IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v11y2019i13p3507-d243106.html
   My bibliography  Save this article

Residential Mobility of Locals and Migrants in Northwest Urban China

Author

Listed:
  • Xiaoting Jia

    (State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China
    College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China)

  • Jun Lei

    (State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China
    College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China)

Abstract

With the increase in urbanization, intraurban residential mobility, which underlies urban growth and spatial restructuring, is gradually becoming an integral part of migration in China. However, little is known about the differences in residential mobility between locals and migrants, especially in urban areas in Northwest China. In this study, we aimed to fill this void by investigating the residential mobility patterns among Urumqi’s locals and migrants based on data from a survey and face-to-face interviews that were conducted in 2018. The results first show that the migrants with low homeownership rates relocated more frequently, but had less intentions to move within Urumqi, compared with the locals. A larger proportion of migrants than locals was forced to migrate. Evidence also suggests that the migration directions of locals and migrants differ: both locals and migrants tended to relocate from the southern areas, like Tianshan and Saybark Districts, to northern areas, like Xinshi and Midong Districts, which show the northward migration process of the urban population center in Urumqi. In contrast to the locals, whose net migration direction was from marginal areas to the central area, the net migration direction of migrants was from the central area to the marginal areas, contributing to the formation of migrant communities in the suburbs and spatial segregation between locals and migrants. Lastly, the locals’ intentions to move were widely influenced by age, ethnic group, type of employment, family population, housing area, and residential satisfaction; the migrants’ mobility intentions were mainly influenced by housing type and residential satisfaction. To attract more migrants to the urban areas in Northwest China, a more relaxed migrants’ household registration policy should be implemented, and the inequalities of the social security system and housing system between migrants and locals should be reduced to bridge the gap between migrants and locals.

Suggested Citation

  • Xiaoting Jia & Jun Lei, 2019. "Residential Mobility of Locals and Migrants in Northwest Urban China," Sustainability, MDPI, vol. 11(13), pages 1-23, June.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:13:p:3507-:d:243106
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/11/13/3507/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/11/13/3507/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jie Huang & David Levinson & Jiaoe Wang & Zi-jia Wang, 2018. "Tracking job and housing dynamics with smartcard data," Working Papers 2018-01, University of Minnesota: Nexus Research Group.
    2. Si-Ming Li & Fulong Wu, 2004. "Contextualizing Residential Mobility and Housing Choice: Evidence from Urban China," Environment and Planning A, , vol. 36(1), pages 1-6, January.
    3. repec:nas:journl:v:115:y:2018:p:12710-12715 is not listed on IDEAS
    4. ,, 2000. "Problems And Solutions," Econometric Theory, Cambridge University Press, vol. 16(2), pages 287-299, April.
    5. Si-Ming Li, 2004. "Life Course and Residential Mobility in Beijing, China," Environment and Planning A, , vol. 36(1), pages 27-43, January.
    6. M Lu, 1998. "Analyzing Migration Decisionmaking: Relationships between Residential Satisfaction, Mobility Intentions, and Moving Behavior," Environment and Planning A, , vol. 30(8), pages 1473-1495, August.
    7. P.B. McLeod & J.R. Ellis, 1982. "Housing Consumption Over the Family Life Cycle: an Empirical Analysis," Urban Studies, Urban Studies Journal Limited, vol. 19(2), pages 177-185, May.
    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. Tina Davoodi & Balkiz Yapicoglu & Uğur Ulaş Dağlı, 2023. "Measuring Residential Satisfaction in Historic Areas Using Actual–Aspiration Gap Theory: The Case of Famagusta, Northern Cyprus," Sustainability, MDPI, vol. 15(5), pages 1-24, February.
    2. Jooseok Oh, 2020. "Residential Mobility and Quality of Life between Metropolitan Areas: The Case of South Korea," Sustainability, MDPI, vol. 12(20), pages 1-14, October.

