Dynamic Research on Housing Purchasing Power in China’s Major Cities

DOI

10.2991/978-94-6463-056-5_107How to use a DOI?

Keywords

housing purchasing power; house price-to-income ratio; the average wage of on-the-job workers

Abstract

Housing prices have always been a concern for the Chinese people. Some scholars have conducted in-depth studies on China’s real estate bubble and housing purchasing power in a few cities. Still, few have conducted analytical studies on the changes in housing purchasing power in China and major cities. Based on the data published by the National Bureau of Statistics of China, the author used a revised formula to calculate the housing purchasing power of China and major cities from 2006 to 2020. The data show that the average housing purchasing power of urban residents in China has increased by 45.59%. Still, there are significant differences among major cities, with growth rates ranging from -38.18% to 49.18%, and the number of cities with reasonable housing purchasing power has gradually increased. It suggests that China's real estate control policy should be city-specific, gradually raising the income levels of the lower-and middle-income groups and establishing a differentiated housing protection mechanism.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Houqing Wei
PY  - 2022
DA  - 2022/12/29
TI  - Dynamic Research on Housing Purchasing Power in China’s Major Cities
BT  - Proceedings of the 2022 2nd International Conference on Management Science and Software Engineering (ICMSSE 2022)
PB  - Atlantis Press
SP  - 738
EP  - 743
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-056-5_107
DO  - 10.2991/978-94-6463-056-5_107
ID  - Wei2022
ER  -