| Issue |
SHS Web Conf.
Volume 192, 2024
2024 3rd International Conference on Urban Planning and Regional Economy (UPRE 2024)
|
|
|---|---|---|
| Article Number | 02002 | |
| Number of page(s) | 4 | |
| Section | Regional Economy and Environmental Impact Analysis | |
| DOI | https://doi.org/10.1051/shsconf/202419202002 | |
| Published online | 05 June 2024 | |
Research on the Supply Chain Development of “Farm-to-Super Docking” for Fresh Agricultural Products in Chengdu City
School of Logistics, Chengdu Information Engineering University, Chengdu 610000, China
a 2846927668@qq.com
* 1210886188@qq.com
b 372893982@qq.com
This study adopts a structural modelling approach, aiming at exploring the development status and influencing factors of the “farm-to-supermarket” model in the supply chain of fresh agricultural products in Chengdu city, as well as its impact on supply chain efficiency and market competitiveness. Firstly, through the literature review of the supply chain of agricultural products in Chengdu, we learnt about the problems of the traditional model and the background of the emergence of the “agricultural super-docking” model. Secondly, the theoretical framework of the impact of the “agricultural super-docking” model on the supply chain of fresh agricultural products in Chengdu is constructed by using structural modelling methodology, and then the relevant data of the “agricultural super-docking” model in Chengdu are collected through field research and empirically investigated by using Structural Equation Modelling (SEM). SEM) was used to analyse the data empirically.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.