Author(s)

Yu Kexin ¹

Affiliation(s)

¹ School of Government, Beijing Normal University, Beijing, 100089, China

Corresponding Author

Yu Kexin

ABSTRACT

This article is based on the Hedonic model and selects 36 sets of price related characteristic data and 12 characteristic variables from Zhengzhou City in 2019. Linear models, logarithmic models, semi logarithmic models, and other functional forms are used for regression analysis and continuous optimization. The conclusion drawn in this article is that the distance from CBD and property fees have a significant impact on residential prices.

KEYWORDS

Hedonic model, Residential characteristics, Influencing factors

CITE THIS PAPER

Yu Kexin, Factors Influencing Price Based on Hedonic Model. Financial Engineering and Risk Management (2023) Vol. 6: 93-97. DOI: http://dx.doi.org/10.23977/ferm.2023.060611.

REFERENCES

[1] Liu Meifang, Liu Weiyue. An Empirical Study on the Influencing Factors of Commercial Housing Prices in Tianjin -—Based on the Analysis of Multiple Linear Regression Model. Times Economic and Trade, 2017 (16): 84-87
[2] Wu Yuanyuan. Analysis on the Influencing Factors of Urban Housing Price -- Based on the Hedonic Price Model. Times Finance, 2014 (35): 332
[3] Zhang Mengna, Jia Dezheng. Research on the Influencing Factors of Price Based on Hedonic Model: a Case Study of Shanghai Wujiaochang Second Hand House. Modern Commerce, 2018 (08): 189-190
[4] Guo Wengang, Cui Xinming, Wen Haizhen. Analysis of Characteristic Price of Urban Housing: an Empirical Study of Hangzhou. Economic Geography, 2006 (s1): 172-175 + 187
[5] Feng Bo, Guo Wei, Chen Xin. Analysis on Influencing Factors of Residential Land Price in Beijing: an Empirical Study Based on Hedonic Price Model. China Prices, 2016 (11): 53-55

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