Skip to main content

2021–2025: Forecast Analysis of Increased Housing Demand in Shenzhen

  • Conference paper
  • First Online:
  • 320 Accesses

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 12996))

Abstract

High housing price and insufficient housing supply are the prominent problems facing the first-tier cities in China. And the affected factors of urban housing demand are so much, the stable housing market is so important in the process of urban development. This paper establishes a housing demand model to simulate and forecast the increased housing demand of residents in Shenzhen from 2021 to 2025 based on the housing, population, economy and human settlement survey over the years. The study found that, there will increase the demand of 1.2 million housing sets in the next five years, the current imbalance between housing supply and demand will still exist obviously in Shenzhen. So we need to standardize the development of housing rental market, vigorously develop public housing, in order to effectively alleviate the contradiction between supply and demand.

Fund Project: ShenZhen Institute of information technology, University-level project of 11400-2021-010201-0126.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   44.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   59.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. Chen, S., Ruan, B., Liu, H., Zhang, W.: Positioning and reflection on the development of housing security in Hubei Province during the 14th five-year plan period. Hubei Soc. Sci. 9, 35–42 (2020)

    Article  Google Scholar 

  2. Shan, L., Zhou, Y., Jing, W., Zhou, Z.: Livable urban planning in shenzhen in the new era: exploration and practice. Urban Plan. Rev. 7, 110–118 (2020)

    Google Scholar 

  3. Chen, Y., Chen, X.: The impact of population aging on China’s urban housing demand. Econ. Theory Econ. Manage. 5, 45–57 (2013)

    Google Scholar 

  4. Wu, J., Xu, M.: Calculation and analysis of the scale of urban new housing demand in China. Stat. Res. 9, 75–88 (2021)

    Google Scholar 

  5. Deng, H., Huang, G., Xu, S.: Impact of population structure change on housing demand: an empirical analysis based on provincial panel data from 2002 to 2016. J. Central China Normal Univ. Hum. Soc. Sci. 3, 51–59 (2019)

    Google Scholar 

  6. He, R.: Research on the demand of rent and purchase groups in Beijing based on eigenprice model. China’s Collective Econ. 29, 11–14 (2020)

    Google Scholar 

  7. Zhu, L., Li, X., Dong, J.: Research on the influencing factors of housing demand under the background of population aging – based on the analysis of population structure, housing price and other factors. Price Theory Pract. 6, 95–98 (2019)

    Google Scholar 

  8. Yang, Z., Li, Q., Hong, J.: Research on the correlation of housing demand and policy impact based on urban agglomeration. East China Econ. Manage. 11, 100–106 (2019)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2022 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Li, X., Xu, J. (2022). 2021–2025: Forecast Analysis of Increased Housing Demand in Shenzhen. In: Serhani, M.A., Zhang, LJ. (eds) Services – SERVICES 2021. SERVICES 2021. Lecture Notes in Computer Science(), vol 12996. Springer, Cham. https://doi.org/10.1007/978-3-030-96585-3_6

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-96585-3_6

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-96584-6

  • Online ISBN: 978-3-030-96585-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics