Proceedings of the 5th International Conference on Economics, Management, Law and Education (EMLE 2019)

Research on Early Warning of Real Estate Bubble in Xiamen City Based on AHP–ECM

Authors
Jiaying Li, Xinyue Jia, Hongjun Yuan
Corresponding Author
Jiaying Li
Available Online 7 January 2020.
DOI
10.2991/aebmr.k.191225.052How to use a DOI?
Keywords
real estate bubble, analytic hierarchy process, efficacy coefficient method, early warning
Abstract

This article takes Xiamen City as the object, selects relevant data of the real estate market from 2008 to 2018, constructs an indicator system of early warning of the real estate bubble, and uses the analytic hierarchy process and efficacy coefficient method to conduct an empirical analysis of the degree of real estate bubbles. The research results show that the state of real estate market in Xiamen City is not good, and the probability of the comprehensive warning coefficient being in the alert range is 55% from 2008 to 2018, and further precautions are needed.

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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Volume Title
Proceedings of the 5th International Conference on Economics, Management, Law and Education (EMLE 2019)
Series
Advances in Economics, Business and Management Research
Publication Date
7 January 2020
ISBN
10.2991/aebmr.k.191225.052
ISSN
2352-5428
DOI
10.2991/aebmr.k.191225.052How to use a DOI?
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/).

Cite this article

TY  - CONF
AU  - Jiaying Li
AU  - Xinyue Jia
AU  - Hongjun Yuan
PY  - 2020
DA  - 2020/01/07
TI  - Research on Early Warning of Real Estate Bubble in Xiamen City Based on AHP–ECM
BT  - Proceedings of the 5th International Conference on Economics, Management, Law and Education (EMLE 2019)
PB  - Atlantis Press
SP  - 301
EP  - 305
SN  - 2352-5428
UR  - https://doi.org/10.2991/aebmr.k.191225.052
DO  - 10.2991/aebmr.k.191225.052
ID  - Li2020
ER  -