IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v12y2020i12p5206-d376534.html
   My bibliography  Save this article

Spatial Heterogeneity of Housing Space Consumption in Urban China: Locals vs. Inter-and Intra-Provincial Migrants

Author

Listed:
  • Yuting Cao

    (College of Resource Environment and Tourism, Capital Normal University, No.105 West 3rd Ring Road North, Beijing 100048, China)

  • Ran Liu

    (College of Resource Environment and Tourism, Capital Normal University, No.105 West 3rd Ring Road North, Beijing 100048, China)

  • Wei Qi

    (Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100864, China)

  • Jin Wen

    (College of Resource Environment and Tourism, Capital Normal University, No.105 West 3rd Ring Road North, Beijing 100048, China)

Abstract

The relationships between migration and housing congestion have attracted attention in engaging the public against the COVID-19 pandemic and some other public health crises. In recent years in China, promoting the citizenization (“shimin hua”) of migrants and improving the quality of urbanization have become the focus of attention in the new-type urbanization today. The housing space consumption of migrants is one of the important indices to look into regarding their real living status in the receiving cities: how do the housing consumption behavior and residential quality vary between the local, inter- and intra-provincial migratory patterns? This article uses the micro household data of the 1% population sampling survey conducted in 2015 by the National Bureau of Statistics of China to look into the spatial variance of the aggregate housing space consumption behaviors of the local and non-local population at the prefectural level and above in urban China. This study finds that: (a) the longer migratory pattern indicates a thriftier housing space consumption that implies a higher probability of residential overcrowding among the inter-provincial migrants; at the same time, the locals enjoy the greater living comfort than their migrant peers; (b) the spatial variance in terms of housing space consumption can be attributed to a series of destination city contexts, such as the geological background, city administrative rank, areal location, local-nonlocal demography, municipal economic growth, and the local residential development levels. The results show that the more “targeted” housing policies are needed to solve the housing difficulties with migrant workers for a goal of human-centered urbanization development. Although we lack the more detailed data-sets to examine the correlation between public health risks (like the COVID-19 pandemic) and housing congestion problems (especially with the population on the move), this research is still illuminating in terms of how to cut down the public health risk in a highly mobile and rapidly urbanizing context like China.

