Research Article
Open access
Published on 31 July 2024
Download pdf
Zhou,S. (2024). Investigation of Influential Factors of Housing Price. Advances in Economics, Management and Political Sciences,105,55-62.
Export citation

Investigation of Influential Factors of Housing Price

Shengjie Zhou *,1,
  • 1 UC SanDiego

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2754-1169/105/20241950

Abstract

The fluctuation of housing prices and its influencing factors are important research topics in economics. Under the current background of rapid globalization and urbanization, understanding the driving factors of housing prices is not only an important contribution to academic research but also has important guiding significance for policymakers and individual home buyers. This paper explores the key factors affecting housing prices, focusing on the impact of variables such as living space, land space, housing landscape, housing conditions, housing quality, and housing construction year on housing prices. This study uses multiple regression analysis to analyze the US housing price data set. The results show that living space, housing landscape, housing quality, and housing construction year have statistically significant effects on housing prices at a significance level of 1%. This study provides an effective reference to real estate developers, policymakers, and individual home buyers, which can help them understand market demand more deeply, make decisions that are more in line with market trends, and promote the dynamic and functional development of the real estate market.

Keywords

Real Estate, Housing Price, Predictive Analytics, Market Insights

[1]. Bernstein, J., Tedeschi, Ernie., & Robinson, S. Housing Prices and Inflation, by The White House. Sep 9, 2021. https://www.whitehouse.gov/cea/written-materials/2021/09/09/housing-prices-and inflation/#:~:text=Rising%20home%20prices%20have%20direct,important%20role%20in%20overall%20inflation.

[2]. Cerutti, E., Dagher, J., & Dell'Ariccia, G. Housing finance and real-estate booms: A cross-country perspective. [J] Journal of Housing Economics, vol. 38, 2017, pp.1-13.

[3]. Kurniawan, C., Dewi, L. C., Maulatsih, W., & Gunadi, W. Factors influencing housing purchase decisions of millennial generation in Indonesia. [J] International Journal of Management, vol. 11, no. 4, 2020, pp.350-365.

[4]. San Ong, T. Factors affecting the price of housing in Malaysia. Journal of Emerging Issues Economics, Finance and Banking (JEIEFB), vol. 1, no. 5, 2013, pp. 414-429.

[5]. Li, Y., Zhu, D., Zhao, J., Zheng, X., & Zhang, L. Effect of the housing purchase restriction policy on the Real Estate Market: Evidence from a typical suburb of Beijing, China. [J] Land Use Policy, vol. 94, no. 104528, 2020.

[6]. Wittowsky, D., Hoekveld, J., Welsch, J., & Steier, M. Residential housing prices: impact of housing characteristics, accessibility and neighbouring apartments–a case study of Dortmund, Germany. [J] Urban, Planning and Transport Research, vol. 8, no. 1, 2020, pp.44-70.

[7]. Yang, L., Yu, B., Liang, Y., Lu, Y., & Li, W. Time-varying and non-linear associations between metro ridership and the built environment. [J] Tunnelling and Underground Space Technology, vol. 132, no. 104931, 2023.

[8]. Duca, J. V., Muellbauer, J., & Murphy, A. What drives house price cycles? International experience and policy issues. [J] Journal of Economic Literature, vol. 59, no.3, 2021, pp.773-864.

[9]. Fischer, M. M., Huber, F., Pfarrhofer, M., & Staufer‐Steinnocher, P. The dynamic impact of monetary policy on regional housing prices in the United States. [J] Real Estate Economics, vol. 4, no.4, 2021, pp/1039-1068.

[10]. Battisti, E., Shams, S. R., Sakka, G., & Miglietta, N. Big data and risk management in business processes: implications for corporate real estate. [J] Business Process Management Journal, vol. 26, no.5, 2021, pp.1141-1155.

[11]. Jia, M., Liu, Y., Lieske, S. N., & Chen, T. Public policy change and its impact on urban expansion: An evaluation of 265 cities in China. [J] Land Use Policy, vol. 97, no.104754, 2020.

Cite this article

Zhou,S. (2024). Investigation of Influential Factors of Housing Price. Advances in Economics, Management and Political Sciences,105,55-62.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

Disclaimer/Publisher's Note

The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of EWA Publishing and/or the editor(s). EWA Publishing and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

About volume

Volume title: Proceedings of the 3rd International Conference on Financial Technology and Business Analysis

Conference website: https://2024.icftba.org/
ISBN:978-1-83558-539-9(Print) / 978-1-83558-540-5(Online)
Conference date: 4 December 2024
Editor:Ursula Faura-Martínez
Series: Advances in Economics, Management and Political Sciences
Volume number: Vol.105
ISSN:2754-1169(Print) / 2754-1177(Online)

© 2024 by the author(s). Licensee EWA Publishing, Oxford, UK. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license. Authors who publish this series agree to the following terms:
1. Authors retain copyright and grant the series right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this series.
2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the series's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this series.
3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See Open access policy for details).