Issue |
E3S Web Conf.
Volume 214, 2020
2020 International Conference on Energy Big Data and Low-carbon Development Management (EBLDM 2020)
|
|
---|---|---|
Article Number | 02027 | |
Number of page(s) | 6 | |
Section | Machine Learning and Energy Industry Structure Forecast Analysis | |
DOI | https://doi.org/10.1051/e3sconf/202021402027 | |
Published online | 07 December 2020 |
An Empirical Study of the Influencing Factors of the Agricultural Service Supply of Cooperatives from the Perspective of Industrial Chain
1 Sichuan Police Academy of Science, Chengdu, 610200, China.
2 Sichuan Police College, Luzhou City of Sichuan, 646000, China.
* Corresponding author. Email: ycxq520@sina.com
The study is based on 162 Agricultural Cooperatives in Zhejiang Province. On the basis of literature, this paper analyzes the service situation of agricultural production cooperatives, including production, processing and financing. The influencing factors are discussed theoretically and tested empirically. The study concluded that most cooperatives provide pre-and post-production supply services to participating members, as well as financing services. In addition, in order to strengthen human resources, the leaders of each cooperative are encouraged and the service awareness of the agricultural industrial chain of the cooperative is enhanced; the membership is expanded to facilitate agricultural production and the provision of financing services by the cooperative. At the same time, the increase in post-natal strength provides a positive impact on cooperatives and optimizes the overall market environment for cooperatives. Of course, the agricultural industrial chain services provided by cooperatives are also affected by the variety of products.
© The Authors, published by EDP Sciences, 2020
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.
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