Proceedings of the 6th International Conference on Economics, Management, Law and Education (EMLE 2020)

Research on Full Cycle Risk Management of Logistics Real Estate Based on Risk Matrix

Authors
Yueying Wang
Corresponding Author
Yueying Wang
Available Online 21 February 2021.
DOI
10.2991/aebmr.k.210210.080How to use a DOI?
Keywords
risk matrix, full cycle, logistics real estate, risk, risk indicator
Abstract

Through literature research and expert interview, this paper sorts out the risk factors of logistics park projects in the whole life cycle, constructs the evaluation index system of investment risk factors, evaluates the risk level by using the risk matrix method, formulates corresponding countermeasures for different risk factors, and forms the investment risk management mechanism. This paper aims to help logistics real estate developers identify risks in advance and effectively avoid risks in the investment process.

Copyright
© 2021, 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 6th International Conference on Economics, Management, Law and Education (EMLE 2020)
Series
Advances in Economics, Business and Management Research
Publication Date
21 February 2021
ISBN
10.2991/aebmr.k.210210.080
ISSN
2352-5428
DOI
10.2991/aebmr.k.210210.080How to use a DOI?
Copyright
© 2021, 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  - Yueying Wang
PY  - 2021
DA  - 2021/02/21
TI  - Research on Full Cycle Risk Management of Logistics Real Estate Based on Risk Matrix
BT  - Proceedings of the 6th International Conference on Economics, Management, Law and Education (EMLE 2020)
PB  - Atlantis Press
SP  - 498
EP  - 501
SN  - 2352-5428
UR  - https://doi.org/10.2991/aebmr.k.210210.080
DO  - 10.2991/aebmr.k.210210.080
ID  - Wang2021
ER  -