Proceedings of the Second International Conference On Economic and Business Management (FEBM 2017)

Risk assessment on convergence development between logistics and estate industries

Authors
Xianwen Gong
Corresponding Author
Xianwen Gong
Available Online October 2017.
DOI
https://doi.org/10.2991/febm-17.2017.108How to use a DOI?
Keywords
logistics industry; related industry; convergence development; logistics estate industry; risk assessment
Abstract
Convergence development between logistics industry and estate industry promotes the emergence of new industry forms: logistics estate industry. Generally speaking, logistics estate is considered to be low-risk and high-return investment project, and favored by investors. But there are still potential risks. Therefore, this paper analyses the risk factors based on the logistics estate value chain, establishes a risk assessment model by entropy method, and makes an empirical research on the basis of case collected in West China. The result shows that the risk index system based on value chain could cover the whole stage of logistics estate development. As a simple and effective method of risk assessment, entropy method could exclude human factors interference of index weight and improve the objectivity of the evaluation results.
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Proceedings
Second International Conference On Economic and Business Management (FEBM 2017)
Part of series
Advances in Economics, Business and Management Research
Publication Date
October 2017
ISBN
978-94-6252-423-1
ISSN
2352-5428
DOI
https://doi.org/10.2991/febm-17.2017.108How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Xianwen Gong
PY  - 2017/10
DA  - 2017/10
TI  - Risk assessment on convergence development between logistics and estate industries
BT  - Second International Conference On Economic and Business Management (FEBM 2017)
PB  - Atlantis Press
SN  - 2352-5428
UR  - https://doi.org/10.2991/febm-17.2017.108
DO  - https://doi.org/10.2991/febm-17.2017.108
ID  - Gong2017/10
ER  -