Housing Investment Model under High Housing Prices in Beijing

DOI

10.2991/icoss-17.2017.50How to use a DOI?

Keywords

Family income; Rental ratio; Real estate appreciation; Engel coefficient; Happiness index

Abstract

In this paper, through the establishment of mathematical models of ordinary residents in Beijing to invest in the choice of a house or choose to rent a suitable problem. First of all, from the actual economic situation in Beijing, to find out the impact of Beijingers choose to buy a house or rent five important factors, namely: family income, rental income, savings and loan interest rates, housing depreciation rate, housing vacancy rate. Secondly, from the perspective of ordinary residents of loans to buy a house, buy a house and buy a house rental of the three options of the optimal problem. Finally, the author establishes a linear programming model to analyze the optimal solution of a house or a rental. By comparing the appreciation of the property with the ratio of rent to sale, the relationship between house price and rent is studied, and the specific and detailed purchase or rental is made. Suitable for optimal selection.

Copyright

© 2017, 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  - Xinfang Song
AU  - Shaoqiang Wang
PY  - 2017/04
DA  - 2017/04
TI  - Housing Investment Model under High Housing Prices in Beijing
BT  - Proceedings of the 2017 International Conference on Society Science (ICoSS 2017)
PB  - Atlantis Press
SP  - 288
EP  - 293
SN  - 2352-5398
UR  - https://doi.org/10.2991/icoss-17.2017.50
DO  - 10.2991/icoss-17.2017.50
ID  - Song2017/04
ER  -