    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. Brian Lee & Paul Waddell, 2010. "Residential mobility and location choice: a nested logit model with sampling of alternatives," Transportation, Springer, vol. 37(4), pages 587-601, July.
    2. Stevanovic Dalibor, 2016. "Common time variation of parameters in reduced-form macroeconomic models," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 20(2), pages 159-183, April.
    3. Wenqing Chen & Melvyn Sim & Jie Sun & Chung-Piaw Teo, 2010. "From CVaR to Uncertainty Set: Implications in Joint Chance-Constrained Optimization," Operations Research, INFORMS, vol. 58(2), pages 470-485, April.
    4. A. Fadlelmawla & M. Al-Otaibi, 2005. "Analysis of the Water Resources Status in Kuwait," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 19(5), pages 555-570, October.
    5. Stefan Mišković, 2017. "A VNS-LP algorithm for the robust dynamic maximal covering location problem," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 39(4), pages 1011-1033, October.
    6. Duan, Jinyun & Li, Chenwei & Xu, Yue & Wu, Chia-Huei, 2017. "Transformational leadership and employee voice behavior: a Pygmalion mechanism," LSE Research Online Documents on Economics 68035, London School of Economics and Political Science, LSE Library.
    7. Hota, Monali & Bartsch, Fabian, 2019. "Consumer socialization in childhood and adolescence: Impact of psychological development and family structure," Journal of Business Research, Elsevier, vol. 105(C), pages 11-20.
    8. Wang, Yuxia & Cao, Wenpu & Gao, Minyi & Gao, Yukun & Chi, Xingyu & Meng, Xing & Li, Shuang & Hu, Guohua, 2024. "Examining spatial coordination of human-land-industry-service system from a regionalization approach: A case study of Beijing," Land Use Policy, Elsevier, vol. 137(C).
    9. Abernethy, Margaret A. & Vagnoni, Emidia, 2004. "Power, organization design and managerial behaviour," Accounting, Organizations and Society, Elsevier, vol. 29(3-4), pages 207-225.
    10. Minjiao Zhang & Simge Küçükyavuz & Saumya Goel, 2014. "A Branch-and-Cut Method for Dynamic Decision Making Under Joint Chance Constraints," Management Science, INFORMS, vol. 60(5), pages 1317-1333, May.
    11. Peter Burnell, 2008. "From Evaluating Democracy Assistance to Appraising Democracy Promotion," Political Studies, Political Studies Association, vol. 56(2), pages 414-434, June.
    12. M. J. Naderi & M. S. Pishvaee, 2017. "Robust bi-objective macroscopic municipal water supply network redesign and rehabilitation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(9), pages 2689-2711, July.
    13. Mammassis, Constantinos S. & Kostopoulos, Konstantinos C., 2019. "CEO goal orientations, environmental dynamism and organizational ambidexterity: An investigation in SMEs," European Management Journal, Elsevier, vol. 37(5), pages 577-588.
    14. Minghe Sun, 2005. "Warm-Start Routines for Solving Augmented Weighted Tchebycheff Network Programs in Multiple-Objective Network Programming," INFORMS Journal on Computing, INFORMS, vol. 17(4), pages 422-437, November.
    15. Viren Swami & Phik-Wern Loo & Adrian Furnham, 2010. "Public Knowledge and Beliefs About Depression Among Urban and Rural Malays in Malaysia," International Journal of Social Psychiatry, , vol. 56(5), pages 480-496, September.
    16. Libin Han & Chong Peng & Zhenyu Xu, 2022. "The Effect of Commuting Time on Quality of Life: Evidence from China," IJERPH, MDPI, vol. 20(1), pages 1-10, December.
    17. Li, Bingqin & Duda, Mark & Peng, Huamin, 2007. "Low-cost urban housing markets: serving the needs of low-wage, rural-urban migrants?," LSE Research Online Documents on Economics 21772, London School of Economics and Political Science, LSE Library.
    18. Jugend, Daniel & da Silva, Sérgio Luis & Salgado, Manoel Henrique & Miguel, Paulo Augusto Cauchick, 2016. "Product portfolio management and performance: Evidence from a survey of innovative Brazilian companies," Journal of Business Research, Elsevier, vol. 69(11), pages 5095-5100.
    19. Ruiwei Jiang & Siqian Shen & Yiling Zhang, 2017. "Integer Programming Approaches for Appointment Scheduling with Random No-Shows and Service Durations," Operations Research, INFORMS, vol. 65(6), pages 1638-1656, December.
    20. Mínguez, R. & García-Bertrand, R., 2016. "Robust transmission network expansion planning in energy systems: Improving computational performance," European Journal of Operational Research, Elsevier, vol. 248(1), pages 21-32.

    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:gam:jsusta:v:11:y:2019:i:13:p:3507-:d:243106. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.