IDEAS home Printed from https://ideas.repec.org/a/spr/soinre/v159y2022i3d10.1007_s11205-021-02785-6.html
   My bibliography  Save this article

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

Author

Listed:
  • Jing Zou

    (Zhejiang University of Finance and Economics)

  • Xiaojun Deng

    (Zhejiang University of Finance and Economics)

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.

Suggested Citation

  • Jing Zou & Xiaojun Deng, 2022. "Spatial Differentiation and Driving Forces of Migrants’ Socio-Economic Integration in Urban China: Evidence from CMDS," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 159(3), pages 1035-1056, February.
    • Handle: RePEc:spr:soinre:v:159:y:2022:i:3:d:10.1007_s11205-021-02785-6
    DOI: 10.1007/s11205-021-02785-6
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11205-021-02785-6
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11205-021-02785-6?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Démurger, Sylvie & Gurgand, Marc & Li, Shi & Yue, Ximing, 2009. "Migrants as second-class workers in urban China? A decomposition analysis," Journal of Comparative Economics, Elsevier, vol. 37(4), pages 610-628, December.
    2. Amjad Naveed & Cong Wang, 2021. "Can Attitudes Toward Immigrant Explain Social Integration in Europe? EU versus Non-EU Migrant," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 153(1), pages 345-383, January.
    3. Nicole Schneeweis, 2011. "Educational institutions and the integration of migrants," Journal of Population Economics, Springer;European Society for Population Economics, vol. 24(4), pages 1281-1308, October.
    4. Natalia Letki, 2008. "Does Diversity Erode Social Cohesion? Social Capital and Race in British Neighbourhoods," Political Studies, Political Studies Association, vol. 56, pages 99-126, March.
    5. Daniel A. Griffith, 2003. "Spatial Autocorrelation and Spatial Filtering," Advances in Spatial Science, Springer, number 978-3-540-24806-4.
    6. Hainmueller, Jens & Hangartner, Dominik & Pietrantuono, Giuseppe, 2017. "Catalyst or Crown: Does Naturalization Promote the Long-Term Social Integration of Immigrants?," American Political Science Review, Cambridge University Press, vol. 111(2), pages 256-276, May.
    7. Natalia Letki, 2008. "Does Diversity Erode Social Cohesion? Social Capital and Race in British Neighbourhoods," Political Studies, Political Studies Association, vol. 56(1), pages 99-126, March.
    8. Sergei Shubin & Heather Dickey, 2013. "Integration and Mobility of Eastern European Migrants in Scotland," Environment and Planning A, , vol. 45(12), pages 2959-2979, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zou, Jing & Chen, Jie & Chen, Yu, 2022. "Hometown landholdings and rural migrants’ integration intention: The case of urban China," Land Use Policy, Elsevier, vol. 121(C).
    2. Jiangang Shi & Wenwen Hua & Daizhong Tang & Fang Liu, 2022. "Sustainable Community Transformation and Community Integration of Agricultural Transfer Population—A Case Study from China," Sustainability, MDPI, vol. 14(13), pages 1-17, June.
    3. Mi Yan & Qingmiao Li & Yan Song, 2024. "Spatial and Temporal Distribution Characteristics and Influential Mechanisms of China’s Industrial Landscape Based on Geodetector," Land, MDPI, vol. 13(6), pages 1-23, May.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zou, Jing & Deng, Xiaojun, 2022. "To inhibit or to promote: How does the digital economy affect urban migrant integration in China?," Technological Forecasting and Social Change, Elsevier, vol. 179(C).
    2. Zou, Jing & Deng, Xiaojun, 2022. "Housing tenure choice and socio-economic integration of migrants in rising cities of China," China Economic Review, Elsevier, vol. 74(C).
    3. Karl McShane, 2017. "Getting Used to Diversity? Immigration and Trust in Sweden," Economics Bulletin, AccessEcon, vol. 37(3), pages 1895-1910.