Suggested Citation

  • Yuting Cao & Ran Liu & Wei Qi & Jin Wen, 2020. "Spatial Heterogeneity of Housing Space Consumption in Urban China: Locals vs. Inter-and Intra-Provincial Migrants," Sustainability, MDPI, vol. 12(12), pages 1-26, June.
  • Handle: RePEc:gam:jsusta:v:12:y:2020:i:12:p:5206-:d:376534
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/12/12/5206/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/12/12/5206/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sari Pekkala Kerr & William Kerr & Çağlar Özden & Christopher Parsons, 2016. "Global Talent Flows," Journal of Economic Perspectives, American Economic Association, vol. 30(4), pages 83-106, Fall.
    2. Sheng Li & Lanlan Wang & Kuo-Liang Chang, 2018. "Do internal migrants suffer from housing extreme overcrowding in urban China?," Housing Studies, Taylor & Francis Journals, vol. 33(5), pages 708-733, July.
    3. Matej Buzinkai & František Škvrnda, 2014. "The development of the Chinese household registration system and its influence on the current economic development of the country," Society and Economy, Akadémiai Kiadó, Hungary, vol. 36(2), pages 199-215, June.
    4. Weiping Wu, 2004. "Sources of Migrant Housing Disadvantage in Urban China," Environment and Planning A, , vol. 36(7), pages 1285-1304, July.
    5. Si-ming Li, 2000. "Housing Consumption in Urban China: A Comparative Study of Beijing and Guangzhou," Environment and Planning A, , vol. 32(6), pages 1115-1134, June.
    6. C Cindy Fan & Mingjie Sun & Siqi Zheng, 2011. "Migration and Split Households: A Comparison of Sole, Couple, and Family Migrants in Beijing, China," Environment and Planning A, , vol. 43(9), pages 2164-2185, September.
    7. Hayne E. Leland, 1968. "Saving and Uncertainty: The Precautionary Demand for Saving," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 82(3), pages 465-473.
    8. Larry A. Sjaastad, 1970. "The Costs and Returns of Human Migration," Palgrave Macmillan Books, in: Harry W. Richardson (ed.), Regional Economics, chapter 9, pages 115-133, Palgrave Macmillan.
    9. Poncet, Sandra, 2006. "Provincial migration dynamics in China: Borders, costs and economic motivations," Regional Science and Urban Economics, Elsevier, vol. 36(3), pages 385-398, May.
    10. Li Zhang & Li Tao, 2012. "Barriers to the Acquisition of Urban Hukou in Chinese Cities," Environment and Planning A, , vol. 44(12), pages 2883-2900, December.
    11. Dallas Rogers & Emma Power, 2020. "Housing policy and the COVID-19 pandemic: the importance of housing research during this health emergency," International Journal of Housing Policy, Taylor & Francis Journals, vol. 20(2), pages 177-183, April.
    12. Rosenzweig, Mark R & Stark, Oded, 1989. "Consumption Smoothing, Migration, and Marriage: Evidence from Rural India," Journal of Political Economy, University of Chicago Press, vol. 97(4), pages 905-926, August.
    13. Youqin Huang & Leiwen Jiang, 2009. "Housing Inequality in Transitional Beijing," International Journal of Urban and Regional Research, Wiley Blackwell, vol. 33(4), pages 936-956, December.
    14. Bashir, S.A., 2002. "Home is where the harm is: Inadequate housing as a public health crisis," American Journal of Public Health, American Public Health Association, vol. 92(5), pages 733-738.
    15. Lim, Gill-Chin & Lee, Man-Hyung, 1993. "Housing Consumption in Urban China," The Journal of Real Estate Finance and Economics, Springer, vol. 6(1), pages 89-102, January.
    16. Borjas, George J., 2002. "Homeownership in the immigrant population," Journal of Urban Economics, Elsevier, vol. 52(3), pages 448-476, November.
    17. Lishuo Shi & Wen Chen & Jiaqi Xu & Li Ling, 2020. "Trends and Characteristics of Inter-Provincial Migrants in Mainland China and Its Relation with Economic Factors: A Panel Data Analysis from 2011 to 2016," Sustainability, MDPI, vol. 12(2), pages 1-23, January.
    18. Yongjin Li & David López-Carr & Wenjiang Chen, 2014. "Factors Affecting Migration Intentions in Ecological Restoration Areas and Their Implications for the Sustainability of Ecological Migration Policy in Arid Northwest China," Sustainability, MDPI, vol. 6(12), pages 1-22, November.
    19. Chengdong Yi & Youqin Huang, 2014. "Housing Consumption and Housing Inequality in Chinese Cities During the First Decade of the Twenty-First Century," Housing Studies, Taylor & Francis Journals, vol. 29(2), pages 291-311, March.
    20. Zhou, Yexin & Chen, Mo & Ye, Jingyi, 2014. "Self-employment Choices of Rural Migrants in China: Distance and Social Network," Stockholm School of Economics Asia Working Paper Series 2014-31, Stockholm School of Economics, Stockholm China Economic Research Institute.
    21. Antunes, José Leopoldo Ferreira & Waldman, Eliseu Alves, 2001. "The impact of AIDS, immigration and housing overcrowding on tuberculosis deaths in São Paulo, Brazil, 1994-1998," Social Science & Medicine, Elsevier, vol. 52(7), pages 1071-1080, April.
    22. Thomas Gries & Manfred Kraft & Manuel Simon, 2016. "Explaining inter-provincial migration in China," Papers in Regional Science, Wiley Blackwell, vol. 95(4), pages 709-731, November.
    23. Li, Bingqin & Duda, Mark & An, Xiangsheng, 2009. "Drivers of housing choice among rural-to-urban migrants: evidence from Taiyuan," LSE Research Online Documents on Economics 24978, London School of Economics and Political Science, LSE Library.
    24. Gabriele Giorgi & Luigi Isaia Lecca & Antonio Ariza-Montes & Chiara Di Massimo & Marcello Campagna & Georgia Libera Finstad & Giulio Arcangeli & Nicola Mucci, 2020. "The Dark and the Light Side of the Expatriate’s Cross-Cultural Adjustment: A Novel Framework Including Perceived Organizational Support, Work Related Stress and Innovation," Sustainability, MDPI, vol. 12(7), pages 1-15, April.
    25. Meike Wolf, 2016. "Rethinking Urban Epidemiology: Natures, Networks and Materialities," International Journal of Urban and Regional Research, Wiley Blackwell, vol. 40(5), pages 958-982, September.
    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. Wenjie Cai & Zhiqi Shen, 2024. "Heterogeneity, Differentiation Mechanisms and Social Effects of Urban Residential Space in China’s Large Cities: A Case Study of Wuhan," Land, MDPI, vol. 13(1), pages 1-17, January.
    2. Xueying Mu & Can Cui & Wei Xu, 2024. "Stagnation or upward mobility? The influence of achieved and ascribed factors on the housing careers of residents in Shanghai," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-13, December.
    3. Tianyi Li & Jiawen Luo & Cunrui Huang, 2021. "Urban Epidemic Hazard Index for Chinese Cities: Why Did Small Cities Become Epidemic Hotspots?," Papers 2103.05189, arXiv.org.
    4. Carson Duan, 2024. "Immigrant Consumption Behaviors: A Systematic Integrative Review and Future Research Agenda," World, MDPI, vol. 5(2), pages 1-29, May.
    5. Aybegüm Güngördü Belbağ, 2022. "Impacts of Covid‐19 pandemic on consumer behavior in Turkey: A qualitative study," Journal of Consumer Affairs, Wiley Blackwell, vol. 56(1), pages 339-358, March.

