Proceedings of the Second International Symposium on Management and Social Sciences (ISMSS 2020)

Quality Grade Evaluation Index System for the Development of “Belt and Road” Logistics Industry Based on Entropy Weight Grey Correlation Method

Authors
Zhijun Dang
Corresponding Author
Zhijun Dang
Available Online 3 December 2020.
DOI
https://doi.org/10.2991/assehr.k.201202.089How to use a DOI?
Keywords
Index system, Fuzzy evaluation method, Logistics quality
Abstract
This paper introduces energy consumption into input variables and regards carbon emissions as by-outputs to analyze related elements from the three dimensions of mobility, industrialization and serviceability. Besides, the total amount, the growth, the demand, the supply, the consumption and the conventionalized level of logistics are set as the criterion levels and logistics industry GDP, total retail sales of consumer goods, unit energy consumption of the logistics industry, conventionalized level of logistics and other 15 indexes are selected to build the comprehensive evaluation index system for the development quality of the logistics industry. At the same time, the entropy weight method is used to empower all indexes and to establish models and the index system is analyzed according to data related to logistics industries of all cities and districts of Shaanxi Province so as to form a proper quality grade evaluation index system for the development of logistics industry under the background of “Belt and Road Initiative”.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Cite this article

TY  - CONF
AU  - Zhijun Dang
PY  - 2020
DA  - 2020/12/03
TI  - Quality Grade Evaluation Index System for the Development of “Belt and Road” Logistics Industry Based on Entropy Weight Grey Correlation Method
BT  - Proceedings of the Second International Symposium on Management and Social Sciences (ISMSS 2020)
PB  - Atlantis Press
SP  - 1
EP  - 6
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.201202.089
DO  - https://doi.org/10.2991/assehr.k.201202.089
ID  - Dang2020
ER  -