Prediction on Average Price of Commercial Housing in Sichuan Province and Analysis of Influencing Factors Based on Grey System Theory

DOI

10.2991/aebmr.k.200908.011How to use a DOI?

Keywords

commercial housing of Sichuan Province, average price prediction, influencing factors, grey system theory

Abstract

Real estate is of great significance to a country’s economy and people’s livelihood, and the future price of real estate and its influencing factors can directly reflect the real estate market. This article builds a grey prediction model, referred to as the Gray Model (1, 1), based on the average price of commercial housing in Sichuan Province in the past ten years, and predicts the average price of commercial housing in Sichuan in the next three years. Through the grey correlation analysis method, the factors influencing the average price of commercial housing are quantified. Finally, the market of commercial housing in Sichuan Province is summarized, and suggestions are put forward for the healthy, sustainable and high-benefit development of the market.

Copyright

© 2020, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Jiaying Li
AU  - Enchi Liang
AU  - Huaxue Zhuang
AU  - Cheng Liu
PY  - 2020
DA  - 2020/09/08
TI  - Prediction on Average Price of Commercial Housing in Sichuan Province and Analysis of Influencing Factors Based on Grey System Theory
BT  - Proceedings of the 3rd International Conference on Economy, Management and Entrepreneurship (ICOEME 2020)
PB  - Atlantis Press
SP  - 69
EP  - 74
SN  - 2352-5428
UR  - https://doi.org/10.2991/aebmr.k.200908.011
DO  - 10.2991/aebmr.k.200908.011
ID  - Li2020
ER  -