004. Acta Geographica Sinica, 72(6), 1049–1062.

    Google Scholar 

  • Démurger, S., Gurgand, M., Li, S., & Yue, X. (2009). Migrants as second-class workers in urban China? A decomposition analysis. Journal of Comparative Economics, 37(4), 610–628.

    Google Scholar 

  • Forrest, R., & Kearns, A. (2001). Social cohesion, social capital and the neighbourhood. Urban Studies, 38(12), 2125–2143.

    Google Scholar 

  • Fotheringham, A. S., Brunsdon, C., & Charlton, M. (2003). Geographically weighted regression: The analysis of spatially varying relationships. Wiley.

    Google Scholar 

  • Fotheringham, A. S., Kelly, M. H., & Charlton, M. (2013). The demographic impacts of the Irish famine: Towards a greater geographical understanding. Transactions of the Institute of British Geographers, 38(2), 221–237.

    Google Scholar 

  • Glazer, N. (1998). Pluralism and the new immigrants. Society, 35(2), 232–238.

    Google Scholar 

  • Goldlust, J., & Richmond, A. H. (2006). A multivariate model of immigrant adaptation. International Migration Review, 8(2), 193.

    Google Scholar 

  • Gordon, D., et al. (Eds.). (2000). Poverty and social exclusion in Britain. Joseph Rowntree Foundation.

    Google Scholar 

  • Gordon, M. M. (1964). Assimilation in American life. Oxford University Press.

    Google Scholar 

  • Griffith, D. A. (2003). Spatial autocorrelation and spatial filtering: Gaining understanding through theory and scientific visualization. Journal of Regionalence, 44(3), 633–635.

    Google Scholar 

  • Gu, H. Y., Liu, Z. L., & Shen, T. Y. (2020a). Spatial pattern and determinants of migrant workers’ interprovincial hukou transfer intention in China: Evidence from a national migrant population dynamic monitoring survey in 2016. Population, Space and Place, 26(2), 1–16.

    Google Scholar 

  • Gu, H. Y., Meng, X., Shen, T. Y., & Cui, N. N. (2020b). Spatial variation of the determinants of China’s urban floating population’s settlement intention. Acta Geographica Sinica, 75(2), 240–254.

    Google Scholar 

  • Gutierrez-Posada, D., Rubiera-Morollon, F., & Vinuela, A. (2015). Heterogeneity in the determinants of population growth at the local level analysis of the Spanish case with a GWR approach. International Regional Science Review, 40(3), 211–240.

    Google Scholar 

  • Hainmueller, J., Hangartner, D., & Pietrantuono, G. (2017). Catalyst or crown: Does naturalization promote the long-term social integration of immigrants. American Political Science Review, 111(2), 256–276.

    Google Scholar 

  • He, X. (2010). Applied multivariate statistical analysis. China Statistics Press. in Chinese.

    Google Scholar 

  • Kearns, A., & Whitley, E. (2015). Getting there? The effects of functional factors, time and place on the social integration of migrants. Journal of Ethnic and Migration Studies, 41(13), 2105–2129.

    Google Scholar 

  • Laurence, J. (2011). The effect of ethnic diversity and community disadvantage on social cohesion. European Sociological Review, 27(1), 70–89.

    Google Scholar 

  • Letki, N. (2008). Does diversity erode social cohesion? Social capital and race in British neighbourhoods. Political Studies, 56(1), 99–126.

    Google Scholar 

  • Lin, L. Y., & Zhu, Y. (2016). Spatial variation and its determinants of migrants’ hukou transfer intention of China’s prefecture- and provincial-level cities: Evidence from the 2012 national migrant population dynamic monitoring survey. Acta Geographica Sinica, 71(10), 1696–1709.

    Google Scholar 

  • Lin, Y., Zhang, Q., Chen, W., & Ling, L. (2017). The social income inequality, social integration and health status of internal migrants in China. International Journal for Equity in Health, 16(1), 139.

    Google Scholar 

  • Liu, L., Huang, Y., & Zhang, W. (2017). Residential segregation and perceptions of social integration in Shanghai China. Urban Studies, 55(7), 1484–1503.

    Google Scholar 

  • McCaa, R. (1989). Isolation or assimilation? A log linear interpretation of Australian marriages, 1947–60, 1975, and 1986. Population Studies, 43(1), 155–162.

    Google Scholar 

  • Musgrave, S. (2014). Language and social inclusion: Unexplored aspects of intercultural communication. Australian Review of Applied Linguistics, 37(3), 198–212.

    Google Scholar 

  • Naveed, A., & Wang, C. (2021). Can attitudes toward immigrant explain social integration in Europe? EU versus non-EU migrant. Social Indicators Research, 153(6), 1–39.

    Google Scholar 

  • Niu, G., & Zhao, G. (2018). Identity and trust in government: A comparison of locals and migrants in urban China. Cities, 83, 54–60.

    Google Scholar 

  • Park, R. E. (1928). Human migration and the marginal man. American Journal of Sociology, 33(6), 881–893.

    Google Scholar 

  • Piller, I. (2014). Linguistic diversity and social inclusion in Australia. Australian Review of Applied Linguistics, 37(3), 189–197.