    4. Anne Marie Jeannet, 2017. "The Rational Public? Internal Migration and Collective Opinion about the European Union," Working Papers 103, "Carlo F. Dondena" Centre for Research on Social Dynamics (DONDENA), Università Commerciale Luigi Bocconi.
    5. Chau-kiu Cheung & Stephen Ma, 2011. "Coupling Social Solidarity and Social Harmony in Hong Kong," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 103(1), pages 145-167, August.
    6. Hayden Armstrong & Jeremy Clark, 2013. "Does higher social diversity affect people's contributions to local schools? Evidence from New Zealand," New Zealand Economic Papers, Taylor & Francis Journals, vol. 47(2), pages 188-223, August.
    7. Gereke, Johanna & Schaub, Max & Baldassarri, Delia, 2018. "Ethnic diversity, poverty and social trust in Germany: Evidence from a behavioral measure of trust," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 13(7), pages 1-15.
    8. John Bwalya & Cecil Seethal, 2016. "Neighbourhood context and social cohesion in Southernwood, East London, South Africa," Urban Studies, Urban Studies Journal Limited, vol. 53(1), pages 40-56, January.
    9. Andrés Rodríguez-Pose & Daniel Hardy, 2015. "Cultural Diversity and Entrepreneurship in England and Wales," Environment and Planning A, , vol. 47(2), pages 392-411, February.
    10. Bharathi, Naveen & Malghan, Deepak & Rahman, Andaleeb, 2018. "Isolated by Caste: Neighbourhood-Scale Residential Segregation in Indian Metros," SocArXiv 9ynpz, Center for Open Science.
    11. Tak Wing Chan & Juta Kawalerowicz, 2022. "Social Diversity and Social Cohesion in Britain," DoQSS Working Papers 22-10, Quantitative Social Science - UCL Social Research Institute, University College London.
    12. Kitty Lymperopoulou, 2020. "Immigration and Ethnic Diversity in England and Wales Examined Through an Area Classification Framework," Journal of International Migration and Integration, Springer, vol. 21(3), pages 829-846, September.
    13. Kustov, Alexander & Pardelli, Giuliana, 2024. "Beyond Diversity: The Role of State Capacity in Fostering Social Cohesion in Brazil," World Development, Elsevier, vol. 180(C).
    14. Linda Bakker & Karien Dekker, 2012. "Social Trust in Urban Neighbourhoods: The Effect of Relative Ethnic Group Position," Urban Studies, Urban Studies Journal Limited, vol. 49(10), pages 2031-2047, August.
    15. Salomon, Katja, 2020. "Dynamics of immigrant resentment in Europe," Discussion Papers, Presidential Department P 2020-002, WZB Berlin Social Science Center.
    16. Andrea Wigfield & Royce Turner, 2013. "The Development of the Good Relations Measurement Framework in Britain: A Template for Experiential Social Measurement," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 114(2), pages 655-686, November.
    17. Antti Kouvo & Carita Lockmer, 2013. "Imagine all the Neighbours: Perceived Neighbourhood Ethnicity, Interethnic Friendship Ties and Perceived Ethnic Threat in Four Nordic Countries," Urban Studies, Urban Studies Journal Limited, vol. 50(16), pages 3305-3322, December.
    18. Zheng Wu & Feng Hou & Christoph Schimmele & Adam Carmichael, 2018. "Co-ethnic concentration and trust in Canada’s urban neighbourhoods," Urban Studies, Urban Studies Journal Limited, vol. 55(10), pages 2159-2178, August.
    19. Chau-kiu Cheung & Raymond Chan & Wing-chung Ho, 2014. "Feeling Close to Fellow Citizens in Hong Kong, Korea, Taiwan, and Thailand," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 119(1), pages 25-48, October.
    20. Tim Reeskens, 2013. "But Who Are Those “Most People” That Can Be Trusted? Evaluating the Radius of Trust Across 29 European Societies," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 114(2), pages 703-722, November.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:soinre:v:159:y:2022:i:3:d:10.1007_s11205-021-02785-6. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.