Issue |
E3S Web Conf.
Volume 253, 2021
2021 International Conference on Environmental and Engineering Management (EEM 2021)
|
|
---|---|---|
Article Number | 01061 | |
Number of page(s) | 7 | |
Section | Intelligent Environmental Monitoring and Quality Technology Assessment | |
DOI | https://doi.org/10.1051/e3sconf/202125301061 | |
Published online | 06 May 2021 |
Analysis on Development Efficiency of Rural E-commerce Based on DEA in Sichuan Province
Sichuan Agricultural University, Dujiangyan, Chengdu,Sichuan , China
a e-mail: zy2tiao@163.com
b e-mail: Rickydrq@163.com
c* e-mail: cjysc@qq.com
d* e-mail: 529412843@qq.com
Under the background of the new era, the development efficiency of rural e-commerce is closely related to the context of rural revitalization. As a big agricultural province in China, Sichuan Province has actively developed rural e-commerce in recent years. Based on the two-year field survey data, government website data, select talent reserve, logistics construction, policy support as input indicators, e-commerce development level, poverty alleviation effect as output indicators, the DEA analysis method is used to analyze the problems of regional development of rural e-commerce in Sichuan, such as imbalance, unreasonable input resources, etc. Based on this, this paper puts forward some suggestions on the development of rural ecommerce talents, the matching of capital injection and demand, and the orientation of rural e-commerce in order to provide reference for the development of rural e-commerce in Sichuan counties.
© The Authors, published by EDP Sciences, 2021
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.