    Google Scholar 

  • Portes, A., & Zhou, M. (1993). The new second generation: Segmented assimilation and its variants among post-1965 immigrant youth. Annals of the American Academy of Political and Social Science, 530, 74–96.

    Google Scholar 

  • Qin, Y., Ren, G., Huang, Y., Zhang, P., & Wen, K. (2021). Application of geographically weighted regression model in the estimation of surface air temperature lapse rate. Journal of Geographical Sciences, 31(3), 389–402.

    Google Scholar 

  • Remennick, L. (2004). Language acquisition, ethnicity and social integration among former Soviet immigrants of the 1990s in Israel. Ethnic and Racial Studies, 27(3), 431–454.

    Google Scholar 

  • Robinson, D. (2010). The neighbourhood effects of new immigration. Environment and Planning A, 42(10), 2451–2466.

    Google Scholar 

  • Schneeweis, N. (2011). Educational institutions and the integration of migrants. Journal of Population Economics, 24(4), 1281–1308.

    Google Scholar 

  • Schwarzweller, H. K. (2006). Parental family ties and social integration of rural to urban migrants. Journal of Marriage and the Family, 26(4), 410.

    Google Scholar 

  • Shubin, S., & Dickey, H. (2013). Integration and mobility of Eastern European migrants in Scotland. Environment and Planning A, 45(12), 2959–2979.

    Google Scholar 

  • Tobler, W. R. (1970). A computer movie simulating urban growth in the detroit region. Economic Geography, 46, 234–240.

    Google Scholar 

  • Wang, M., & Ning, Y. (2015). Social Integration of Migrants in Shanghai’s Urban Villages. Acta Geographica Sinica, 16(8), 1243–1255.

    Google Scholar 

  • Wang, W. W., & Fan, C. C. (2012). Migrant workers’ integration in urban China: Experiences in employment, social adaptation, and self-identity. Eurasian Geography and Economics, 53(6), 731–749.

    Google Scholar 

  • Wang, Z., Zhang, F., & Wu, F. (2015). Intergroup neighbouring in urban China: Implications for the social integration of migrants. Urban Studies, 53(4), 651–668.

    Google Scholar 

  • Wei, L., & Gao, F. (2017). Social media, social integration and subjective well-being among new urban migrants in China. Telematics and Informatics, 34, 786–796.

    Google Scholar 

  • Wuthnow, R., & Hackett, C. (2003). The social integration of practitioners of non-western religions in the United States. Journal for the Scientific Study of Religion, 42(4), 651–667.

    Google Scholar 

  • Yang, J. H. (2015). Research on social integration of Chinese floating population. Social Sciences in China, 2, 61–79.

    Google Scholar 

  • Yue, Z. S., Li, S. Z., Jin, X., & Feldman, M. W. (2013). The role of social networks in the integration of Chinese rural-urban migrants: A migrant-resident tie perspective. Urban Studies, 50(9), 1704–1723.

    Google Scholar 

  • Zheng, S. Q., Liao, J. P., Ren, R. R., & Cao, Y. (2011). Housing policy and economic growth of migrant workers. Economic Research Journal, 2, 73–86.

    Google Scholar 

  • Zheng, S. Q., Song, Z. D., & Sun, W. Z. (2020). Do affordable housing programs facilitate migrants’ social integration in Chinese cities. Cities. https://doi.org/10.1016/j.cities.2019.102449

    Article  Google Scholar 

  • Zhou, H. (2012). Measurement and theoretical thinking of social integration of migrants. Population Research, 36(3), 27–37.

    Google Scholar 

  • Zhu. (2002). On the urban adaptability of the peasant-worker strata. Jianghai Academic Journal, 6, 82–88.

    Google Scholar 

  • Zou, J., Chen, Y., & Chen, J. (2020). The complex relationship between neighbourhood types and migrants’ socio-economic integration: the case of urban China. Journal of Housing and the Built Environment, 35(1), 65–92.

    Google Scholar 

  • Zou, J., & Deng, X. J. (2020). Residential neighbourhood choices, capital investment and economic integration of migrants in Chinese cities. Cities. https://doi.org/10.1016/j.cities.2020.102752

    Article  Google Scholar 

  • Zou, J., & Deng, X. J. (2021). The effect and mechanism of neighbourhood choice on socioeconomic integration of migrants: Evidence from China. Journal of Community Psychology, 49, 620–652.

    Google Scholar 

Download references

Funding

The research was funded by Natural Science Foundation of Zhejiang Province (LQ21G030015), China Postdoctoral Science Foundation (2021M692844), Zhejiang women's Federation and Zhejiang women's Research association Project (202144) and Postdoctoral research base of Zhejiang University & Hangzhou International Urbanology Research Center.

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Correspondence to Xiaojun Deng.

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Zou, J., Deng, X. Spatial Differentiation and Driving Forces of Migrants’ Socio-Economic Integration in Urban China: Evidence from CMDS. Soc Indic Res 159, 1035–1056 (2022). https://doi.org/10.1007/s11205-021-02785-6

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