Explore the Factors Affecting the Housing Prices in Wuhan

Jiahe Bao ()
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Jiahe Bao: Huazhong University of Science and Technology

A chapter in Proceedings of the 2025 5th International Conference on Enterprise Management and Economic Development (ICEMED 2025), 2025, pp 568-576 from Springer

Abstract: Abstract In recent years, China’s economy has continued to grow and the urbanization process is accelerating. The real estate market is also of great significance to promoting social stability and improving people’s quality of life. Based on the perspective of big data in this paper, a multiple linear regression model is used to analyse the development of the Wuhan real estate market. The main factors affecting housing prices and their operating mechanisms are discussed by analysing the trend of actual housing prices from 2010 to 2022 and combining them with key factors such as economic indicators, land supply, and housing sales. The study found that the housing price in Wuhan has experienced a process from the initial slow growth in 2010 to the rapid rise in the middle term and then to the recent decline and stabilisation. House prices are expected to remain stable in the next few years. This paper’s research results can help understand the operation law of the Wuhan real estate market.

Keywords: Wuhan Real Estate; Big Data Analysis; Housing Price Forecast; Multiple And Linear Regression (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-811-0_59

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DOI: 10.2991/978-94-6463-811-0_59

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