    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. Yuting Cao & Ran Liu & Wei Qi & Jin Wen, 2020. "Urban Land Regulation and Heterogeneity of Housing Conditions of Inter-Provincial Migrants in China," Land, MDPI, vol. 9(11), pages 1-21, November.
    2. Juan Ming & Jiachun Liu & Zicheng Wang, 2020. "Does the Homeownership Gap Between Rural–Urban Migrants and Urban–Urban Migrants in China Vary by Income?," SAGE Open, , vol. 10(4), pages 21582440209, November.
    3. Sun, Nan & Yang, Fan, 2021. "Impacts of internal migration experience on health among middle-aged and older adults—Evidence from China," Social Science & Medicine, Elsevier, vol. 284(C).
    4. Julia Gabriele Harten & Annette M Kim & J Cressica Brazier, 2021. "Real and fake data in Shanghai’s informal rental housing market: Groundtruthing data scraped from the internet," Urban Studies, Urban Studies Journal Limited, vol. 58(9), pages 1831-1845, July.
    5. Yuqu Wang & Zehong Wang & Chunshan Zhou & Ying Liu & Song Liu, 2020. "On the Settlement of the Floating Population in the Pearl River Delta: Understanding the Factors of Permanent Settlement Intention versus Housing Purchase Actions," Sustainability, MDPI, vol. 12(22), pages 1-20, November.
    6. Mariapia Mendola, 2004. "Migration and Technological Change in Rural Households: Complements or Substitutes?," Development Working Papers 195, Centro Studi Luca d'Agliano, University of Milano.
    7. Luc Christiaensen & Joachim Weerdt & Yasuyuki Todo, 2013. "Urbanization and poverty reduction: the role of rural diversification and secondary towns," Agricultural Economics, International Association of Agricultural Economists, vol. 44(4-5), pages 435-447, July.
    8. Jean Philippe Décieux & Alexandra Mergener, 2021. "German Labor Emigration in Times of Technological Change: Occupational Characteristics and Geographical Patterns," Sustainability, MDPI, vol. 13(3), pages 1-18, January.
    9. Junhua Chen & Shufan Ma & Na Liu, 2023. "Multi-dimensional Housing Inequality Index: The Provincial Evidence from China," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 165(2), pages 633-654, January.
    10. repec:phd:pjdevt:pjd_2006_vol._xxxiii_nos._1and2-a is not listed on IDEAS
    11. Zhiling Wang & Lu Chen, 2019. "Destination choices of Chinese rural–urban migrant workers: Jobs, amenities, and local spillovers," Journal of Regional Science, Wiley Blackwell, vol. 59(3), pages 586-609, June.
    12. Lishan Xiao & Quanyi Qiu & Lijie Gao, 2016. "Chinese Housing Reform and Social Sustainability: Evidence from Post-Reform Home Ownership," Sustainability, MDPI, vol. 8(10), pages 1-14, October.
    13. Abramitzky, Ran & Boustan, Leah Platt & Eriksson, Katherine, 2013. "Have the poor always been less likely to migrate? Evidence from inheritance practices during the age of mass migration," Journal of Development Economics, Elsevier, vol. 102(C), pages 2-14.
    14. Quisumbing, Agnes R. & McNiven, Scott, 2005. "Migration and the rural-urban continuum: Evidence from the Rural Philippines," FCND discussion papers 197, International Food Policy Research Institute (IFPRI).
    15. Ting Li & Wenting Fan & Jian Song, 2020. "The Household Structure Transition in China: 1982–2015," Demography, Springer;Population Association of America (PAA), vol. 57(4), pages 1369-1391, August.
    16. C. Cindy Fan & Chen Chen, 2020. "Left Behind? Migration Stories of Two Women in Rural China," Social Inclusion, Cogitatio Press, vol. 8(2), pages 47-57.
    17. Shenjing He & George CS Lin, 2015. "Producing and consuming China’s new urban space: State, market and society," Urban Studies, Urban Studies Journal Limited, vol. 52(15), pages 2757-2773, November.
    18. Sidong Zhao & Kaixu Zhao & Ping Zhang, 2021. "Spatial Inequality in China’s Housing Market and the Driving Mechanism," Land, MDPI, vol. 10(8), pages 1-33, August.
    19. Besley, Timothy, 1995. "Savings, credit and insurance," Handbook of Development Economics, in: Hollis Chenery & T.N. Srinivasan (ed.), Handbook of Development Economics, edition 1, volume 3, chapter 36, pages 2123-2207, Elsevier.
    20. Filippo Pericoli & Luigi Ventura, 2012. "Family dissolution and precautionary savings: an empirical analysis," Review of Economics of the Household, Springer, vol. 10(4), pages 573-595, December.
    21. Shuming Bao & Örn B. Bodvarsson & Jack W. Hou & Yaohui Zhao, 2011. "The Regulation Of Migration In A Transition Economy: China'S Hukou System," Contemporary Economic Policy, Western Economic Association International, vol. 29(4), pages 564-579, October.

    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:12:y:2020:i:12:p:5206-:d:376534. 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.