GEOGRAPHICAL RESEARCH ›› 2018, Vol. 37 ›› Issue (3): 564-576.doi: 10.11821/dlyj201803009

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The diversity of different groups' job-housing patterns and their impact factors under the background of institutional transformation: A case study of Guangzhou, China

Jiting ZHANG(), Suhong ZHOU()   

  1. 1. School of Geography and Planning, Sun Yat-sen University, Guangdong Key Laboratory for Urbanization and Geo-simulation, Guangzhou 510275, China
  • Received:2017-09-04 Revised:2017-12-07 Online:2018-03-15 Published:2018-03-15
  • About author:

    Author: Shi Zhenqin (1988-), PhD, specialized in regional development and land space management in mountain areas. E-mail:

    *Corresponding author: Deng Wei (1957-), Professor, specialized in mountain environment and regional development.



Job-housing relationship is one of the most important topics in urban studies. Because of the institutional transformation in China, people who work inside-system or live in urban areas may enjoy more welfare than those who work outside-system or live in rural areas, which makes the social differentiation unique. Dividing people into groups based on attributes related to institutional transformation and investigating what influences different groups' different job-housing situations can help to understand the internal mechanism of how the job-housing situations form in urban China. Mainly according to the result data of a questionnaire with a sample size of 1029, which was finished in Guangzhou in 2016, with the help of the point of interest and the road distribution data of Guangzhou in 2014, as well as the sixth census data of Guangzhou, two-step cluster and multinomial logistic regression are employed to figure out the mechanism. After clustering, three typical job-housing models were defined according to job-housing distance as well as the location of working and living place, and three social groups were defined according to residents' socioeconomic status. And then multinomial logistic regression was employed to compare the different reasons that influence different groups' job-housing situation. The results show that compared to the job-housing balance group, the outside-system group who have steady jobs try to achieve the highest comfort and convenience with the lowest living cost and they are willing to bear long commute for better living condition, so their job-housing models are influenced by the built environment mostly. When it comes to inside-system group, different from the outside-system group, on the one hand, they live in the unit community in the past, so they are used to the close-knit communities, and influenced by community environment obviously, on the other hand, they are influenced by social characters obviously, including marital status and the number of students in the family. The group of people without steady jobs are those who engage in business or have retired and get an informal job again. They have the highest freedom while deciding where to work and where to live, so their decisions about job-housing location are only slightly influenced by some factors about built environment, and the job-housing balance ratio of this group is the highest. This research tries to figure out the mechanism of how different social groups determine their job-housing location in the context of China's unique institutional transformation, and act as references to urban planners and policy makers while putting forward some advice to optimize it.

Key words: job-housing balance, job-housing model, social groups, multinomial logistic regression, Guangzhou