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The Measurement Method of Housing Affordability

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The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy (SPIOT 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1283))

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Abstract

According to the data of China’s economic blue book in 2010, 85% of the families have difficulties in housing payment. Therefore, the key problem in identifying housing poverty is to determine the purchasing power of commercial housing and the measurement method. This paper introduces several commonly used methods of housing affordability measurement, and analyzes the application scope, advantages and disadvantages of various methods.

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Acknowledgements

This work was supported by Research on the nature and orientation of social insurance agency, a doctoral research fund project of Wuhan Business University (2017KB010).

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Authors and Affiliations

  1. Department of Business Administration, Wuhan Business University, Wuhan, Hubei, China

    Fang Yang & Lingni Wan

Authors
  1. Fang Yang
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  2. Lingni Wan
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Corresponding author

Correspondence to Fang Yang .

Editor information

Editors and Affiliations

  1. David Goldman Informatics Centre, University of Sunderland, Sunderland, UK

    John MacIntyre

  2. University of Shanghai for Science and Technology, Shanghai, China

    Jinghua Zhao

  3. Shenzhen University, Shenzen, Guangdong, China

    Xiaomeng Ma

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© 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG

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Yang, F., Wan, L. (2021). The Measurement Method of Housing Affordability. In: MacIntyre, J., Zhao, J., Ma, X. (eds) The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy. SPIOT 2020. Advances in Intelligent Systems and Computing, vol 1283. Springer, Cham. https://doi.org/10.1007/978-3-030-62746-1_56

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