Proceedings of the 2022 2nd International Conference on Business Administration and Data Science (BADS 2022)

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Factors influencing housing consumption of urban residents in China

based on principal component analysis

Authors
Jing Yang1, *
1Shanghai Institute of Technology, Shanghai, China
*Corresponding author. Email: yangjingyaojiayou@163.com
Corresponding Author
Jing Yang
Available Online 29 December 2022.
DOI
10.2991/978-94-6463-102-9_111How to use a DOI?
Keywords
Housing consumption of urban residents; influencing factors; principal component analysis method
Abstract

With the completion of a moderately prosperous society in China, the 14th Five-Year Plan of China and the proposal of the 2035 vision highlight the need to solidly promote common prosperity, while housing consumption is a fundamental requirement for achieving common prosperity. Therefore, it is of practical significance to study the influencing factors of housing consumption in China for the harmonious development of the whole society and economy. This paper uses principal component analysis to identify the main influencing factors and outstanding problems affecting housing consumption of urban residents in China by using relevant data from various cities in the National Statistical Yearbook, so as to propose countermeasures and suggestions for the conclusion and enable the healthy development of housing consumption in China.

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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Volume Title
Proceedings of the 2022 2nd International Conference on Business Administration and Data Science (BADS 2022)
Series
Atlantis Highlights in Computer Sciences
Publication Date
29 December 2022
ISBN
10.2991/978-94-6463-102-9_111
ISSN
2589-4900
DOI
10.2991/978-94-6463-102-9_111How to use a DOI?
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.

Cite this article

risenwbib
TY  - CONF
AU  - Jing Yang
PY  - 2022
DA  - 2022/12/29
TI  - Factors influencing housing consumption of urban residents in China
BT  - Proceedings of the 2022 2nd International Conference on Business Administration and Data Science (BADS 2022)
PB  - Atlantis Press
SP  - 1065
EP  - 1070
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-102-9_111
DO  - 10.2991/978-94-6463-102-9_111
ID  - Yang2022
ER  -