JOURNAL ARTICLE
Optimal Strategies for A Dual-Channel Farming Supply Chain with Horizontal Competition and Cooperation.
Published In: Asia-Pacific Journal of Operational Research, 2023, v. 40, n. 2. P. 1 1 of 3
Database: Business Source Ultimate 2 of 3
Authored By: Peng, Hongjun; Sun, Wenting; Pang, Tao 3 of 3
Abstract
In this paper, we consider a dual-channel farming supply chain with two farmers and one distributor, where agriculture products produced by farmers have different quality levels. Farmers sell high-quality products to supermarkets and normal-quality products to small retail markets, respectively. Three scenarios are investigated: decentralized selling through the distributor to supermarkets (the DD mode); centralized selling through the distributor to supermarkets (the CD mode); centralized selling directly to supermarkets (the CS mode). Under the CS mode, farmers need to bear some extra sale cost such as inventory and transportation cost. We derive farmers' optimal strategies of production effort and quality investment. It turns out that as farming scale expands, farmers' production effort decreases, while quality investment increases. Moreover, two farmers' quality investments are the highest under the CS mode and the least under the DD mode. black Further analysis indicates that farmers' total profits are generally the highest under the CS mode, but farmers obtain the highest profits under the CD mode if farmers' extra sale cost under the CS mode exceeds a certain level. Therefore, to improve farmers' welfare and agriculture products' quality simultaneously, the CS mode may be the best choice in most cases, and it leads to a "win–win" situation for farmers and consumers. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Asia-Pacific Journal of Operational Research. 2023/04, Vol. 40, Issue 2, p1
- Document Type:Article
- Subject Area:Marketing
- Publication Date:2023
- ISSN:0217-5959
- DOI:10.1142/S0217595922500154
- Accession Number:162642414
- Copyright Statement:Copyright of Asia-Pacific Journal of Operational Research is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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